16.05.2021 - 13:00
Stadium : ABSA Tuks Stadium
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Polokwane City | 30 | 11 | 37% |
2 | Ajax Cape Town | 30 | 15 | 50% |
3 | Free State Stars | 30 | 17 | 57% |
4 | Jomo Cosmos | 30 | 12 | 40% |
5 | University of Pretoria | 30 | 12 | 40% |
6 | Cape Umoya United | 30 | 11 | 37% |
7 | TS Sporting | 30 | 14 | 47% |
8 | Steenberg United | 30 | 18 | 60% |
9 | Richards Bay | 30 | 16 | 53% |
10 | JDR Stars | 30 | 18 | 60% |
11 | Real Kings | 30 | 15 | 50% |
12 | Uthongathi | 30 | 16 | 53% |
13 | Cape Town All Stars | 30 | 14 | 47% |
14 | Sekhukhune United | 30 | 12 | 40% |
15 | Bizana Pondo Chiefs | 30 | 12 | 40% |
16 | Pretoria Callies | 30 | 9 | 30% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Polokwane City | 15 | 4 | 27% |
2 | Ajax Cape Town | 15 | 12 | 80% |
3 | Free State Stars | 15 | 11 | 73% |
4 | Jomo Cosmos | 15 | 7 | 47% |
5 | University of Pretoria | 15 | 4 | 27% |
6 | Cape Umoya United | 15 | 3 | 20% |
7 | TS Sporting | 15 | 6 | 40% |
8 | Steenberg United | 15 | 9 | 60% |
9 | Richards Bay | 15 | 8 | 53% |
10 | JDR Stars | 15 | 9 | 60% |
11 | Real Kings | 15 | 7 | 47% |
12 | Uthongathi | 15 | 9 | 60% |
13 | Cape Town All Stars | 15 | 6 | 40% |
14 | Sekhukhune United | 15 | 4 | 27% |
15 | Bizana Pondo Chiefs | 15 | 7 | 47% |
16 | Pretoria Callies | 15 | 5 | 33% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Polokwane City | 15 | 7 | 47% |
2 | Ajax Cape Town | 15 | 3 | 20% |
3 | Free State Stars | 15 | 6 | 40% |
4 | Jomo Cosmos | 15 | 5 | 33% |
5 | University of Pretoria | 15 | 8 | 53% |
6 | Cape Umoya United | 15 | 8 | 53% |
7 | TS Sporting | 15 | 8 | 53% |
8 | Steenberg United | 15 | 9 | 60% |
9 | Richards Bay | 15 | 8 | 53% |
10 | JDR Stars | 15 | 9 | 60% |
11 | Real Kings | 15 | 8 | 53% |
12 | Uthongathi | 15 | 7 | 47% |
13 | Cape Town All Stars | 15 | 8 | 53% |
14 | Sekhukhune United | 15 | 8 | 53% |
15 | Bizana Pondo Chiefs | 15 | 5 | 33% |
16 | Pretoria Callies | 15 | 4 | 27% |
This section shows the statistics on how many times University of Pretoria and Real Kings have both scored and conceded in the same match in the National First Division.
The “Both Teams to Score” stat is a good data point to use for seeing whether or not a match will feature many (or any) goals. If both teams have a high rate of both scoring and conceding goals, then there is a good chance that a couple of goals will go in. But if one or both teams have low BTTS rates, then their match could be a lower-scoring affair.
Check out the BTTS (both teams to score) stats for the match:
It’s important to consider BTTS statistics when analysing teams as they provide insight into the teams’ overall approach and performance in matches. Teams with a high percentage of both teams scoring usually have more attacking approaches, whilst a lower rate of both teams scoring could point to a slightly more conservative gameplan for the most part.
And of course, this information should prove quite valuable when picking bets on the “Both Teams to Score” market and other goal-related markets
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