Sports Nerd: Spatial Analysis and Visualization of Philippine Basketball
Channel: BNHR
Date: 2021-06-19

The presentation part of my proposal defense for my MS GmE thesis entitled "Towards a Spatial Analysis of Shooting in Philippine Basketball: Applications in the UAAP MBT (Season 81)" where I seek to utilize spatial concepts to characterize, analyze, and visualize field goals in the University Athletics Association of the Philippines Men's Basketball Tournament with applications in Season 81 of the said tournament.

P.S. If you're a fellow student looking to study sports analytics—especially spatial analytics and visualization in sports—feel free to contact me if you want to collaborate. :D

CHAPTERS
Introduction - 00:00:00
Outline - 00:00:47
The why - 00:01:23
1. Basketball is spatial - 00:01:44
2. Players shoot differently at different locations on the court - 00:02:21
3. Conventional statistics used in the Philippines fail to account for the spatial nature of shooting - 00:03:55
3.1 Who the best shooter among 3 players? - 00:05:20
3.2 How about comparing similar players? - 00:08:55
4. The current methods used in the country are limited and arbitrary - 00:10:25
5. Filipinos love basketball - 00:11:36
The what - 00:12:40The research - 00:12:58
The research problems - 00:14:07
The research objectives - 00:15:03
Related Literature - 00:16:25
1. CourtVisionPH (Pintor and Cataniag, 2014) - 00:16:36
2. Spatial characterization of field goals - 00:18:31
2.1 Clustering and decomposition - 00:18:46
2.2 Non-negative matrix factorization (NMF) - 00:19:54
2.2.1 Advantages of NMF - 00:20:49
2.2.2 NMF as applied in basketball - 00:22:34
2.3 Factorized Point Process Intensities... (Miller et al., 2014) - 00:25:20
2.4 Characterizing the spatial structure of defensive skill... (Franks et al., 2015) - 00:28:15
2.5 A Bayesian Marked Spatial Point Processes... (Jiao et al., 2020) - 00:29:24
3 Spatial metrics of shooting - 00:30:50
3.1 CourtVision: New Visual and Spatial Analytics for the NBA (Goldsberry, 2012) - 00:31:42
3.2 Creating space to shoot... (Shortridge et al, 2014) - 00:34:04
3.3 Measuring Spatial Allocative Efficiency in Basketball (Sandholtz et al., 2019) - 00:36:34
Proposed Methodology - 00:38:41
Scope and delimitation - 00:38:54
The data - 00:40:13
Spatial characterization of shooting using NMF - 00:43:35
Groupings similar players - 00:45:57
Better estimation of scoring using Empirical Bayes - 00:46:35
EB estimate of Points Per Attempt (PPA) - 00:46:53
Expected Points and Local Shooting Metrics - 00:49:39
Spatial Shooting Effectiveness (SSE) - 00:50:53
Points Relative to League Average (PRLA) - 00:54:06
Zonal SSE and PRLA - 00:55:35
The novelty of the methodology - 00:56:24
Expected outputs - 00:59:42
Data - 01:00:24
Preliminary output - 01:00:32
Next steps - 01:01:04
Thank you! - 01:03:00