09.04.2022 - 16:30
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Béziers | 30 | 17 | 57% |
2 | Les Herbiers | 30 | 16 | 53% |
3 | Colomiers US | 30 | 15 | 50% |
4 | Trélissac | 30 | 12 | 40% |
5 | Bergerac | 30 | 10 | 33% |
6 | Le Puy F.43 Auvergne | 30 | 9 | 30% |
7 | Yzeure | 30 | 14 | 47% |
8 | Stade Montois | 30 | 16 | 53% |
9 | Andrézieux | 30 | 14 | 47% |
10 | Nantes II | 30 | 16 | 53% |
11 | Montpellier II | 30 | 16 | 53% |
12 | Canet Roussillon | 30 | 13 | 43% |
13 | Chamalières | 30 | 16 | 53% |
14 | Angoulême | 30 | 10 | 33% |
15 | Angers SCO II | 30 | 10 | 33% |
16 | Bourges Foot 18 | 30 | 16 | 53% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Béziers | 15 | 12 | 80% |
2 | Les Herbiers | 15 | 7 | 47% |
3 | Colomiers US | 15 | 9 | 60% |
4 | Trélissac | 15 | 5 | 33% |
5 | Bergerac | 15 | 5 | 33% |
6 | Le Puy F.43 Auvergne | 15 | 4 | 27% |
7 | Yzeure | 15 | 8 | 53% |
8 | Stade Montois | 15 | 8 | 53% |
9 | Andrézieux | 15 | 8 | 53% |
10 | Nantes II | 15 | 8 | 53% |
11 | Montpellier II | 15 | 7 | 47% |
12 | Canet Roussillon | 15 | 5 | 33% |
13 | Chamalières | 15 | 8 | 53% |
14 | Angoulême | 15 | 4 | 27% |
15 | Angers SCO II | 15 | 4 | 27% |
16 | Bourges Foot 18 | 15 | 8 | 53% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Béziers | 15 | 5 | 33% |
2 | Les Herbiers | 15 | 9 | 60% |
3 | Colomiers US | 15 | 6 | 40% |
4 | Trélissac | 15 | 7 | 47% |
5 | Bergerac | 15 | 5 | 33% |
6 | Le Puy F.43 Auvergne | 15 | 5 | 33% |
7 | Yzeure | 15 | 6 | 40% |
8 | Stade Montois | 15 | 8 | 53% |
9 | Andrézieux | 15 | 6 | 40% |
10 | Nantes II | 15 | 8 | 53% |
11 | Montpellier II | 15 | 9 | 60% |
12 | Canet Roussillon | 15 | 8 | 53% |
13 | Chamalières | 15 | 8 | 53% |
14 | Angoulême | 15 | 6 | 40% |
15 | Angers SCO II | 15 | 6 | 40% |
16 | Bourges Foot 18 | 15 | 8 | 53% |
This section shows the statistics on how many times Stade Montois and Les Herbiers have both scored and conceded in the same match in the National 2 Group D.
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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