
Foodhub
5
W
1
L
0
D
PPG
65.2
RPG
42.7
APG
12.7

Foodhub
5
W
1
L
0
D
PPG
65.2
RPG
42.7
APG
12.7
Shot mix
Distribution by shot type
Legend
2 pt
3 pt
FT
Heatmap
Accuracy by shot region
















Accuracy scale
Less
More
Shot mix
Accuracy by shot type
- 2 pt41.7%Shots count: 121/290
- 3 pt22.8%Shots count: 33/145
- FT50.0%Shots count: 50/100

24
Kelvan Ho Jian Wei
69PTS
31REB
10AST
97
Toh Wee Keong
60PTS
30REB
9AST

28
Myron Lim Jun Liang
58PTS
44REB
7AST

1
Toh Hongda Gerald
41PTS
16REB
7AST

15
Kee Wen Jian Allister
39PTS
13REB
3AST

22
Jasper Ong Chia Jin
25PTS
18REB
6AST

61
Timothy Choo Jun Hong
25PTS
12REB
6AST

9
Gary Chan Mun Chong
24PTS
29REB
5AST

30
Mah Jian Ming Mervin
16PTS
9REB
0AST

3
Maurice Wee Tian Ler
14PTS
10REB
6AST
14
Gary Yeo Jun Yuan
10PTS
9REB
9AST
19
Neo Jin Ming Edwin
7PTS
15REB
3AST

35
Benjamin Tan Zhi Yong
3PTS
11REB
1AST
4
Andy ong Yeow Teck
0PTS
6REB
3AST
11
Leow Teng Da
0PTS
3REB
1AST
Shot mix
Distribution by shot type
Legend
2 pt
3 pt
FT
Heatmap
Accuracy by shot region
















Accuracy scale
Less
More
Shot mix
Accuracy by shot type
- 2 pt41.7%Shots count: 121/290
- 3 pt22.8%Shots count: 33/145
- FT50.0%Shots count: 50/100

24
Kelvan Ho Jian Wei
69PTS
31REB
10AST
97
Toh Wee Keong
60PTS
30REB
9AST

28
Myron Lim Jun Liang
58PTS
44REB
7AST

1
Toh Hongda Gerald
41PTS
16REB
7AST

15
Kee Wen Jian Allister
39PTS
13REB
3AST

22
Jasper Ong Chia Jin
25PTS
18REB
6AST

61
Timothy Choo Jun Hong
25PTS
12REB
6AST

9
Gary Chan Mun Chong
24PTS
29REB
5AST

30
Mah Jian Ming Mervin
16PTS
9REB
0AST

3
Maurice Wee Tian Ler
14PTS
10REB
6AST
14
Gary Yeo Jun Yuan
10PTS
9REB
9AST
19
Neo Jin Ming Edwin
7PTS
15REB
3AST

35
Benjamin Tan Zhi Yong
3PTS
11REB
1AST
4
Andy ong Yeow Teck
0PTS
6REB
3AST
11
Leow Teng Da
0PTS
3REB
1AST
Team
Match results
All stats
Match | Date↓ | Score | PTS | 1PT | 2PT | 3PT | FT | REB | AST | TO |
|---|---|---|---|---|---|---|---|---|---|---|
![]() ![]() | Oct 14 | 0 | 0-0 (0%) | 0-0 (0%) | 0-0 (0%) | 0-0 (0%) | 0 | 0 | 0 | |
![]() ![]() | Sep 30 | 58-52 | 58 | 0-0 (0%) | 22-51 (43%) | 2-24 (8%) | 8-17 (47%) | 48 | 11 | 12 |
![]() | Sep 16 | 65-67 | 67 | 0-0 (0%) | 25-56 (45%) | 4-18 (22%) | 5-11 (45%) | 42 | 12 | 11 |
![]() ![]() | Sep 09 | 84-63 | 84 | 0-0 (0%) | 23-49 (47%) | 10-31 (32%) | 8-13 (62%) | 48 | 13 | 15 |
![]() ![]() | Aug 26 | 50-56 | 56 | 0-0 (0%) | 13-39 (33%) | 5-18 (28%) | 15-26 (58%) | 36 | 13 | 17 |
![]() ![]() | Aug 12 | 54-59 | 59 | 0-0 (0%) | 19-51 (37%) | 5-25 (20%) | 6-17 (35%) | 46 | 13 | 10 |
![]() ![]() | Jul 29 | 67-82 | 67 | 0-0 (0%) | 19-44 (43%) | 7-29 (24%) | 8-16 (50%) | 36 | 14 | 13 |






