Season
2022
Country
Australia
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Sydney Olympic | 24 | 13 | 54% |
2 | Sydney United | 22 | 12 | 55% |
3 | Rockdale City Suns | 22 | 16 | 73% |
4 | Wollongong Wolves | 22 | 14 | 64% |
5 | Blacktown City | 26 | 15 | 58% |
6 | APIA Leichhardt Tigers | 24 | 12 | 50% |
7 | Marconi Stallions | 23 | 16 | 70% |
8 | Sutherland Sharks | 22 | 13 | 59% |
9 | Manly United | 25 | 12 | 48% |
10 | North Shore Mariners | 22 | 14 | 64% |
11 | Mt Druitt Town | 22 | 16 | 73% |
12 | Sydney II | 22 | 17 | 77% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Sydney Olympic | 13 | 6 | 46% |
2 | Sydney United | 11 | 4 | 36% |
3 | Rockdale City Suns | 11 | 9 | 82% |
4 | Wollongong Wolves | 11 | 9 | 82% |
5 | Blacktown City | 12 | 7 | 58% |
6 | APIA Leichhardt Tigers | 11 | 3 | 27% |
7 | Marconi Stallions | 12 | 10 | 83% |
8 | Sutherland Sharks | 11 | 5 | 45% |
9 | Manly United | 13 | 5 | 38% |
10 | North Shore Mariners | 11 | 8 | 73% |
11 | Mt Druitt Town | 11 | 11 | 100% |
12 | Sydney II | 11 | 8 | 73% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Sydney Olympic | 11 | 7 | 64% |
2 | Sydney United | 11 | 8 | 73% |
3 | Rockdale City Suns | 11 | 7 | 64% |
4 | Wollongong Wolves | 11 | 5 | 45% |
5 | Blacktown City | 14 | 8 | 57% |
6 | APIA Leichhardt Tigers | 13 | 9 | 69% |
7 | Marconi Stallions | 11 | 6 | 55% |
8 | Sutherland Sharks | 11 | 8 | 73% |
9 | Manly United | 12 | 7 | 58% |
10 | North Shore Mariners | 11 | 6 | 55% |
11 | Mt Druitt Town | 11 | 5 | 45% |
12 | Sydney II | 11 | 9 | 82% |
The both teams scoring stat is the number of times a team has both scored and conceded a goal in a match. This stat is helpful in determining whether a match has the potential to be a high-scoring affair.
And in North Shore Mariners’s case, their BTTS statistics in the New South Wales NPL 2022 provide some interesting insights about their offence and defence. Here are the relevant BTTS stats on North Shore Mariners in the competition:
You can also see North Shore Mariners’s BTTS stats filtered in terms of where they play, whether it’s at home or away, as well as overall, for a more comprehensive view of the stat all season long.
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