| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Fleury 91 Women |
22 | 9 | 41% |
| 2 |
Montpellier Women |
22 | 11 | 50% |
| 3 |
Paris Women |
23 | 7 | 30% |
| 4 |
Olympique Lyonnais Women |
24 | 6 | 25% |
| 5 |
PSG Women |
24 | 9 | 38% |
| 6 |
Guingamp Women |
22 | 8 | 36% |
| 7 |
Saint-Étienne Women |
22 | 7 | 32% |
| 8 |
Dijon Women |
23 | 7 | 30% |
| 9 |
Stade de Reims W |
22 | 12 | 55% |
| 10 |
Le Havre Women |
22 | 10 | 45% |
| 11 |
Strasbourg Women |
22 | 12 | 55% |
| 12 |
Nantes Women |
22 | 8 | 36% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Fleury 91 Women |
11 | 6 | 55% |
| 2 |
Montpellier Women |
11 | 3 | 27% |
| 3 |
Paris Women |
11 | 4 | 36% |
| 4 |
Olympique Lyonnais Women |
13 | 4 | 31% |
| 5 |
PSG Women |
12 | 3 | 25% |
| 6 |
Guingamp Women |
11 | 5 | 45% |
| 7 |
Saint-Étienne Women |
11 | 4 | 36% |
| 8 |
Dijon Women |
11 | 4 | 36% |
| 9 |
Stade de Reims W |
11 | 5 | 45% |
| 10 |
Le Havre Women |
11 | 4 | 36% |
| 11 |
Strasbourg Women |
11 | 7 | 64% |
| 12 |
Nantes Women |
11 | 4 | 36% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Fleury 91 Women |
11 | 3 | 27% |
| 2 |
Montpellier Women |
11 | 8 | 73% |
| 3 |
Paris Women |
12 | 3 | 25% |
| 4 |
Olympique Lyonnais Women |
11 | 2 | 18% |
| 5 |
PSG Women |
12 | 6 | 50% |
| 6 |
Guingamp Women |
11 | 3 | 27% |
| 7 |
Saint-Étienne Women |
11 | 3 | 27% |
| 8 |
Dijon Women |
12 | 3 | 25% |
| 9 |
Stade de Reims W |
11 | 7 | 64% |
| 10 |
Le Havre Women |
11 | 6 | 55% |
| 11 |
Strasbourg Women |
11 | 5 | 45% |
| 12 |
Nantes Women |
11 | 4 | 36% |
This section shows the statistics on how many times Paris Women and Stade de Reims W have both scored and conceded in the same match in the Feminine Division 1.
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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