Table:
Appearances and goals by club, season and competition

Club

Season

League

DFB-Pokal

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Hansa Rostock

2012–13

3. Liga

8
0
0
0
—
8
0

Neustrelitz

2013–14

Regionalliga Nordost

9
1
0
0
2[a]
0
11
1

2014–15

25
5
—
—
25
5

2015–16

19
7
—
—
19
7

Total

53
13
0
0
2
0
55
13

Steinbach

2015–16

Regionalliga Südwest

14
2
—
—
14
2

2016–17

33
16
—
—
33
16

Total

47
18
0
0
0
0
47
18

Jahn Regensburg

2017–18

2. Bundesliga

33
5
2
0
—
35
5

2018–19

22
9
1
0
—
23
9

Total

55
14
3
0
—
58
14

Career total

163
45
3
0
2
0
168
45

To complete your task, analyze the table image and identify the positions of the specified cells. Ensure that you represent a cell's location using the JSON format {'value': '<cell value>', 'location': (row number, column number)}, with both row and column number starting from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.
Target cells:
CELL VALUE 1: 'Jim Mason',
CELL VALUE 2: 'Title',
CELL VALUE 3: '2012-13',
CELL VALUE 4: '66',

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': 'Jim Mason', 'location': 'DOES NOT EXIST'}
CELL LOCATION 2: {'value': 'Title', 'location': 'DOES NOT EXIST'}
CELL LOCATION 3: {'value': '2012-13', 'location': (3, 2)}
CELL LOCATION 4: {'value': '66', 'location': (13, 10)}