23.09.2023 - 16:00
Stadium : Stade Auguste Gentelet
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bourg-en-Bresse | 26 | 12 | 46% |
2 | Créteil | 25 | 13 | 52% |
3 | Colmar | 26 | 17 | 65% |
4 | Furiani-Agliani | 26 | 12 | 46% |
5 | Fleury 91 | 26 | 14 | 54% |
6 | Wasquehal | 26 | 17 | 65% |
7 | Auxerre II | 25 | 11 | 44% |
8 | Haguenau | 26 | 14 | 54% |
9 | Biesheim | 26 | 13 | 50% |
10 | Feignies-Aulnoye | 26 | 12 | 46% |
11 | Mâcon | 26 | 15 | 58% |
12 | Bobigny AC | 26 | 17 | 65% |
13 | Racing Besançon | 26 | 14 | 54% |
14 | Olympique St Quentin | 26 | 17 | 65% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bourg-en-Bresse | 13 | 4 | 31% |
2 | Créteil | 13 | 5 | 38% |
3 | Colmar | 13 | 10 | 77% |
4 | Furiani-Agliani | 13 | 4 | 31% |
5 | Fleury 91 | 13 | 7 | 54% |
6 | Wasquehal | 13 | 9 | 69% |
7 | Auxerre II | 12 | 4 | 33% |
8 | Haguenau | 13 | 8 | 62% |
9 | Biesheim | 13 | 7 | 54% |
10 | Feignies-Aulnoye | 13 | 8 | 62% |
11 | Mâcon | 13 | 8 | 62% |
12 | Bobigny AC | 13 | 8 | 62% |
13 | Racing Besançon | 13 | 8 | 62% |
14 | Olympique St Quentin | 13 | 9 | 69% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bourg-en-Bresse | 13 | 8 | 62% |
2 | Créteil | 12 | 8 | 67% |
3 | Colmar | 13 | 7 | 54% |
4 | Furiani-Agliani | 13 | 8 | 62% |
5 | Fleury 91 | 13 | 7 | 54% |
6 | Wasquehal | 13 | 8 | 62% |
7 | Auxerre II | 13 | 7 | 54% |
8 | Haguenau | 13 | 6 | 46% |
9 | Biesheim | 13 | 6 | 46% |
10 | Feignies-Aulnoye | 13 | 4 | 31% |
11 | Mâcon | 13 | 7 | 54% |
12 | Bobigny AC | 13 | 9 | 69% |
13 | Racing Besançon | 13 | 6 | 46% |
14 | Olympique St Quentin | 13 | 8 | 62% |
This section shows the statistics on how many times Fleury 91 and Colmar 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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