20.01.2024 - 17:00
Stadium : Stade des Marais
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Boulogne | 25 | 14 | 56% |
2 | Chambly | 25 | 12 | 48% |
3 | Stade Briochin | 25 | 11 | 44% |
4 | Bastia-Borgo | 25 | 14 | 56% |
5 | Granville | 25 | 15 | 60% |
6 | Lorient II | 25 | 17 | 68% |
7 | Saint-Malo | 25 | 11 | 44% |
8 | Beauvais | 25 | 12 | 48% |
9 | Chateaubriant Voltigeurs | 25 | 16 | 64% |
10 | Aubervilliers | 25 | 12 | 48% |
11 | Racing Colombes 92 | 25 | 11 | 44% |
12 | AF Virois | 25 | 16 | 64% |
13 | Dinan Léhon | 25 | 18 | 72% |
14 | Guingamp II | 25 | 13 | 52% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Boulogne | 12 | 6 | 50% |
2 | Chambly | 13 | 9 | 69% |
3 | Stade Briochin | 13 | 5 | 38% |
4 | Bastia-Borgo | 12 | 8 | 67% |
5 | Granville | 12 | 8 | 67% |
6 | Lorient II | 13 | 8 | 62% |
7 | Saint-Malo | 13 | 8 | 62% |
8 | Beauvais | 12 | 4 | 33% |
9 | Chateaubriant Voltigeurs | 12 | 8 | 67% |
10 | Aubervilliers | 13 | 9 | 69% |
11 | Racing Colombes 92 | 13 | 4 | 31% |
12 | AF Virois | 13 | 6 | 46% |
13 | Dinan Léhon | 12 | 8 | 67% |
14 | Guingamp II | 12 | 5 | 42% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Boulogne | 13 | 8 | 62% |
2 | Chambly | 12 | 3 | 25% |
3 | Stade Briochin | 12 | 6 | 50% |
4 | Bastia-Borgo | 13 | 6 | 46% |
5 | Granville | 13 | 7 | 54% |
6 | Lorient II | 12 | 9 | 75% |
7 | Saint-Malo | 12 | 3 | 25% |
8 | Beauvais | 13 | 8 | 62% |
9 | Chateaubriant Voltigeurs | 13 | 8 | 62% |
10 | Aubervilliers | 12 | 3 | 25% |
11 | Racing Colombes 92 | 12 | 7 | 58% |
12 | AF Virois | 12 | 10 | 83% |
13 | Dinan Léhon | 13 | 10 | 77% |
14 | Guingamp II | 13 | 8 | 62% |
This section shows the statistics on how many times Chambly and AF Virois have both scored and conceded in the same match in the National 2 Group C.
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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