Upload 3 files

app.py

@@ -1,48 +1,29 @@
+print('Running')
+import time
 import requests
 import pandas as pd
 import seaborn as sns
 import matplotlib.pyplot as plt
 from matplotlib.pyplot import figure
 from matplotlib.offsetbox import OffsetImage, AnnotationBbox
-#from scipy import stats
+from scipy import stats
 import matplotlib.lines as mlines
 import matplotlib.transforms as mtransforms
 import numpy as np
+import time
 #import plotly.express as px
 #!pip install chart_studio
-# import chart_studio.tools as tls
-#from bs4 import BeautifulSoup
+#import chart_studio.tools as tls
+from bs4 import BeautifulSoup
 import matplotlib.pyplot as plt
 import numpy as np
 import matplotlib.font_manager as font_manager
 from datetime import datetime
 import pytz
-from datetime import date
-datetime.now(pytz.timezone('US/Pacific')).strftime('%B %d, %Y')
-# Configure Notebook
-#%matplotlib inline
-plt.style.use('fivethirtyeight')
-sns.set_context("notebook")
-import warnings
-warnings.filterwarnings('ignore')
-#from urllib.request import urlopen
-import json
-from datetime import date, timedelta
-#import dataframe_image as dfi
-#from os import listdir
-#from os.path import isfile, join
-import datetime
-import seaborn as sns
-import os
-import calendar
-#from IPython.display import display, HTML
-import matplotlib.image as mpimg
-#from skimage import io
-#import difflib 
-
-
-from datetime import datetime
-import pytz
+from matplotlib.ticker import MaxNLocator
+from matplotlib.patches import Ellipse
+import matplotlib.transforms as transforms
+from matplotlib.gridspec import GridSpec
 datetime.now(pytz.timezone('US/Pacific')).strftime('%B %d, %Y')
 # Configure Notebook
 #%matplotlib inline
@@ -55,117 +36,43 @@ warnings.filterwarnings('ignore')
 # import yahoo_oauth
 import json
 #import openpyxl
-#from sklearn import preprocessing
-from PIL import Image
-import logging
-import matplotlib.patches as patches
-from matplotlib.patches import Rectangle
-from matplotlib.font_manager import FontProperties
-from matplotlib.offsetbox import OffsetImage, AnnotationBbox
+from sklearn import preprocessing
+from datetime import timedelta
+import dataframe_image as dfi
+# from google.colab import drive
+def percentile(n):
+    def percentile_(x):
+        return np.percentile(x, n)
+    percentile_.__name__ = 'percentile_%s' % n
+    return percentile_
 
-import requests
-#import pickle
-import pandas as pd
-
-# # Loop over the counter and format the API call
-r = requests.get('https://statsapi.web.nhl.com/api/v1/schedule?startDate=2023-10-01&endDate=2024-06-01')
-schedule = r.json()
+import os
+import praw
+import matplotlib.pyplot as plt
+import matplotlib.colors
+import matplotlib.colors as mcolors
+cmap_sum = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#4285f4","#FFFFFF","#F0E442"])
+#import pybaseball
+import math
+import matplotlib.ticker as mtick
+import matplotlib.ticker as ticker
+
+colour_palette = ['#FFB000','#648FFF','#785EF0',
+                  '#DC267F','#FE6100','#3D1EB2','#894D80','#16AA02','#B5592B','#A3C1ED']
+import matplotlib.colors as mcolors
+from  matplotlib.ticker import FuncFormatter
+from matplotlib.font_manager import FontProperties
 
-def flatten(t):
-    return [item for sublist in t for item in sublist]
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.colors
 
-game_id = flatten([[x['gamePk'] for x in schedule['dates'][y]['games']] for y in range(0,len(schedule['dates']))])
-game_date = flatten([[x['gameDate'] for x in schedule['dates'][y]['games']] for y in range(0,len(schedule['dates']))])
-game_home = flatten([[x['teams']['home']['team']['name'] for x in schedule['dates'][y]['games']] for y in range(0,len(schedule['dates']))])
-game_away = flatten([[x['teams']['away']['team']['name'] for x in schedule['dates'][y]['games']] for y in range(0,len(schedule['dates']))])
+#x,y,c = zip(*np.random.rand(30,3)*4-2)
 
-schedule_df = pd.DataFrame(data={'game_id': game_id, 'game_date' : game_date, 'game_home' : game_home, 'game_away' : game_away})
-schedule_df.game_date = pd.to_datetime(schedule_df['game_date']).dt.tz_convert(tz='US/Eastern').dt.date
-schedule_df = schedule_df.replace('Montréal Canadiens','Montreal Canadiens')
-schedule_df.head()
+#norm=plt.Normalize(-2,2)
+co = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#ffffff","#F0E442"])
 
-team_abv = pd.read_csv('team_abv.csv')
-yahoo_weeks = pd.read_csv('yahoo_weeks.csv')
-#yahoo_weeks['Number'] = yahoo_weeks['Number'].astype(int)
-yahoo_weeks['Start'] = pd.to_datetime(yahoo_weeks['Start'])
-yahoo_weeks['End'] = pd.to_datetime(yahoo_weeks['End'])
-yahoo_weeks.head(5)
-
-def highlight_cols(s):
-    color = '#C2FEE9'
-    return 'background-color: %s' % color
-def highlight_cells(val):
-    color = 'white' if val == ' ' else ''
-    return 'background-color: {}'.format(color)
 
-import matplotlib.pyplot as plt
-import matplotlib.colors
-cmap_total = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#56B4E9","#FFFFFF","#F0E442"])
-cmap_off = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#FFFFFF","#F0E442"])
-cmap_back = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#FFFFFF","#56B4E9"])
-cmap_sum = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#FFFFFF","#F0E442"])
-
-schedule_df = schedule_df.merge(right=team_abv,left_on='game_away',right_on='team_name',how='inner',suffixes=['','_away']) 
-schedule_df = schedule_df.merge(right=team_abv,left_on='game_home',right_on='team_name',how='inner',suffixes=['','_home']) 
-schedule_df['away_sym'] = '@'
-schedule_df['home_sym'] = 'vs'
-
-
-#if not os.path.isfile('standings/standings_'+str(date.today())+'.csv'):   
-standings_df_old = pd.read_html('https://www.hockey-reference.com/leagues/NHL_2023_standings.html')[0].append(pd.read_html('https://www.hockey-reference.com/leagues/NHL_2023_standings.html')[1])
-#    standings_df_old.to_csv('standings/standings_'+str(date.today())+'.csv')
-#standings_df_old = pd.read_csv('standings/standings_'+str(date.today())+'.csv',index_col=[0])
-
-standings_df = standings_df_old[standings_df_old['Unnamed: 0'].str[-8:] != 'Division'].sort_values('Unnamed: 0').reset_index(drop=True).rename(columns={'Unnamed: 0':'Team'})#.drop(columns='Unnamed: 0')
-#standings_df = standings_df.replace('St. Louis Blues','St Louis Blues')
-standings_df['GF/GP'] = standings_df['GF'].astype(int)/standings_df['GP'].astype(int)
-standings_df['GA/GP'] = standings_df['GA'].astype(int)/standings_df['GP'].astype(int)
-standings_df['GF_Rank']  = standings_df['GF/GP'].rank(ascending=True,method='first')/10-1.65
-standings_df['GA_Rank'] = standings_df['GA/GP'].rank(ascending=False,method='first')/10-1.65
-standings_df.Team = standings_df.Team.str.strip('*') 
-standings_df = standings_df.merge(right=team_abv,left_on='Team',right_on='team_name')
-
-schedule_stack = pd.DataFrame()
-schedule_stack['date'] = pd.to_datetime(list(schedule_df['game_date'])+list(schedule_df['game_date']))
-schedule_stack['team'] = list(schedule_df['team_name'])+list(schedule_df['team_name_home'])
-schedule_stack['team_abv'] = list(schedule_df['team_abv'])+list(schedule_df['team_abv_home'])
-schedule_stack['symbol'] = list(schedule_df['away_sym'])+list(schedule_df['home_sym'])
-schedule_stack['team_opponent'] =  list(schedule_df['team_name_home'])+list(schedule_df['team_name'])
-schedule_stack['team_abv_home'] = list(schedule_df['team_abv_home'])+list(schedule_df['team_abv'])
-schedule_stack = schedule_stack.merge(right=standings_df[['team_abv','GF_Rank']],left_on='team_abv',right_on='team_abv',how='inner',suffixes=("",'_y'))
-schedule_stack = schedule_stack.merge(right=standings_df[['team_abv','GA_Rank']],left_on='team_abv_home',right_on='team_abv',how='inner',suffixes=("",'_y'))
-
-schedule_stack = schedule_stack.merge(right=standings_df[['team_abv','GF_Rank']],left_on='team_abv',right_on='team_abv',how='inner',suffixes=("",'_y'))
-schedule_stack = schedule_stack.merge(right=standings_df[['team_abv','GA_Rank']],left_on='team_abv_home',right_on='team_abv',how='inner',suffixes=("",'_y'))
- 
- 
-list_o = schedule_stack.sort_values(['team','date'],ascending=[True,True]).reset_index(drop=True)
-new_list = [x - y for x, y in zip(list_o['date'][1:], list_o['date'])]
-b2b_list = [0] + [x.days for x in new_list]
-b2b_list = [1 if x==1 else 0 for x in b2b_list]
-test = list(schedule_stack.groupby(by='date').count()['team'])
-offnight = [1 if x<15 else 0 for x in test]
-offnight_df = pd.DataFrame({'date':schedule_stack.sort_values('date').date.unique(),'offnight':offnight}).sort_values('date').reset_index(drop=True)
-schedule_stack = schedule_stack.merge(right=offnight_df,left_on='date',right_on='date',how='right')
-schedule_stack = schedule_stack.sort_values(['team','date'],ascending=[True,True]).reset_index(drop=True)
-schedule_stack['b2b'] = b2b_list
-
-schedule_stack.date = pd.to_datetime(schedule_stack.date)
-
-away_b2b = []
-home_b2b = []
-for i in range(0,len(schedule_stack)):
-    away_b2b.append(schedule_stack[(schedule_stack.date[i]==schedule_stack.date)&(schedule_stack.team_opponent[i]==schedule_stack.team)].reset_index(drop=True)['b2b'][0])
-    home_b2b.append(schedule_stack[(schedule_stack.date[i]==schedule_stack.date)&(schedule_stack.team[i]==schedule_stack.team)].reset_index(drop=True)['b2b'][0])
-
-schedule_stack['away_b2b'] = away_b2b
-schedule_stack['home_b2b'] = home_b2b
-
-schedule_stack['away_b2b'] = schedule_stack['away_b2b'].replace(1,' &#128564;')
-schedule_stack['away_b2b'] = schedule_stack['away_b2b'].replace(0,'')
-schedule_stack.head()
-
-FontProperties(fname='/System/Library/Fonts/Apple Color Emoji.ttc')
 try: 
     data_r = requests.get("https://pub-api-ro.fantasysports.yahoo.com/fantasy/v2/league/427.l.public;out=settings/players;position=ALL;start=0;count=3000;sort=rank_season;search=;out=percent_owned;out=auction_values,ranks;ranks=season;ranks_by_position=season;out=expert_ranks;expert_ranks.rank_type=projected_season_remaining/draft_analysis;cut_types=diamond;slices=last7days?format=json_f").json()
     key_check = data_r['fantasy_content']['league']['players']
@@ -186,7 +93,6 @@ for x in data_r['fantasy_content']['league']['players']:
     single_list.append(x['player']['name']['last'])
     single_list.append(x['player']['draft_analysis']['average_pick'])
     single_list.append(x['player']['average_auction_cost'])
-    single_list.append(x['player']['projected_auction_value'])
     single_list.append(x['player']['display_position'])
     single_list.append(x['player']['editorial_team_abbr'])
     if 'value' in x['player']['percent_owned']:
@@ -196,274 +102,265 @@ for x in data_r['fantasy_content']['league']['players']:
     total_list.append(single_list)
 
 
-df_2023 = pd.DataFrame(data=total_list,columns=['player_id','rank_value','full','first','last','average_pick', 'average_cost','display_position','editorial_team_abbr','percent_owned'])
+yahoo_df = pd.DataFrame(total_list,columns = ['player_id','rank_value','full','first','last','average_pick','average_auction_cost','display_position','editorial_team_abbr','percent_owned'])
+yahoo_df_2 = yahoo_df.copy()
+
+# Write your code here.
+response = requests.get("https://www.naturalstattrick.com/playerlist.php?fromseason=20232024&thruseason=20232024&stype=2&sit=all&stdoi=oi&rate=n")
+soup = BeautifulSoup(response.text, 'html.parser')
+table_rows = soup.findAll('tr')
+table_rows = table_rows[1:-1]
+table_rows[0].findAll('td')
+
+player_name = []
+player_position = []
+player_team = []
+player_id = []
+
+for i in range(0,len(table_rows)-1):
+    player_name.append(str(table_rows[i].findAll('td')[0].contents[0]))
+    player_position.append(table_rows[i].findAll('td')[1].contents[0])
+    player_team.append(table_rows[i].findAll('td')[2].contents[0])
+    player_id.append(str(table_rows[i].findAll('td')[3].contents[0])[-76:][:7])
+
+player_id_df = pd.DataFrame({'Player':player_name,'Player ID':player_id,'Position':player_position,'Team':player_team})
+#player_id_df.index.name = 'Player Name'
+player_id_df.head()
 
-week_dict = yahoo_weeks.set_index('Number')['Week'].sort_index().to_dict()
+skater_df = player_id_df[player_id_df['Position'] != 'G']
+goalie_df = player_id_df[player_id_df['Position'] == 'G']
+
+season = 20232024
+seasontype = 2
+
+def nat_stat_trick_range_pp_gp(rookie='n',start_date='2022-10-01',end_date=str(pd.to_datetime(datetime.now(pytz.timezone('US/Pacific')).strftime('%Y-%m-%d')).date()),sit='all',gp=1):
+    url = f'https://www.naturalstattrick.com/playerteams.php?fromseason={season}&thruseason={season}&stype={seasontype}&sit=pp&score=all&stdoi=std&rate=y&team=ALL&pos=S&loc=B&toi=0&gpfilt=gpteam&fd=&td=&tgp='+str(gp)+'&lines=single&draftteam=ALL'
+
+    player_list_all = []
+    response = requests.get(url)
+    soup = BeautifulSoup(response.text, 'html.parser')
+    table_rows = soup.findAll('tr')
+    table_rows = table_rows[1:]
+
+    for j in range(0,len(table_rows)):
+      p_string = [str(x).strip('<td>').strip('</') for x  in list(table_rows[j].findAll('td')) if "<td>" in str(x)]
+      player_list_all.append([p_string[0]]+[str(table_rows[j].findAll('td')[1]).split('>')[2].split('<')[0]]+p_string[1:]+[str(table_rows[j].findAll('td')[1])[98:105].strip('</a></td>')])
+    #table_rows[0].findAll('td')
+
+    if soup != "":
+      columns_list = [str(x).split('>')[1].split('<')[0] for x in soup.findAll('th')]+['player_id']
+      df_url = pd.DataFrame(data=player_list_all,columns=columns_list)
+
+    df_url = df_url.fillna(0)
+    df_url['Shots+Hits+Blocks/60'] = df_url['Shots/60'].astype(float)+df_url['Hits/60'].astype(float)+df_url['Shots Blocked/60'].astype(float)
+    df_url['Shots+Hits/60'] = df_url['Shots/60'].astype(float)+df_url['Hits/60'].astype(float)
+    #print(url)
+    return df_url
+
+team_abv = pd.read_csv('team_abv.csv')
+team_dict = team_abv.set_index('team_abv').to_dict()
+
+yahoo_nhl_df = pd.read_csv('yahoo_to_nhl.csv', encoding='unicode_escape')
+
+def nat_stat_convert(df):
+    for i in range(0,len(df.columns)):
+        if df.columns[i][-3:]=='/60':
+            if 'ix' not in df.columns[i]:
+                df[df.columns[i]] = np.round(df[df.columns[i]].astype(float)*df['TOI'].astype(float)/60,0)
+                df = df.rename(columns={df.columns[i]: df.columns[i].replace('/60','')})
+            else:
+                df[df.columns[i]] = df[df.columns[i]].astype(float)*df['TOI'].astype(float)/60
+                df = df.rename(columns={df.columns[i]: df.columns[i].replace('/60','')})
+
+    df['Faceoffs %'] = df['Faceoffs Won']/(df['Faceoffs Won']+df['Faceoffs Lost'])
+
+    return df
 
 from shiny import ui, render, App
 import matplotlib.image as mpimg
-# app_ui = ui.page_fluid(
-
-#     # ui.output_plot("plot"),
-#     #ui.h2('MLB Batter Launch Angle vs Exit Velocity'),
-#     ui.layout_sidebar(
-#         ui.panel_sidebar(
-#             ui.input_select("id", "Select Batter",batter_dict),
-
-#             ui.input_select("plot_id", "Select Plot",{'scatter':'Scatter Plot','dist':'Distribution Plot'})))
-#         ,
-
-#     ui.panel_main(ui.output_plot("plot",height = "750px",width="1250px")),
-#     #ui.download_button('test','Download'),
-# )
-app_ui = ui.page_fluid(ui.layout_sidebar(
-    # Available themes:
-    #  cerulean, cosmo, cyborg, darkly, flatly, journal, litera, lumen, lux,
-    #  materia, minty, morph, pulse, quartz, sandstone, simplex, sketchy, slate,
-    #  solar, spacelab, superhero, united, vapor, yeti, zephyr
-        
+app_ui = ui.page_fluid(
+    #ui.panel_title("Simulate a normal distribution"),
+
+    ui.layout_sidebar(
+
       ui.panel_sidebar(
-            ui.input_select("week_id", "Select Week (Set as Season for Custom Date Range)",week_dict,width=1),
-            ui.input_select("sort_id", "Sort Column",['Score','Team','Total','Off-Night','B2B'],width=1),
-            ui.input_switch("a_d_id", "Ascending?"),
-            #ui.input_select("date_id", "Select Date",yahoo_weeks['Week'],width=1),
-            ui.input_date_range("date_range_id", "Date range input",start = datetime.today().date(), end = datetime.today().date() + timedelta(days=6)),
-            ui.output_table("result"),width=3),
-         
-        
+        #ui.input_date_range("date_range_id", "Date range input",start = statcast_df.game_date.min(), end = statcast_df.game_date.max()),
+        ui.input_select("team_id", "Select Team",team_dict,width=1,size=1,selected='ANA'),
+        ui.input_numeric("n_1", "Last Games x", value=1),
+        ui.input_numeric("n_2", "Last Games y", value=0),
+        ui.input_numeric("n_3", "Last Games z", value=0),
+        ui.input_numeric("top_n", "Show top 'n'", value=10),
+      ),
+
         ui.panel_main(ui.tags.h3(""),
                       ui.div({"style": "font-size:2em;"},ui.output_text("txt_title")),
                       #ui.tags.h2("Fantasy Hockey Schedule Summary"),
-                      ui.tags.h5("Created By: @TJStats,     Data: NHL"),
+                      ui.tags.h5("Created By: @TJStats,     Data: Natural Stat Trick, Yahoo Fantasy"),
                       ui.div({"style": "font-size:1.2em;"},ui.output_text("txt")),
-                      ui.output_table("schedule_result"),
-                      ui.tags.h5('Legend'),
-                      ui.output_table("schedule_result_legend"),
-                      ui.tags.h6('An Off Night is defined as a day in which less than half the teams in the NHL are playing'),
-                      ui.tags.h6('The scores are determined by using games played, off-nights, B2B, and strength of opponents') )
-
-        ))
-        #  ui.row(
-        #         ui.column(
-        #             3,
-        #                 ui.input_date("x", "Date input"),),
-        #         ui.column(
-        #             1,
-        #             ui.input_select("level_id", "Select Level",level_dict,width=1)),
-        #         ui.column(
-        #             3,
-        #             ui.input_select("stat_id", "Select Stat",plot_dict_small,width=1)),
-        #         ui.column(
-        #             2,
-        #             ui.input_numeric("n", "Rolling Window Size", value=50)),
-        #         ),
-        #             ui.output_table("result_batters")),
-
-                # ui.nav(
-                #     "Pitchers",
-
-                #                 ui.row(
-                # ui.column(
-                #     3,
-                #     ui.input_select("id_pitch", "Select Pitcher",pitcher_dict,width=1,selected=675911),
-                #     ),
-                # ui.column(
-                #     1,
-                #     ui.input_select("level_id_pitch", "Select Level",level_dict,width=1)),
-                # ui.column(
-                #     3,
-                #     ui.input_select("stat_id_pitch", "Select Stat",plot_dict_small_pitch,width=1)),
-                # ui.column(
-                #     2,
-                #         ui.input_numeric("n_pitch", "Rolling Window Size", value=50)),
-                # ),
-                #     ui.output_table("result_pitchers")),
-#             )
-#         )
-# )
+                      ui.output_table("pp_roundup"),
+                      #ui.tags.h5('Legend'),
+                     #ui.tags.h6('An Off Night is defined as a day in which less than half the teams in the NHL are playing'),
+                      #ui.tags.h6('The scores are determined by using games played, off-nights, B2B, and strength of opponents') )
+        )
+    ),
+)
 
 
 
 
 from urllib.request import Request, urlopen
+from shiny import App, reactive, ui
+from shiny.ui import h2, tags
 # importing OpenCV(cv2) module
 
 
 
 
+#print(app_ui)
 def server(input, output, session):
 
+
     @output
     @render.text
     def txt():
-        
-        week_set = int(input.week_id())
-        if week_set != 0:
-            if pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]['Start'].values[0]).year != pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]['End'].values[0]).year:
-
-                return f'{pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]["Start"].values[0]).strftime("%B %d, %Y")} to {pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]["End"].values[0]).strftime("%B %d, %Y")}'
-            else:
-                if pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]["Start"].values[0]).month != pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]["End"].values[0]).month:
-                    return f'{pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]["Start"].values[0]).strftime("%B %d")} to {pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]["End"].values[0]).strftime("%B %d, %Y")}'
-                else:
-                    return f'{pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]["Start"].values[0]).strftime("%B %d")} to {pd.to_datetime(yahoo_weeks[yahoo_weeks.Number == week_set]["End"].values[0]).strftime("%d, %Y")}'
-        else:
-            if input.date_range_id()[0].year != input.date_range_id()[1].year:
-
-                return f'{input.date_range_id()[0].strftime("%B %d, %Y")} to {input.date_range_id()[1].strftime("%B %d, %Y")}'
-            else:
-                if input.date_range_id()[0].month != input.date_range_id()[1].month:
-                    return f'{input.date_range_id()[0].strftime("%B %d")} to {input.date_range_id()[1].strftime("%B %d, %Y")}'
-                else:
-                    return f'{input.date_range_id()[0].strftime("%B %d")} to {input.date_range_id()[1].strftime("%d, %Y")}'            
-
-
+        return   f'{input.team_id()} Last Games PP Summary'
+      
     @output
     @render.text
     def txt_title():
-        week_set = int(input.week_id())
-        if week_set != 0:
-            return f'Fantasy Hockey Schedule Summary - Yahoo - Week {input.week_id()}'
-        else:
-            return f'Fantasy Hockey Schedule Summary'
-
-    @output
-    @render.table
-    def result():
-        #print(yahoo_weeks)
-        return yahoo_weeks[['Week','Start','End']]
-
-    @output
-    @render.table
-    def schedule_result():
-        
-
-        week_set = int(input.week_id())
-        print(week_set)
+    
+        return f'Team Last Games PP% Leaders'
 
-        if week_set == 0:
-            start_point = input.date_range_id()[0]
-            end_point = input.date_range_id()[1]
-        else:   
-            start_point = yahoo_weeks[yahoo_weeks.Number==week_set].reset_index(drop=True)['Start'][0]
-            end_point = yahoo_weeks[yahoo_weeks.Number==week_set].reset_index(drop=True)['End'][0]
 
 
-        sort_value='Score'
-        ascend=False
-
-        weekly_stack = schedule_stack[(schedule_stack['date'].dt.date>=start_point)&(schedule_stack['date'].dt.date<=end_point)]
-        date_list = pd.date_range(start_point,end_point,freq='d')
-        test_list = [[]] * len(date_list)
 
 
+    @output
+    @render.table
+    def pp_roundup():
 
-        for i in range(0,len(date_list)):
-            test_list[i]  = team_abv.merge(right=weekly_stack[weekly_stack['date']==date_list[i]],left_on='team_abv',right_on='team_abv',how='left')
-            test_list[i] = test_list[i].fillna("")
-            test_list[i]['new_text'] = test_list[i]['symbol'] + ' '+ test_list[i]['team_abv_home'] + test_list[i]['away_b2b']
+        top_n = input.top_n()
+        n_1 = input.n_1()
+        n_2 = input.n_2()
+        n_3 = input.n_3()
 
+        list_of_columns =  ['Player', 'Team', 'display_position','percent_owned','L'+str(n_1)+' PP TOI','L'+str(n_2)+' PP TOI','L'+str(n_3)+' PP TOI',
+                                 'L'+str(n_1)+' PP%','L'+str(n_2)+' PP%','L'+str(n_3)+' PP%']
 
-        test_df = pd.DataFrame()
-        test_df['Team'] = list(team_abv['team_abv'])
-        test_df['Total'] = test_df.merge(right=weekly_stack.groupby('team_abv')['team_abv'].apply(lambda x: x[x != ''].count()),left_on=['Team'],right_index=True,how='left').fillna(0)['team_abv']
-        test_df['Off-Night'] = test_df.merge(right=weekly_stack.groupby('team_abv').sum()['offnight'],left_on=['Team'],right_index=True,how='left').fillna(0)['offnight']
-        test_df['B2B']= test_df.merge(right=weekly_stack.groupby('team_abv').sum()['b2b'],left_on=['Team'],right_index=True,how='left').fillna(0)['b2b']
+        list_of_columns_name =  ['Player', 'Team', 'Position','Roster%','L'+str(n_1)+' PP TOI','L'+str(n_2)+' PP TOI','L'+str(n_3)+' PP TOI',
+                                 'L'+str(n_1)+' PP%','L'+str(n_2)+' PP%','L'+str(n_3)+' PP%']
 
+        if type(n_1) is not int:
+            n_1 = 1
+            
+        if n_2 == 0:
+            list_of_columns.remove(f'L{str(n_2)} PP TOI')
+            list_of_columns.remove(f'L{str(n_2)} PP%')
+            list_of_columns_name.remove(f'L{str(n_2)} PP TOI')
+            list_of_columns_name.remove(f'L{str(n_2)} PP%')
 
+        if n_3 == 0:
+            list_of_columns.remove(f'L{str(n_3)} PP TOI')
+            list_of_columns.remove(f'L{str(n_3)} PP%')
+            list_of_columns_name.remove(f'L{str(n_3)} PP TOI')
+            list_of_columns_name.remove(f'L{str(n_3)} PP%')
 
-        gf_rank = np.array(test_df.merge(right=weekly_stack.groupby('team_abv').mean()['GF_Rank'],left_on=['Team'],right_index=True,how='left').fillna(0)['GF_Rank'])
-        ga_rank = np.array(test_df.merge(right=weekly_stack.groupby('team_abv').mean()['GA_Rank'],left_on=['Team'],right_index=True,how='left').fillna(0)['GA_Rank'])
+        start_date ='2023-09-01'
+        end_date = '2024-05-01'
 
+        df_pp_1 = nat_stat_trick_range_pp_gp(rookie='n',start_date = start_date,end_date = end_date, sit='pp',gp=n_1)
+        df_pp_2 = nat_stat_trick_range_pp_gp(rookie='n',start_date = start_date,end_date = end_date, sit='pp',gp=n_2)
+        df_pp_3 = nat_stat_trick_range_pp_gp(rookie='n',start_date = start_date,end_date = end_date, sit='pp',gp=n_3)
 
-        #games_vs_tired = np.array([float(i)*0.4 for i in list(weekly_stack.groupby('team_abv')['away_b2b'].apply(lambda x: x[x != ''].count()))])
 
-        games_vs_tired = 0.4*np.array(test_df.merge(right=weekly_stack.groupby('team_abv')['away_b2b'].apply(lambda x: x[x != ''].count()),left_on=['Team'],right_index=True,how='left').fillna(0)['away_b2b'])
+        df_all_pp_1 = nat_stat_convert(df_pp_1)
+        df_all_pp_2 = nat_stat_convert(df_pp_2)
+        df_all_pp_3 = nat_stat_convert(df_pp_3)
 
+        df_final =  df_all_pp_1.merge( df_all_pp_2,how='outer',left_on=['player_id'],right_on=['player_id'],suffixes=("","_2"))
+        df_final =  df_final.merge( df_all_pp_3,how='outer',left_on=['player_id'],right_on=['player_id'],suffixes=("_1","_3"))
 
-        team_score = test_df['Total']+test_df['Off-Night']*0.5+test_df['B2B']*-0.2+games_vs_tired*0.3+gf_rank*0.1+ga_rank*0.1
 
-        test_df['Score'] = team_score
+        team_report_1 = pd.read_html(f'https://www.naturalstattrick.com/teamtable.php?fromseason={season}&thruseason={season}&stype={seasontype}&sit=pp&score=all&rate=n&team=all&loc=B&gpf=c&gp='+str(n_1)+'&fd=&td=')[0]
+        team_report_2 = pd.read_html(f'https://www.naturalstattrick.com/teamtable.php?fromseason={season}&thruseason={season}&stype={seasontype}&sit=pp&score=all&rate=n&team=all&loc=B&gpf=c&gp='+str(n_2)+'&fd=&td=')[0]
+        team_report_3 = pd.read_html(f'https://www.naturalstattrick.com/teamtable.php?fromseason=fromseason={season}&thruseason={season}&stype={seasontype}&sit=pp&score=all&rate=n&team=all&loc=B&gpf=c&gp='+str(n_3)+'&fd=&td=')[0]
+        team_report_1 = team_report_1.merge(team_abv,left_on=['Team'],right_on=['team_name'],how='left')
+        team_report_2 = team_report_2.merge(team_abv,left_on=['Team'],right_on=['team_name'],how='left')
+        team_report_3 = team_report_3.merge(team_abv,left_on=['Team'],right_on=['team_name'],how='left')
 
+        test = df_final[['player_id','Player_1','Team_1','Position_1','TOI_1','TOI_2','TOI_3',]]
+        test.columns = ['player_id','Player','Team','Position','TOI_1','TOI_2','TOI_3',]
+        test = test.merge(team_report_1[['TOI','team_abv']],how='left',left_on=['Team'],right_on=['team_abv'], suffixes=('','_1_team'))
+        test = test.merge(team_report_2[['TOI','team_abv']],how='left',left_on=['Team'],right_on=['team_abv'], suffixes=('','_2_team'))
+        test = test.merge(team_report_3[['TOI','team_abv']],how='left',left_on=['Team'],right_on=['team_abv'], suffixes=('','_3_team'))
+        test = test.fillna('0:00')
 
-        cols = test_df.columns.tolist();
-        L = len(cols) 
-        test_df = test_df[cols[4:]+cols[0:4]]
-        #return test_df#[cols[4:]+cols[0:4]]
+        test['TOI'] = [int(x[:-3])+int(x[-2:])*100/60/100 for x  in test['TOI'] ]
+        test['TOI_1'] = [x if x!='0:00' else 0 for x in test['TOI_1']]
+        test['TOI_2'] = [x if x!='0:00' else 0 for x in test['TOI_2']]
+        test['TOI_3'] = [x if x!='0:00' else 0 for x in test['TOI_3']]
 
-        test_df = test_df.sort_values(by=[sort_value,'Score'],ascending = ascend)
+        test['TOI_2_team'] = [int(x[:-3])+int(x[-2:])*100/60/100 for x  in test['TOI_2_team'] ]
+        test['TOI_3_team'] = [int(x[:-3])+int(x[-2:])*100/60/100 for x  in test['TOI_3_team']]
 
-        for i in range(0,len(date_list)):
-            test_df[calendar.day_name[date_list[i].weekday()]+'<br>'+str(date_list[i].month)+'-'+'{:02d}'.format(date_list[i].day)] = test_list[i]['new_text']
+        test['TOI'] = test['TOI'].astype(float)
 
-        row = ['']*L
-        for x in  test_df[test_df.columns[L:]]:
-            row.append(int(sum(test_df[x]!=" ")/2))
+        test['PP%_1'] = test['TOI_1'].astype(float)/ test['TOI'].astype(float)
+        test['PP%_2'] = test['TOI_2'].astype(float)/ test['TOI_2_team'].astype(float)
+        test['PP%_3'] = test['TOI_3'].astype(float)/ test['TOI_3_team'].astype(float)
+        test = test.fillna(0)
+        test['TOI_1'] = ["%d:%02d" % (int(x),(x*60)%60) for x in test['TOI_1'].astype(float)]
+        test['TOI_2'] = ["%d:%02d" % (int(x),(x*60)%60) for x in test['TOI_2'].astype(float)]
+        test['TOI_3'] = ["%d:%02d" % (int(x),(x*60)%60) for x in test['TOI_3'].astype(float)]
+        test = test.drop(['team_abv','team_abv_2_team','team_abv_3_team','TOI','TOI_2_team','TOI_3_team'],axis=1)
+        test.columns = ['player_id','Player','Team','Position','L'+str(n_1)+' PP TOI','L'+str(n_2)+' PP TOI','L'+str(n_3)+' PP TOI','L'+str(n_1)+' PP%','L'+str(n_2)+' PP%','L'+str(n_3)+' PP%']
 
-        test_df = test_df.sort_values(by=input.sort_id(),ascending=input.a_d_id())
+        yahoo_df = yahoo_df_2.merge(yahoo_nhl_df,left_on = 'player_id',right_on='player_id_yahoo',suffixes=['','_y'])
+        yahoo_df.nhl_id = yahoo_df.nhl_id.astype(float)
+        test.player_id = test.player_id.astype(float)
 
-        test_df.loc[32] = row
-        #test_df_html = HTML( test_df.to_html().replace("\\n","<br>") ) 
-        offnight_list = [True if x <8 else False for x in test_df.iloc[-1][L:]]
+        test = test.merge(right=yahoo_df,left_on='player_id',right_on='nhl_id',suffixes=['','_y'],how='left')
 
-        test_df.style.applymap(highlight_cols,subset = ((list(test_df.index[:-1]),test_df.columns[L:][offnight_list])))
-        test_df_style = test_df.style.set_properties(**{'border': '3 px'},overwrite=False).set_table_styles([{
-            'selector': 'caption',
-            'props': [
-                ('color', ''),
-                ('fontname', 'Century Gothic'),
-                ('font-size', '20px'),
-                ('font-style', 'italic'),
-                ('font-weight', ''),
-                ('text-align', 'centre'),
-                ]
 
-                },{'selector' :'th', 'props':[('text-align', 'center'),('Height','px'),('color','black'),('border', '1px black solid !important')]},{'selector' :'td', 'props':[('text-align', 'center'),('font-size', '18px'),('color','black')]}],overwrite=False).set_properties(
-                    **{'background-color':'White','index':'White','min-width':'75px'},overwrite=False).set_properties(
-                    **{'background-color':'White','index':'White','min-width':'100px'},overwrite=False,subset = ((list(test_df.index[:]),test_df.columns[5:]))).set_table_styles(
-            [{'selector': 'th:first-child', 'props': [('background-color', 'white')]}],overwrite=False).set_table_styles(
-            [{'selector': 'tr:first-child', 'props': [('background-color', 'white')]}],overwrite=False).set_table_styles(
-            [{'selector': 'tr', 'props': [('line-height', '20px')]}],overwrite=False).set_properties(
-            **{'Height': '8px'},**{'text-align': 'center'},overwrite=False).hide_index()
+        print('Column List')
+        print(test.columns)
 
-        test_df_style = test_df_style.applymap(highlight_cols,subset = ((list(test_df.index[:-1]),test_df.columns[L:][offnight_list])))
 
-        test_df_style = test_df_style.applymap(highlight_cells)
-        test_df_style = test_df_style.background_gradient(cmap=cmap_total,subset = ((list(test_df.index[:-1]),test_df.columns[0])))
-        test_df_style = test_df_style.background_gradient(cmap=cmap_total,vmin=0,vmax=np.max(test_df.Total[:len(test_df)-1]),subset = ((list(test_df.index[:-1]),test_df.columns[2])))
-        test_df_style = test_df_style.background_gradient(cmap=cmap_off,subset = ((list(test_df.index[:-1]),test_df.columns[3])))
-        test_df_style = test_df_style.background_gradient(cmap=cmap_back,subset = ((list(test_df.index[:-1]),test_df.columns[4])))
-        test_df_style = test_df_style.background_gradient(cmap=cmap_sum,subset = ((list(test_df.index[-1:]),test_df.columns[L:])),axis=1)
-        test_df_style = test_df_style.set_properties(
-                    **{'border': '1px black solid !important'},subset = ((list(test_df.index[:-1]),test_df.columns[:]))).set_properties(
-                    **{'min-width':'85px'},subset = ((list(test_df.index[:-1]),test_df.columns[L:])),overwrite=False).set_properties(**{
-                                'color': 'black'},overwrite=False).set_properties(
-                    **{'border': '1px black solid !important'},subset = ((list(test_df.index[:]),test_df.columns[L:])))
+        print(list_of_columns)
+        test = test[list_of_columns]
+        test = test.rename(columns={'percent_owned':'Roster%'})
+        
 
-        test_df_style = test_df_style.format(
-            '{:.0f}',subset=(test_df.index[:-1],test_df.columns[2:L]))
+        top_d_score = test[(test.Team==input.team_id())].sort_values(by=['L'+str(n_1)+' PP%'],ascending=False).reset_index(drop=True)
+        top_d_score = top_d_score.head(min(len(top_d_score),top_n))
 
-        test_df_style = test_df_style.format(
-            '{:.1f}',subset=(test_df.index[:-1],test_df.columns[0]))
 
+        #top_d_score.columns = list_of_columns_name
 
-        print('made it to teh end')
-        return test_df_style
+        cols = top_d_score.columns.tolist();
 
+        top_d_score['Deployment'] = "PP2"
+        top_d_score['Deployment'][0:5] = "PP1"
 
-        #return exit_velo_df_codes_summ_time_style_set
+        # df_style_bang = top_d_score.head(10).style.background_gradient(cmap=co, subset=['L'+str(n_1)+' PP%','L'+str(n_2)+' PP%','L'+str(n_3)+' PP%','Roster%']).hide_index().set_properties(**{'Height': '12px'},**{'text-align': 'center'}).set_table_styles([{
+        #         'selector': 'caption',
+        #         'props': [
+        #             ('color', ''),
+        #             ('fontname', 'Century Gothic'),
+        #             ('font-size', '20px'),
+        #             ('font-style', 'italic'),
+        #             ('font-weight', ''),
+        #             ('text-align', 'centre'),
+        #             ]
 
-    # @output
-    # @render.plot(alt="A histogram")
-    # def plot_pitch():
-    #     p
-    @output
-    @render.table
-    def schedule_result_legend():
+        #             },{'selector' :'th', 'props':[('text-align', 'center'),('Height','5px')]},{'selector' :'td', 'props':[('text-align', 'center'),('font-size', '13px'),('fontname', 'Century Gothic')]}]).format(
+        #                 {'L'+str(n_1)+' PP%': '{:.0%}',
+        #                 'L'+str(n_2)+' PP%': '{:.0%}',
+        #                 'L'+str(n_3)+' PP%': '{:.0%}',
+        #                 'Roster%': '{:.0%}',
+        #                 },)
 
-        off_b2b_df = pd.DataFrame(data={'off':'Off-Night','b2b':'Tired Opp. &#128564;'},index=[0])
-        #off_b2b_df.style.applymap(highlight_cols,subset = ((list(off_b2b_df.index[:-1]),off_b2b_df.columns[0])))
-        off_b2b_df_style = off_b2b_df.style.set_properties(**{'border': '3 px'},overwrite=False).set_table_styles([{
+        df_style_bang = top_d_score.head(input.top_n()).style.background_gradient(cmap=co,vmin=0,vmax=1, subset=[x for x in cols if x.endswith('PP%')]).set_properties(**{'border': '3 px'},overwrite=False).set_table_styles([{
             'selector': 'caption',
             'props': [
                 ('color', ''),
@@ -474,26 +371,24 @@ def server(input, output, session):
                 ('text-align', 'centre'),
                 ]
 
-                },{'selector' :'th', 'props':[('text-align', 'center'),('Height','px'),('color','black'),(
-                    'border', '1px black solid !important')]},{'selector' :'td', 'props':[('text-align', 'center'),('font-size', '18px'),('color','black')]}],overwrite=False).set_properties(
-                    **{'background-color':'White','index':'White','min-width':'150px'},overwrite=False).set_table_styles(
+                },{'selector' :'th', 'props':[('text-align', 'center'),('Height','px'),('color','black'),('border', '1px black solid !important')]},{'selector' :'td', 'props':[('text-align', 'center'),('font-size', '18px'),('color','black')]}],overwrite=False).set_properties(
+                    **{'background-color':'White','index':'White','min-width':'75px'},overwrite=False).set_table_styles(
             [{'selector': 'th:first-child', 'props': [('background-color', 'white')]}],overwrite=False).set_table_styles(
             [{'selector': 'tr:first-child', 'props': [('background-color', 'white')]}],overwrite=False).set_table_styles(
             [{'selector': 'tr', 'props': [('line-height', '20px')]}],overwrite=False).set_properties(
-            **{'Height': '8px'},**{'text-align': 'center'},overwrite=False).set_properties(
-                **{'background-color':'#C2FEE9'},subset=off_b2b_df.columns[0]).set_properties(
-                **{'color':'black'},subset=off_b2b_df.columns[:]).hide_index().set_table_styles([
-            {'selector': 'thead', 'props': [('display', 'none')]}
-            ]).set_properties(**{'border': '3 px','color':'black'},overwrite=False).set_properties(
-                    **{'border': '1px black solid !important'},subset = ((list(off_b2b_df.index[:]),off_b2b_df.columns[:]))).set_properties(
-                    **{'min-width':'130'},subset = ((list(off_b2b_df.index[:]),off_b2b_df.columns[:])),overwrite=False).set_properties(**{
-                                'color': 'black'},overwrite=False).set_properties(
-                    **{'border': '1px black solid !important'},subset = ((list(off_b2b_df.index[:]),off_b2b_df.columns[:])))
-        
-        return off_b2b_df_style
+            **{'Height': '8px'},**{'text-align': 'center'},overwrite=False).hide_index().format(
+                        {'L'+str(n_1)+' PP%': '{:.0%}',
+                        'L'+str(n_2)+' PP%': '{:.0%}',
+                        'L'+str(n_3)+' PP%': '{:.0%}',
+                        'Roster%': '{:.0%}',
+                        },)
+
+        return df_style_bang
 
 
 
+# test = test.fillna(0)
+#test['PP TOI'] = ["%d:%02d" % (int(x),(x*60)%60) if x>0 else '0:00' for x in test['PP TOI']]
 
 
 

team_abv.csv

@@ -24,7 +24,7 @@ PHI,Philadelphia Flyers
 PIT,Pittsburgh Penguins
 S.J,San Jose Sharks
 SEA,Seattle Kraken
-STL,St. Louis Blues
+STL,St Louis Blues
 T.B,Tampa Bay Lightning
 TOR,Toronto Maple Leafs
 VAN,Vancouver Canucks

yahoo_to_nhl.csv

@@ -0,0 +1,805 @@
+player_id_yahoo,full,first,last,nhl_id
+6743,Connor McDavid,Connor,McDavid,8478402
+6369,Leon Draisaitl,Leon,Draisaitl,8477934
+6391,David Pastrnak,David,Pastrnak,8477956
+5980,Nathan MacKinnon,Nathan,MacKinnon,8477492
+7114,Matthew Tkachuk,Matthew,Tkachuk,8479314
+7554,Jason Robertson,Jason,Robertson,8480027
+5425,Nikita Kucherov,Nikita,Kucherov,8476453
+6752,Mikko Rantanen,Mikko,Rantanen,8478420
+7134,Tage Thompson,Tage,Thompson,8479420
+7902,Brady Tkachuk,Brady,Tkachuk,8480801
+7109,Auston Matthews,Auston,Matthews,8479318
+8279,Jack Hughes,Jack,Hughes,8481559
+7519,Cale Makar,Cale,Makar,8480069
+6877,Kirill Kaprizov,Kirill,Kaprizov,8478864
+3637,Alex Ovechkin,Alex,Ovechkin,8471214
+3737,Sidney Crosby,Sidney,Crosby,8471675
+6746,Mitch Marner,Mitch,Marner,8478483
+6486,Igor Shesterkin,Igor,Shesterkin,8478048
+6447,Ilya Sorokin,Ilya,Sorokin,8478009
+5699,Andrei Vasilevskiy,Andrei,Vasilevskiy,8476883
+6791,Roope Hintz,Roope,Hintz,8478449
+7541,Jake Oettinger,Jake,Oettinger,8479979
+7736,Alexandar Georgiev,Alexandar,Georgiev,8480382
+6374,William Nylander,William,Nylander,8477939
+5367,Mika Zibanejad,Mika,Zibanejad,8476459
+6448,Brayden Point,Brayden,Point,8478010
+5853,Linus Ullmark,Linus,Ullmark,8476999
+5362,Ryan Nugent-Hopkins,Ryan,Nugent-Hopkins,8476454
+4681,John Tavares,John,Tavares,8475166
+7520,Elias Pettersson,Elias,Pettersson,8480012
+5820,Connor Hellebuyck,Connor,Hellebuyck,8476945
+5096,Zach Hyman,Zach,Hyman,8475786
+4471,Steven Stamkos,Steven,Stamkos,8474564
+8643,Tim Stutzle,Tim,Stutzle,8482116
+6728,Artemi Panarin,Artemi,Panarin,8478550
+4351,Brad Marchand,Brad,Marchand,8473419
+6777,Sebastian Aho,Sebastian,Aho,8478427
+7174,Adam Fox,Adam,Fox,8479323
+7626,Jeremy Swayman,Jeremy,Swayman,8480280
+6759,Kyle Connor,Kyle,Connor,8478398
+30544,Connor Bedard,Connor,Bedard,8484144
+6057,Jake Guentzel,Jake,Guentzel,8477404
+4491,Erik Karlsson,Erik,Karlsson,8474578
+6062,Carter Verhaeghe,Carter,Verhaeghe,8477409
+6381,Dylan Larkin,Dylan,Larkin,8477946
+6751,Timo Meier,Timo,Meier,8478414
+6384,Alex Tuch,Alex,Tuch,8477949
+4967,Jeff Skinner,Jeff,Skinner,8475784
+7516,Nico Hischier,Nico,Hischier,8480002
+8290,Matt Boldy,Matt,Boldy,8481557
+7899,Rasmus Dahlin,Rasmus,Dahlin,8480839
+6395,Adrian Kempe,Adrian,Kempe,8477960
+5981,Aleksander Barkov,Aleksander,Barkov,8477493
+7143,Jordan Kyrou,Jordan,Kyrou,8479385
+3638,Evgeni Malkin,Evgeni,Malkin,8471215
+7147,Alex DeBrincat,Alex,DeBrincat,8479337
+4002,Claude Giroux,Claude,Giroux,8473512
+4519,Jamie Benn,Jamie,Benn,8473994
+5370,Dougie Hamilton,Dougie,Hamilton,8476462
+5152,Mark Stone,Mark,Stone,8475913
+5470,Johnny Gaudreau,Johnny,Gaudreau,8476346
+4990,Brock Nelson,Brock,Nelson,8475754
+6377,Kevin Fiala,Kevin,Fiala,8477942
+6390,Jared McCann,Jared,McCann,8477955
+7115,Clayton Keller,Clayton,Keller,8479343
+5368,Mark Scheifele,Mark,Scheifele,8476460
+5376,J.T. Miller,J.T.,Miller,8476468
+8285,Dylan Cozens,Dylan,Cozens,8481528
+5988,Bo Horvat,Bo,Horvat,8477500
+7527,Martin Necas,Martin,Necas,8480039
+4930,Roman Josi,Roman,Josi,8474600
+7267,Jesper Bratt,Jesper,Bratt,8479407
+5020,Tyler Toffoli,Tyler,Toffoli,8475726
+3985,Joe Pavelski,Joe,Pavelski,8470794
+7111,Pierre-Luc Dubois,Pierre-Luc,Dubois,8479400
+7122,Charlie McAvoy,Charlie,McAvoy,8479325
+6762,Joel Eriksson Ek,Joel,Eriksson Ek,8478493
+6368,Sam Reinhart,Sam,Reinhart,8477933
+7636,Drake Batherson,Drake,Batherson,8480208
+7163,Filip Gustavsson,Filip,Gustavsson,8479406
+6078,Juuse Saros,Juuse,Saros,8477424
+8878,Matty Beniers,Matty,Beniers,8482665
+5992,Josh Morrissey,Josh,Morrissey,8477504
+7905,Quinn Hughes,Quinn,Hughes,8480800
+9268,Andrei Kuzmenko,Andrei,Kuzmenko,8483808
+4687,Nazem Kadri,Nazem,Kadri,8475172
+6766,Travis Konecny,Travis,Konecny,8478439
+4921,Mats Zuccarello,Mats,Zuccarello,8475692
+4901,Sergei Bobrovsky,Sergei,Bobrovsky,8475683
+5431,Vincent Trocheck,Vincent,Trocheck,8476389
+8287,Trevor Zegras,Trevor,Zegras,8481533
+6480,Viktor Arvidsson,Viktor,Arvidsson,8478042
+4248,Logan Couture,Logan,Couture,8474053
+7518,Miro Heiskanen,Miro,Heiskanen,8480036
+7264,Brandon Hagel,Brandon,Hagel,8479542
+5391,Rickard Rakell,Rickard,Rakell,8476483
+4699,Chris Kreider,Chris,Kreider,8475184
+3788,Anze Kopitar,Anze,Kopitar,8471685
+6424,Brandon Montour,Brandon,Montour,8477986
+6744,Jack Eichel,Jack,Eichel,8478403
+5712,Jonathan Marchessault,Jonathan,Marchessault,8476539
+5161,Frederik Andersen,Frederik,Andersen,8475883
+4263,Mikael Backlund,Mikael,Backlund,8474150
+30111,Devon Levi,Devon,Levi,8482221
+4682,Victor Hedman,Victor,Hedman,8475167
+7900,Andrei Svechnikov,Andrei,Svechnikov,8480830
+5697,Tomas Hertl,Tomas,Hertl,8476881
+4265,David Perron,David,Perron,8474102
+7528,Nick Suzuki,Nick,Suzuki,8480018
+5753,Joonas Korpisalo,Joonas,Korpisalo,8476914
+6764,Ilya Samsonov,Ilya,Samsonov,8478492
+3341,Marc-Andre Fleury,Marc-Andre,Fleury,8470594
+6405,Thatcher Demko,Thatcher,Demko,8477967
+6745,Dylan Strome,Dylan,Strome,8478440
+5991,Max Domi,Max,Domi,8477503
+4498,Jordan Eberle,Jordan,Eberle,8474586
+6055,Pavel Buchnevich,Pavel,Buchnevich,8477402
+5928,Anders Lee,Anders,Lee,8475314
+5984,Elias Lindholm,Elias,Lindholm,8477496
+6756,Jake DeBrusk,Jake,DeBrusk,8478498
+3358,Brent Burns,Brent,Burns,8470613
+6890,Troy Terry,Troy,Terry,8478873
+8314,Pyotr Kochetkov,Pyotr,Kochetkov,8481611
+6485,Michael Bunting,Michael,Bunting,8478047
+5336,Darcy Kuemper,Darcy,Kuemper,8475311
+7593,Stuart Skinner,Stuart,Skinner,8479973
+7908,Evan Bouchard,Evan,Bouchard,8480803
+8658,Dawson Mercer,Dawson,Mercer,8482110
+6024,Tristan Jarry,Tristan,Jarry,8477465
+7156,Carter Hart,Carter,Hart,8479394
+5639,Reilly Smith,Reilly,Smith,8475191
+6408,Vitek Vanecek,Vitek,Vanecek,8477970
+7525,Owen Tippett,Owen,Tippett,8480015
+4685,Brayden Schenn,Brayden,Schenn,8475170
+4984,Kevin Hayes,Kevin,Hayes,8475763
+4986,Evgeny Kuznetsov,Evgeny,Kuznetsov,8475744
+5387,Phillip Danault,Phillip,Danault,8476479
+5626,Alex Killorn,Alex,Killorn,8473986
+4503,John Carlson,John,Carlson,8474590
+6707,Frank Vatrano,Frank,Vatrano,8478366
+5405,Boone Jenner,Boone,Jenner,8476432
+4683,Matt Duchene,Matt,Duchene,8475168
+5032,Jason Zucker,Jason,Zucker,8475722
+7110,Patrik Laine,Patrik,Laine,8479339
+8284,Moritz Seider,Moritz,Seider,8481542
+6765,Brock Boeser,Brock,Boeser,8478444
+6798,Vince Dunn,Vince,Dunn,8478407
+5768,Chandler Stephenson,Chandler,Stephenson,8476905
+5053,Bryan Rust,Bryan,Rust,8475810
+7535,Robert Thomas,Robert,Thomas,8480023
+7117,Mikhail Sergachev,Mikhail,Sergachev,8479410
+5281,Tyson Barrie,Tyson,Barrie,8475197
+6035,Artturi Lehkonen,Artturi,Lehkonen,8477476
+5983,Seth Jones,Seth,Jones,8477495
+4962,Tyler Seguin,Tyler,Seguin,8475794
+3641,Blake Wheeler,Blake,Wheeler,8471218
+7523,Casey Mittelstadt,Casey,Mittelstadt,8479999
+5364,Jonathan Huberdeau,Jonathan,Huberdeau,8476456
+7910,Noah Dobson,Noah,Dobson,8480865
+6367,Aaron Ekblad,Aaron,Ekblad,8477932
+4976,Vladimir Tarasenko,Vladimir,Tarasenko,8475765
+6015,J.T. Compher,J.T.,Compher,8477456
+6462,Ville Husso,Ville,Husso,8478024
+5010,Justin Faulk,Justin,Faulk,8475753
+5686,Hampus Lindholm,Hampus,Lindholm,8476854
+6386,Nick Schmaltz,Nick,Schmaltz,8477951
+6748,Pavel Zacha,Pavel,Zacha,8478401
+6330,Yanni Gourde,Yanni,Gourde,8476826
+5454,Jordan Binnington,Jordan,Binnington,8476412
+6068,Oliver Bjorkstrand,Oliver,Bjorkstrand,8477416
+4240,Patrick Kane,Patrick,Kane,8474141
+6758,Mathew Barzal,Mathew,Barzal,8478445
+5700,Scott Laughton,Scott,Laughton,8476872
+4961,Taylor Hall,Taylor,Hall,8475791
+6169,Dominik Kubalik,Dominik,Kubalik,8477330
+5421,William Karlsson,William,Karlsson,8476448
+6370,Sam Bennett,Sam,Bennett,8477935
+8033,Akira Schmid,Akira,Schmid,8481033
+6865,Conor Garland,Conor,Garland,8478856
+30221,Luke Hughes,Luke,Hughes,8482684
+7536,Filip Chytil,Filip,Chytil,8480078
+4472,Drew Doughty,Drew,Doughty,8474563
+7903,Barrett Hayton,Barrett,Hayton,8480849
+4474,Alex Pietrangelo,Alex,Pietrangelo,8474565
+6908,Andrew Mangiapane,Andrew,Mangiapane,8478233
+6753,Lawson Crouse,Lawson,Crouse,8478474
+7164,Dillon Dube,Dillon,Dube,8479346
+6385,Tony DeAngelo,Tony,DeAngelo,8477950
+4854,Cam Talbot,Cam,Talbot,8475660
+5441,Blake Coleman,Blake,Coleman,8476399
+5989,Valeri Nichushkin,Valeri,Nichushkin,8477501
+4965,Nino Niederreiter,Nino,Niederreiter,8475799
+5986,Darnell Nurse,Darnell,Nurse,8477498
+6009,Ryan Hartman,Ryan,Hartman,8477451
+8879,Mason McTavish,Mason,McTavish,8482745
+6795,Rasmus Andersson,Rasmus,Andersson,8478397
+6788,Daniel Sprong,Daniel,Sprong,8478466
+5946,Erik Haula,Erik,Haula,8475287
+4792,Tomas Tatar,Tomas,Tatar,8475193
+5800,Andreas Athanasiou,Andreas,Athanasiou,8476960
+8644,Lucas Raymond,Lucas,Raymond,8482078
+4704,Marcus Johansson,Marcus,Johansson,8475149
+6726,Evan Rodrigues,Evan,Rodrigues,8478542
+8155,Logan Thompson,Logan,Thompson,8480313
+30546,Adam Fantilli,Adam,Fantilli,8484166
+6494,Gustav Forsling,Gustav,Forsling,8478055
+5691,Filip Forsberg,Filip,Forsberg,8476887
+4988,Charlie Coyle,Charlie,Coyle,8475745
+5366,Ryan Strome,Ryan,Strome,8476458
+7542,Morgan Frost,Morgan,Frost,8480028
+4974,Jaden Schwartz,Jaden,Schwartz,8475768
+6549,Victor Olofsson,Victor,Olofsson,8478109
+6770,Anthony Beauvillier,Anthony,Beauvillier,8478463
+5785,Josh Anderson,Josh,Anderson,8476981
+7901,Jesperi Kotkaniemi,Jesperi,Kotkaniemi,8480829
+6760,Thomas Chabot,Thomas,Chabot,8478469
+8607,Alexander Barabanov,Alexander,Barabanov,8482222
+6476,Devon Toews,Devon,Toews,8478038
+5708,Brady Skjei,Brady,Skjei,8476869
+8898,Wyatt Johnston,Wyatt,Johnston,8482740
+6402,Ivan Barbashev,Ivan,Barbashev,8477964
+5407,John Gibson,John,Gibson,8476434
+4064,Kris Letang,Kris,Letang,8471724
+3355,Zach Parise,Zach,Parise,8470610
+5769,Shayne Gostisbehere,Shayne,Gostisbehere,8476906
+4972,Cam Fowler,Cam,Fowler,8475764
+8293,Cole Caufield,Cole,Caufield,8481540
+5747,Jordan Martinook,Jordan,Martinook,8476921
+3801,T.J. Oshie,T.J.,Oshie,8471698
+6887,Karel Vejmelka,Karel,Vejmelka,8478872
+7912,Joel Farabee,Joel,Farabee,8480797
+4947,Jacob Markstrom,Jacob,Markstrom,8474593
+4581,Martin Jones,Martin,Jones,8474889
+6585,Conor Sheary,Conor,Sheary,8477839
+8653,Seth Jarvis,Seth,Jarvis,8482093
+7066,Mason Marchment,Mason,Marchment,8478975
+7557,Eetu Luostarinen,Eetu,Luostarinen,8480185
+6337,Pheonix Copley,Pheonix,Copley,8477831
+7224,Ross Colton,Ross,Colton,8479525
+7526,Gabriel Vilardi,Gabriel,Vilardi,8480014
+8310,Shane Pinto,Shane,Pinto,8481596
+5689,Jacob Trouba,Jacob,Trouba,8476885
+8641,Alexis Lafreniere,Alexis,Lafreniere,8482109
+6747,Noah Hanifin,Noah,Hanifin,8478396
+7920,K'Andre Miller,K'Andre,Miller,8480817
+3983,Phil Kessel,Phil,Kessel,8473548
+7161,Filip Hronek,Filip,Hronek,8479425
+5238,Adam Henrique,Adam,Henrique,8474641
+8281,Kirby Dach,Kirby,Dach,8481523
+6767,Jack Roslovic,Jack,Roslovic,8478458
+5382,Stefan Noesen,Stefan,Noesen,8476474
+7166,Taylor Raddysh,Taylor,Raddysh,8479390
+6079,Miles Wood,Miles,Wood,8477425
+5698,Teuvo Teravainen,Teuvo,Teravainen,8476882
+6655,Frederick Gaudreau,Frederick,Gaudreau,8477919
+5967,Antti Raanta,Antti,Raanta,8477293
+6184,MacKenzie Weegar,MacKenzie,Weegar,8477346
+6818,Adin Hill,Adin,Hill,8478499
+7874,Pavel Francouz,Pavel,Francouz,8480925
+4003,Semyon Varlamov,Semyon,Varlamov,8473575
+5039,Radko Gudas,Radko,Gudas,8475462
+5365,Adam Larsson,Adam,Larsson,8476457
+7170,Joseph Woll,Joseph,Woll,8479361
+5529,Laurent Brossoit,Laurent,Brossoit,8476316
+4475,Luke Schenn,Luke,Schenn,8474568
+5057,Scott Wedgewood,Scott,Wedgewood,8475809
+7089,Alex Lyon,Alex,Lyon,8479312
+5462,Jean-Gabriel Pageau,Jean-Gabriel,Pageau,8476419
+5254,Dmitry Orlov,Dmitry,Orlov,8475200
+5232,Jared Spurgeon,Jared,Spurgeon,8474716
+7365,Tanner Jeannot,Tanner,Jeannot,8479661
+6636,Garnet Hathaway,Garnet,Hathaway,8477903
+8489,Dustin Wolf,Dustin,Wolf,8481692
+5685,Morgan Rielly,Morgan,Rielly,8476853
+4642,Alex Stalock,Alex,Stalock,8471774
+8040,Samuel Ersson,Samuel,Ersson,8481035
+3980,Jordan Staal,Jordan,Staal,8473533
+7083,Brandon Tanev,Brandon,Tanev,8479293
+8433,Arturs Silovs,Arturs,Silovs,8481668
+5553,Anton Forsberg,Anton,Forsberg,8476341
+8895,Jesper Wallstedt,Jesper,Wallstedt,8482661
+8337,Hunter Jones,Hunter,Jones,8481545
+30487,Erik Portillo,Erik,Portillo,8481707
+5329,Mattias Ekholm,Mattias,Ekholm,8475218
+7338,Zach Sawchenko,Zach,Sawchenko,8479313
+5022,Calvin Pickard,Calvin,Pickard,8475717
+5434,Adam Lowry,Adam,Lowry,8476392
+8291,Spencer Knight,Spencer,Knight,8481519
+8651,Yaroslav Askarov,Yaroslav,Askarov,8482137
+4849,Jeff Petry,Jeff,Petry,8473507
+5767,Chris Driedger,Chris,Driedger,8476904
+8004,Joel Hofer,Joel,Hofer,8480981
+4779,Marcus Foligno,Marcus,Foligno,8475220
+8722,Nico Daws,Nico,Daws,8482076
+6430,Jonas Johansson,Jonas,Johansson,8477992
+4754,Matt Martin,Matt,Martin,8474709
+7498,Neal Pionk,Neal,Pionk,8480145
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+6811,Keegan Kolesar,Keegan,Kolesar,8478434
+7108,David Rittich,David,Rittich,8479496
+4979,Nick Bjugstad,Nick,Bjugstad,8475760
+7886,Kevin Lankinen,Kevin,Lankinen,8480947
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+6779,Brandon Carlo,Brandon,Carlo,8478443
+7084,Charlie Lindgren,Charlie,Lindgren,8479292
+4684,Evander Kane,Evander,Kane,8475169
+6080,Nicholas Paul,Nicholas,Paul,8477426
+7936,Alexander Romanov,Alexander,Romanov,8481014
+6089,Ryan Graves,Ryan,Graves,8477435
+4969,Mikael Granlund,Mikael,Granlund,8475798
+7429,Casey DeSmith,Casey,DeSmith,8479193
+7493,Alex Iafallo,Alex,Iafallo,8480113
+5734,Anthony Stolarz,Anthony,Stolarz,8476932
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+7545,Eeli Tolvanen,Eeli,Tolvanen,8480009
+4706,Kyle Palmieri,Kyle,Palmieri,8475151
+6037,William Carrier,William,Carrier,8477478
+6797,Yakov Trenin,Yakov,Trenin,8478508
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+7321,Trevor Moore,Trevor,Moore,8479675
+5227,Brayden McNabb,Brayden,McNabb,8475188
+6936,Matt Roy,Matt,Roy,8478911
+5765,Esa Lindell,Esa,Lindell,8476902
+6083,Andrew Copp,Andrew,Copp,8477429
+6838,Nicolas Roy,Nicolas,Roy,8478462
+4971,Jack Campbell,Jack,Campbell,8475789
+5783,Erik Gustafsson,Erik,Gustafsson,8476979
+5251,Brenden Dillon,Brenden,Dillon,8475455
+5703,Michael Matheson,Michael,Matheson,8476875
+5733,Jake McCabe,Jake,McCabe,8476931
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+7961,Jack McBain,Jack,McBain,8480855
+5345,Nicolas Deslauriers,Nicolas,Deslauriers,8475235
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+7927,Rasmus Sandin,Rasmus,Sandin,8480873
+6985,Connor Ingram,Connor,Ingram,8478971
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+5739,Colton Sissons,Colton,Sissons,8476925
+5840,Alexander Kerfoot,Alexander,Kerfoot,8477021
+5810,Jaccob Slavin,Jaccob,Slavin,8476958
+6784,Mackenzie Blackwood,Mackenzie,Blackwood,8478406
+6785,Erik Cernak,Erik,Cernak,8478416
+7618,Mikey Anderson,Mikey,Anderson,8479998
+6290,Barclay Goodrow,Barclay,Goodrow,8476624
+6739,Noel Acciari,Noel,Acciari,8478569
+8249,Blake Lizotte,Blake,Lizotte,8481481
+6388,Kasperi Kapanen,Kasperi,Kapanen,8477953
+8652,Anton Lundell,Anton,Lundell,8482113
+3614,Mark Giordano,Mark,Giordano,8470966
+4773,Casey Cizikas,Casey,Cizikas,8475231
+6002,Andre Burakovsky,Andre,Burakovsky,8477444
+8119,Logan O'Connor,Logan,O'Connor,8481186
+6436,Warren Foegele,Warren,Foegele,8477998
+8871,Arvid Soderblom,Arvid,Soderblom,8482821
+6555,Pierre Engvall,Pierre,Engvall,8478115
+6544,Sammy Blais,Sammy,Blais,8478104
+7950,Sean Durzi,Sean,Durzi,8480434
+7944,Martin Fehervary,Martin,Fehervary,8480796
+6425,Ryan Donato,Ryan,Donato,8477987
+3988,Kyle Okposo,Kyle,Okposo,8473449
+3990,Trevor Lewis,Trevor,Lewis,8473453
+3349,Jeff Carter,Jeff,Carter,8470604
+5749,Damon Severson,Damon,Severson,8476923
+7737,Collin Delia,Collin,Delia,8480420
+7124,Jakob Chychrun,Jakob,Chychrun,8479345
+6814,Anthony Cirelli,Anthony,Cirelli,8478519
+5130,Jesper Fast,Jesper,Fast,8475855
+6834,Will Borgen,Will,Borgen,8478840
+6117,Carson Soucy,Carson,Soucy,8477369
+6038,Tyler Bertuzzi,Tyler,Bertuzzi,8477479
+5085,Philipp Grubauer,Philipp,Grubauer,8475831
+5024,Calle Jarnkrok,Calle,Jarnkrok,8475714
+6046,Brett Pesce,Brett,Pesce,8477488
+7044,Ryan Lomberg,Ryan,Lomberg,8479066
+6406,Alex Nedeljkovic,Alex,Nedeljkovic,8477968
+5375,Jamie Oleksiak,Jamie,Oleksiak,8476467
+7601,Daniil Tarasov,Daniil,Tarasov,8480193
+7532,Timothy Liljegren,Timothy,Liljegren,8480043
+7983,Lukas Dostal,Lukas,Dostal,8480843
+5958,Nick Jensen,Nick,Jensen,8475324
+5696,Tom Wilson,Tom,Wilson,8476880
+7537,Kailer Yamamoto,Kailer,Yamamoto,8479977
+5987,Rasmus Ristolainen,Rasmus,Ristolainen,8477499
+5544,Dylan DeMelo,Dylan,DeMelo,8476331
+6799,Jonas Siegenthaler,Jonas,Siegenthaler,8478399
+5841,Colin Miller,Colin,Miller,8476525
+5388,Vladislav Namestnikov,Vladislav,Namestnikov,8476480
+5411,Brandon Saad,Brandon,Saad,8476438
+7652,Noah Cates,Noah,Cates,8480220
+4252,Lars Eller,Lars,Eller,8474189
+7265,Michael Pezzetta,Michael,Pezzetta,8479543
+8280,Kaapo Kakko,Kaapo,Kakko,8481554
+6350,Nic Dowd,Nic,Dowd,8475343
+7524,Michael Rasmussen,Michael,Rasmussen,8479992
+5027,Justin Holl,Justin,Holl,8475718
+5573,Ondrej Palat,Ondrej,Palat,8476292
+4257,Ian Cole,Ian,Cole,8474013
+7521,Cody Glass,Cody,Glass,8479996
+5757,Jimmy Vesey,Jimmy,Vesey,8476918
+6794,Jeremy Lauzon,Jeremy,Lauzon,8478468
+8311,Arthur Kaliyev,Arthur,Kaliyev,8481560
+5695,Cody Ceci,Cody,Ceci,8476879
+6407,Marcus Pettersson,Marcus,Pettersson,8477969
+7112,Jesse Puljujarvi,Jesse,Puljujarvi,8479344
+4194,Cal Clutterbuck,Cal,Clutterbuck,8473504
+4753,Evgenii Dadonov,Evgenii,Dadonov,8474149
+7120,Michael McLeod,Michael,McLeod,8479415
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+5795,Brett Kulak,Brett,Kulak,8476967
+7155,Samuel Girard,Samuel,Girard,8479398
+4805,Mike Hoffman,Mike,Hoffman,8474884
+5498,Sean Kuraly,Sean,Kuraly,8476374
+4253,Kevin Shattenkirk,Kevin,Shattenkirk,8474031
+5402,Scott Mayfield,Scott,Mayfield,8476429
+8294,Alex Newhook,Alex,Newhook,8481618
+4964,Ryan Johansen,Ryan,Johansen,8475793
+4352,Pat Maroon,Pat,Maroon,8474034
+5632,Torey Krug,Torey,Krug,8476792
+5777,Colton Parayko,Colton,Parayko,8476892
+3987,Derick Brassard,Derick,Brassard,8473544
+4147,Jonathan Quick,Jonathan,Quick,8471734
+3979,Erik Johnson,Erik,Johnson,8473446
+7157,Ryan Lindgren,Ryan,Lindgren,8479324
+7499,David Kampf,David,Kampf,8480144
+5714,Justin Schultz,Justin,Schultz,8474602
+3345,Ryan Suter,Ryan,Suter,8470600
+7546,Klim Kostin,Klim,Kostin,8480011
+6774,Christian Fischer,Christian,Fischer,8478432
+6496,Dakota Joshua,Dakota,Joshua,8478057
+5932,Nate Schmidt,Nate,Schmidt,8477220
+7165,Carl Grundstrom,Carl,Grundstrom,8479336
+7213,Brandon Duhaime,Brandon,Duhaime,8479520
+6576,Jake Middleton,Jake,Middleton,8478136
+7549,Nicolas Hague,Nicolas,Hague,8479980
+8877,Owen Power,Owen,Power,8482671
+5659,Brian Dumoulin,Brian,Dumoulin,8475208
+4306,Milan Lucic,Milan,Lucic,8473473
+6827,Thomas Novak,Thomas,Novak,8478438
+4771,Travis Hamonic,Travis,Hamonic,8474612
+8659,Braden Schneider,Braden,Schneider,8482073
+4186,Ryan Reaves,Ryan,Reaves,8471817
+7911,Ty Dellandrea,Ty,Dellandrea,8480848
+6812,Felix Sandstrom,Felix,Sandstrom,8478433
+3789,Marc Staal,Marc,Staal,8471686
+5104,John Klingberg,John,Klingberg,8475906
+5435,Nick Cousins,Nick,Cousins,8476393
+8069,Yegor Sharangovich,Yegor,Sharangovich,8481068
+5396,Craig Smith,Craig,Smith,8475225
+4978,Austin Watson,Austin,Watson,8475766
+6749,Ivan Provorov,Ivan,Provorov,8478500
+7582,Morgan Geekie,Morgan,Geekie,8479987
+7689,Morgan Barron,Morgan,Barron,8480289
+8645,Jake Sanderson,Jake,Sanderson,8482105
+6481,Sam Lafferty,Sam,Lafferty,8478043
+4369,James Reimer,James,Reimer,8473503
+7569,Ukko-Pekka Luukkonen,Ukko-Pekka,Luukkonen,8480045
+8376,Matias Maccelli,Matias,Maccelli,8481711
+8262,Ilya Mikheyev,Ilya,Mikheyev,8481624
+7928,Joe Veleno,Joe,Veleno,8480813
+5693,Radek Faksa,Radek,Faksa,8476889
+8282,Bowen Byram,Bowen,Byram,8481524
+8245,Nico Sturm,Nico,Sturm,8481477
+4241,James van Riemsdyk,James,van Riemsdyk,8474037
+6792,Jordan Greenway,Jordan,Greenway,8478413
+4251,Ryan McDonagh,Ryan,McDonagh,8474151
+5539,Josh Archibald,Josh,Archibald,8476326
+6451,Jake Walman,Jake,Walman,8478013
+3365,Corey Perry,Corey,Perry,8470621
+6901,Vladislav Gavrikov,Vladislav,Gavrikov,8478882
+5999,Anthony Mantha,Anthony,Mantha,8477511
+7149,Nathan Bastian,Nathan,Bastian,8479414
+6862,Mathieu Joseph,Mathieu,Joseph,8478472
+4786,Ryan O'Reilly,Ryan,O'Reilly,8475158
+6383,Travis Sanheim,Travis,Sanheim,8477948
+7138,Sam Steel,Sam,Steel,8479351
+8935,J.J. Moser,J.J.,Moser,8482655
+5772,Oskar Sundqvist,Oskar,Sundqvist,8476897
+6382,Sonny Milano,Sonny,Milano,8477947
+5694,Zemgus Girgensons,Zemgus,Girgensons,8476878
+6458,Michael Amadio,Michael,Amadio,8478020
+7160,Wade Allison,Wade,Allison,8479322
+7628,Alexey Toropchenko,Alexey,Toropchenko,8480281
+5371,Jonas Brodin,Jonas,Brodin,8476463
+5687,Matt Dumba,Matt,Dumba,8476856
+5279,Gustav Nyquist,Gustav,Nyquist,8474679
+7859,Eric Robinson,Eric,Robinson,8480762
+8648,Jack Quinn,Jack,Quinn,8482097
+6417,Nicolas Aube-Kubel,Nicolas,Aube-Kubel,8477979
+8595,Cole Smith,Cole,Smith,8482062
+6896,John Marino,John,Marino,8478507
+6984,Jalen Chatfield,Jalen,Chatfield,8478970
+7851,Zach Whitecloud,Zach,Whitecloud,8480727
+7193,Josh Mahura,Josh,Mahura,8479372
+8650,Cole Perfetti,Cole,Perfetti,8482149
+7538,Pierre-Olivier Joseph,Pierre-Olivier,Joseph,8480058
+7125,Dante Fabbro,Dante,Fabbro,8479371
+5263,Ben Chiarot,Ben,Chiarot,8475279
+6616,Liam O'Brien,Liam,O'Brien,8477070
+5381,Connor Murphy,Connor,Murphy,8476473
+7829,Pius Suter,Pius,Suter,8480459
+6741,Derek Ryan,Derek,Ryan,8478585
+8012,Paul Cotter,Paul,Cotter,8481032
+6928,Steven Lorentz,Steven,Lorentz,8478904
+6539,Kevin Labanc,Kevin,Labanc,8478099
+4424,Alec Martinez,Alec,Martinez,8474166
+6869,Niko Mikkola,Niko,Mikkola,8478859
+5736,Brock McGinn,Brock,McGinn,8476934
+7930,Mattias Samuelsson,Mattias,Samuelsson,8480807
+7531,Juuso Valimaki,Juuso,Valimaki,8479976
+6754,Denis Gurianov,Denis,Gurianov,8478495
+7909,Oliver Wahlstrom,Oliver,Wahlstrom,8480789
+8614,Artem Zub,Artem,Zub,8482245
+6353,Patrick Brown,Patrick,Brown,8477887
+6008,Jason Dickinson,Jason,Dickinson,8477450
+8881,Kent Johnson,Kent,Johnson,8482660
+4975,Derek Forbort,Derek,Forbort,8475762
+4485,Tyler Myers,Tyler,Myers,8474574
+8295,Peyton Krebs,Peyton,Krebs,8481522
+7684,Nick Perbix,Nick,Perbix,8480246
+6819,Sam Montembeault,Sam,Montembeault,8478470
+4935,Chris Tanev,Chris,Tanev,8475690
+5496,Nick Seeler,Nick,Seeler,8476372
+6366,Tomas Nosek,Tomas,Nosek,8477931
+7990,Connor Dewar,Connor,Dewar,8480980
+5256,Tyler Johnson,Tyler,Johnson,8474870
+6059,Mattias Janmark,Mattias,Janmark,8477406
+6340,Trevor van Riemsdyk,Trevor,van Riemsdyk,8477845
+7135,Brett Howden,Brett,Howden,8479353
+3802,Andrew Cogliano,Andrew,Cogliano,8471699
+8642,Quinton Byfield,Quinton,Byfield,8482124
+4963,Erik Gudbranson,Erik,Gudbranson,8475790
+5542,Travis Boyd,Travis,Boyd,8476329
+4694,Dmitry Kulikov,Dmitry,Kulikov,8475179
+4686,Oliver Ekman-Larsson,Oliver,Ekman-Larsson,8475171
+7654,Sebastian Aho,Sebastian,Aho,8480222
+7938,Ryan McLeod,Ryan,McLeod,8480802
+7384,Zack MacEwen,Zack,MacEwen,8479772
+7578,Fabian Zetterlund,Fabian,Zetterlund,8480188
+5996,Curtis Lazar,Curtis,Lazar,8477508
+7551,Jesper Boqvist,Jesper,Boqvist,8480003
+5343,Jakob Silfverberg,Jakob,Silfverberg,8475164
+6060,Anthony Duclair,Anthony,Duclair,8477407
+7118,Tyson Jost,Tyson,Jost,8479370
+5741,Teddy Blueger,Teddy,Blueger,8476927
+7832,Mark Kastelic,Mark,Kastelic,8480355
+4589,Jake Allen,Jake,Allen,8474596
+9154,Arber Xhekaj,Arber,Xhekaj,8482964
+7828,Parker Kelly,Parker,Kelly,8480448
+6859,Caleb Jones,Caleb,Jones,8478452
+7123,Luke Kunin,Luke,Kunin,8479316
+5525,Josh Manson,Josh,Manson,8476312
+7514,Jan Rutta,Jan,Rutta,8480172
+6387,Robby Fabbri,Robby,Fabbri,8477952
+6400,Brendan Lemieux,Brendan,Lemieux,8477962
+4692,Calvin de Haan,Calvin,de Haan,8475177
+6174,Kyle Burroughs,Kyle,Burroughs,8477335
+7889,Ilya Lyubushkin,Ilya,Lyubushkin,8480950
+8485,Juuso Parssinen,Juuso,Parssinen,8481704
+4696,Nick Leddy,Nick,Leddy,8475181
+6781,A.J. Greer,A.J.,Greer,8478421
+6910,Mason Appleton,Mason,Appleton,8478891
+5702,Olli Maatta,Olli,Maatta,8476874
+7589,Johnathan Kovacevic,Johnathan,Kovacevic,8480192
+7530,Erik Brannstrom,Erik,Brannstrom,8480073
+5415,Matt Nieto,Matt,Nieto,8476442
+6043,Spencer Martin,Spencer,Martin,8477484
+7332,Mathieu Olivier,Mathieu,Olivier,8479671
+7816,Sheldon Dries,Sheldon,Dries,8480326
+5976,Luke Glendening,Luke,Glendening,8476822
+5114,Petr Mrazek,Petr,Mrazek,8475852
+8152,Rafael Harvey-Pinard,Rafael,Harvey-Pinard,8481093
+7142,Andrew Peeke,Andrew,Peeke,8479369
+6857,Alexandre Carrier,Alexandre,Carrier,8478851
+6427,Christian Dvorak,Christian,Dvorak,8477989
+5004,Tyler Pitlick,Tyler,Pitlick,8475752
+8674,JJ Peterka,JJ,Peterka,8482175
+7951,Calen Addison,Calen,Addison,8480884
+8229,Reese Johnson,Reese,Johnson,8481147
+7129,Julien Gauthier,Julien,Gauthier,8479328
+6232,Nathan Walker,Nathan,Walker,8477573
+5120,Brendan Gallagher,Brendan,Gallagher,8475848
+4838,Nick Bonino,Nick,Bonino,8474009
+4266,Brendan Smith,Brendan,Smith,8474090
+3777,Jack Johnson,Jack,Johnson,8471677
+5899,Jaycob Megna,Jaycob,Megna,8477034
+7906,Adam Boqvist,Adam,Boqvist,8480871
+7152,Boris Katchouk,Boris,Katchouk,8479383
+5982,Jonathan Drouin,Jonathan,Drouin,8477494
+7506,Calle Rosen,Calle,Rosen,8480157
+7624,Adam Ruzicka,Adam,Ruzicka,8480008
+7947,Kirill Marchenko,Kirill,Marchenko,8480893
+6097,Hudson Fasching,Hudson,Fasching,8477392
+7931,Jonatan Berggren,Jonatan,Berggren,8481013
+4473,Zach Bogosian,Zach,Bogosian,8474567
+6132,Josh Brown,Josh,Brown,8477384
+6573,Jake Evans,Jake,Evans,8478133
+7926,Nils Lundkvist,Nils,Lundkvist,8480878
+7751,Sean Walker,Sean,Walker,8480336
+7584,MacKenzie Entwistle,MacKenzie,Entwistle,8480025
+7632,Emil Bemstrom,Emil,Bemstrom,8480205
+5864,Matt Benning,Matt,Benning,8476988
+7558,Dylan Samberg,Dylan,Samberg,8480049
+6506,Oskar Lindblom,Oskar,Lindblom,8478067
+7132,Max Jones,Max,Jones,8479368
+6365,Pierre-Edouard Bellemare,Pierre-Edouard,Bellemare,8477930
+7918,Rasmus Kupari,Rasmus,Kupari,8480845
+6379,Jakub Vrana,Jakub,Vrana,8477944
+6477,Kaapo Kahkonen,Kaapo,Kahkonen,8478039
+6021,Robert Hagg,Robert,Hagg,8477462
+7540,Ryan Poehling,Ryan,Poehling,8480068
+7093,Troy Stecher,Troy,Stecher,8479442
+5985,Sean Monahan,Sean,Monahan,8477497
+7544,Henri Jokiharju,Henri,Jokiharju,8480035
+4881,Matt Irwin,Matt,Irwin,8475625
+5950,Chad Ruhwedel,Chad,Ruhwedel,8477244
+4953,David Savard,David,Savard,8475233
+5377,Joel Armia,Joel,Armia,8476469
+3982,Nicklas Backstrom,Nicklas,Backstrom,8473563
+4287,Alex Goligoski,Alex,Goligoski,8471274
+8288,Vasily Podkolzin,Vasily,Podkolzin,8481617
+8292,Cam York,Cam,York,8481546
+4758,Robert Bortuzzo,Robert,Bortuzzo,8474145
+7529,Cal Foote,Cal,Foote,8479984
+7969,Jordan Harris,Jordan,Harris,8480887
+7564,Mario Ferraro,Mario,Ferraro,8479983
+5011,Jon Merrill,Jon,Merrill,8475750
+6750,Zach Werenski,Zach,Werenski,8478460
+7534,Josh Norris,Josh,Norris,8480064
+7168,Dylan Gambrell,Dylan,Gambrell,8479580
+8369,Aliaksei Protas,Aliaksei,Protas,8481656
+5117,Sam Carrick,Sam,Carrick,8475842
+6409,Andreas Englund,Andreas,Englund,8477971
+5727,Phillip Di Giuseppe,Phillip,Di Giuseppe,8476858
+5904,Kurtis MacDermid,Kurtis,MacDermid,8477073
+7098,Nikita Zaitsev,Nikita,Zaitsev,8479458
+7252,Axel Jonsson-Fjallby,Axel,Jonsson-Fjallby,8479536
+8654,Dylan Holloway,Dylan,Holloway,8482077
+6445,Elvis Merzlikins,Elvis,Merzlikins,8478007
+5837,Ben Hutton,Ben,Hutton,8477018
+5414,Joel Edmundson,Joel,Edmundson,8476441
+7141,Rasmus Asplund,Rasmus,Asplund,8479335
+3829,Marc-Edouard Vlasic,Marc-Edouard,Vlasic,8471709
+8665,Justin Barron,Justin,Barron,8482111
+7904,Filip Zadina,Filip,Zadina,8480821
+7220,Riley Stillman,Riley,Stillman,8479388
+7921,Isac Lundestrom,Isac,Lundestrom,8480806
+5559,Colin Blackwell,Colin,Blackwell,8476278
+4261,Max Pacioretty,Max,Pacioretty,8474157
+8865,Walker Duehr,Walker,Duehr,8482652
+4982,Jarred Tinordi,Jarred,Tinordi,8475797
+7869,Karson Kuhlman,Karson,Kuhlman,8480901
+7154,Givani Smith,Givani,Smith,8479379
+6800,Kevin Stenlund,Kevin,Stenlund,8478831
+5710,Tanner Pearson,Tanner,Pearson,8476871
+9243,Nick Blankenburg,Nick,Blankenburg,8483565
+8656,Kaiden Guhle,Kaiden,Guhle,8482087
+8318,Nils Hoglander,Nils,Hoglander,8481535
+8885,Dylan Guenther,Dylan,Guenther,8482699
+7773,Jacob MacDonald,Jacob,MacDonald,8479439
+7556,Jaret Anderson-Dolan,Jaret,Anderson-Dolan,8479994
+4633,Marco Scandella,Marco,Scandella,8474618
+7940,Jack Drury,Jack,Drury,8480835
+7824,Alex Belzile,Alex,Belzile,8475968
+6346,Jordan Oesterle,Jordan,Oesterle,8477851
+7288,Vincent Desharnais,Vincent,Desharnais,8479576
+7126,Logan Stanley,Logan,Stanley,8479378
+5859,Vinnie Hinostroza,Vinnie,Hinostroza,8476994
+7907,Vitali Kravtsov,Vitali,Kravtsov,8480833
+7184,Rem Pitlick,Rem,Pitlick,8479514
+6087,Ben Harpur,Ben,Harpur,8477433
+6974,Lane Pederson,Lane,Pederson,8478967
+7568,Jack Studnicka,Jack,Studnicka,8480021
+5282,Cam Atkinson,Cam,Atkinson,8474715
+5638,Chris Wideman,Chris,Wideman,8475227
+8286,Philip Broberg,Philip,Broberg,8481598
+5464,Mike Reilly,Mike,Reilly,8476422
+8806,Nils Aman,Nils,Aman,8482496
+7508,Radim Simek,Radim,Simek,8480160
+7121,Jake Bean,Jake,Bean,8479402
+7547,Conor Timmins,Conor,Timmins,8479982
+8598,Connor Mackey,Connor,Mackey,8482067
+7171,Markus Niemelainen,Markus,Niemelainen,8479338
+8666,Jake Neighbours,Jake,Neighbours,8482089
+6180,Andreas Johnsson,Andreas,Johnsson,8477341
+8056,Tim Berni,Tim,Berni,8481072
+9269,Juraj Slafkovsky,Juraj,Slafkovsky,8483515
+7958,David Gustafsson,David,Gustafsson,8481019
+7916,Liam Foudy,Liam,Foudy,8480853
+5744,Chris Tierney,Chris,Tierney,8476919
+8304,Jakob Pelletier,Jakob,Pelletier,8481592
+6833,Dennis Gilbert,Dennis,Gilbert,8478502
+6466,Fredrik Olofsson,Fredrik,Olofsson,8478028
+7647,Jacob Peterson,Jacob,Peterson,8480216
+8646,Jamie Drysdale,Jamie,Drysdale,8482142
+6955,Joel Hanley,Joel,Hanley,8477810
+4819,Jake Muzzin,Jake,Muzzin,8474162
+8335,Samuel Bolduc,Samuel,Bolduc,8481541
+8331,Nicholas Robertson,Nicholas,Robertson,8481582
+7119,Logan Brown,Logan,Brown,8479366
+5846,Connor Brown,Connor,Brown,8477015
+7194,Casey Fitzgerald,Casey,Fitzgerald,8479578
+8334,Brett Leason,Brett,Leason,8481517
+7929,Alexander Alexeyev,Alexander,Alexeyev,8480823
+8868,Justin Danforth,Justin,Danforth,8479941
+8301,Simon Holmstrom,Simon,Holmstrom,8481601
+7320,Michael Carcone,Michael,Carcone,8479619
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+6755,Jakub Zboril,Jakub,Zboril,8478415
+6283,Ross Johnston,Ross,Johnston,8477527
+7159,Kale Clague,Kale,Clague,8479348
+7445,Matt Luff,Matt,Luff,8479644
+6373,Haydn Fleury,Haydn,Fleury,8477938
+6805,Kyle Capobianco,Kyle,Capobianco,8478476
+7553,Gustav Lindstrom,Gustav,Lindstrom,8480184
+7695,Cole Guttman,Cole,Guttman,8480252
+8199,Brayden Pachal,Brayden,Pachal,8481167
+8863,Matt Kiersted,Matt,Kiersted,8482641
+9246,Ben Meyers,Ben,Meyers,8483570
+8097,Tyler Tucker,Tyler,Tucker,8481006
+8300,Tobias Bjornfot,Tobias,Bjornfot,8481600
+5902,Jayson Megna,Jayson,Megna,8477126
+7274,Tanner Laczynski,Tanner,Laczynski,8479550
+8296,Thomas Harley,Thomas,Harley,8481581
+6643,Darren Raddysh,Darren,Raddysh,8478178
+7572,Ian Mitchell,Ian,Mitchell,8480070
+7614,Jacob Bryson,Jacob,Bryson,8480196
+6776,Travis Dermott,Travis,Dermott,8478408
+5369,Sean Couturier,Sean,Couturier,8476461
+8373,Jordan Spence,Jordan,Spence,8481606
+6839,Colton White,Colton,White,8478841
+7374,Jeffrey Viel,Jeffrey,Viel,8479705
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+6107,Tucker Poolman,Tucker,Poolman,8477359
+8647,Alexander Holtz,Alexander,Holtz,8482125
+7116,Alex Nylander,Alex,Nylander,8479423
+4834,Zac Dalpe,Zac,Dalpe,8474610
+7217,Lucas Carlsson,Lucas,Carlsson,8479523
+8305,Nolan Foote,Nolan,Foote,8481518
+7207,Victor Mete,Victor,Mete,8479376
+6808,Guillaume Brisebois,Guillaume,Brisebois,8478465
+8131,Egor Zamula,Egor,Zamula,8481178
+30150,Akito Hirose,Akito,Hirose,8484254
+9272,Shane Wright,Shane,Wright,8483524
+30124,Tyler Kleven,Tyler,Kleven,8482095
+8884,Brandt Clarke,Brandt,Clarke,8482730
+30000,Nikita Nesterenko,Nikita,Nesterenko,8481754
+30115,Hunter McKown,Hunter,McKown,8484125
+7100,Drake Caggiula,Drake,Caggiula,8479465
+7219,Jacob Moverare,Jacob,Moverare,8479421
+7943,Scott Perunovich,Scott,Perunovich,8481059
+30104,Wyatt Kaiser,Wyatt,Kaiser,8482176
+30173,Cole McWard,Cole,McWard,8484287
+30227,Matthew Knies,Matthew,Knies,8482720
+7533,Urho Vaakanainen,Urho,Vaakanainen,8480001
+4691,Ryan Ellis,Ryan,Ellis,8475176
+8378,Matej Blumel,Matej,Blumel,8481712
+7522,Lias Andersson,Lias,Andersson,8480072
+5758,Mackenzie MacEachern,Mackenzie,MacEachern,8476907
+30106,Aidan McDonough,Aidan,McDonough,8481683
+7133,Riley Tufte,Riley,Tufte,8479362
+30145,Matt Coronato,Matt,Coronato,8482679
+30128,Henry Thrun,Henry,Thrun,8481567
+30075,Brock Faber,Brock,Faber,8482122
+30129,Sean Farrell,Sean,Farrell,8482081
+9276,Marco Kasper,Marco,Kasper,8483464
+8713,Jean-Luc Foudy,Jean-Luc,Foudy,8482147
+8882,Simon Edvinsson,Simon,Edvinsson,8482762
+7222,Rhett Gardner,Rhett,Gardner,8479587
+7750,Philippe Maillet,Philippe,Maillet,8477544
+8347,John Ludvig,John,Ludvig,8481206
+30139,Alex Laferriere,Alex,Laferriere,8482155
+7973,Oskar Back,Oskar,Back,8480840
+8333,Dillon Hamaliuk,Dillon,Hamaliuk,8481549
+8306,Ryan Suzuki,Ryan,Suzuki,8481576
+9270,Simon Nemec,Simon,Nemec,8483495
+9233,Brian Halonen,Brian,Halonen,8483531
+6863,Ryan Shea,Ryan,Shea,8478854
+8322,Jamieson Rees,Jamieson,Rees,8481579
+30251,Mike Benning,Mike,Benning,8482107
+8917,Francesco Pinelli,Francesco,Pinelli,8482748
+8465,Andre Lee,Andre,Lee,8481732
+9004,Topias Vilen,Topias,Vilen,8482873
+8934,Samuel Helenius,Samuel,Helenius,8482726
+5009,Alexander Petrovic,Alexander,Petrovic,8475755
+30832,Logan Cooley,Logan,Cooley,8483431
+8374,Tyce Thompson,Tyce,Thompson,8481740
+30154,Jackson LaCombe,Jackson,LaCombe,8481605
+8494,Nikolai Knyzhov,Nikolai,Knyzhov,8481812
+8649,Marco Rossi,Marco,Rossi,8482079
+8657,Lukas Reichel,Lukas,Reichel,8482117
+5993,Alex Wennberg,Alex,Wennberg,8477505
+6517,Rourke Chartier,Rourke,Chartier,8478078
+6789,Jansen Harkins,Jansen,Harkins,8478424
+6768,Noah Juulsen,Noah,Juulsen,8478454
+7933,Jesse Ylonen,Jesse,Yl�nen,8481058
+8302,Philip Tomasino,Philip,Tomasino,8481577
+8668,Ridly Greig,Ridly,Greig,8482092
+8682,Luke Evangelista,Luke,Evangelista,8482146
+9275,Kevin Korchinski,Kevin,Korchinski,8483466
+9322,Matthew Poitras,Matthew,Poitras,8483505