27.09.2019 - 18:00
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bourg-en-Bresse | 25 | 15 | 60% |
2 | Red Star | 25 | 11 | 44% |
3 | Laval | 25 | 9 | 36% |
4 | Gazélec Ajaccio | 25 | 8 | 32% |
5 | Créteil | 25 | 11 | 44% |
6 | Quevilly Rouen | 24 | 10 | 42% |
7 | Béziers | 25 | 15 | 60% |
8 | Dunkerque | 25 | 14 | 56% |
9 | Boulogne | 25 | 8 | 32% |
10 | Lyon Duchère | 25 | 15 | 60% |
11 | Concarneau | 25 | 8 | 32% |
12 | Cholet | 25 | 14 | 56% |
13 | Avranches | 24 | 11 | 46% |
14 | Pau | 25 | 11 | 44% |
15 | Bastia-Borgo | 23 | 11 | 48% |
16 | Le Puy F.43 Auvergne | 25 | 11 | 44% |
17 | Toulon | 25 | 12 | 48% |
18 | Villefranche | 25 | 12 | 48% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bourg-en-Bresse | 13 | 6 | 46% |
2 | Red Star | 13 | 6 | 46% |
3 | Laval | 13 | 2 | 15% |
4 | Gazélec Ajaccio | 13 | 4 | 31% |
5 | Créteil | 13 | 5 | 38% |
6 | Quevilly Rouen | 11 | 3 | 27% |
7 | Béziers | 12 | 7 | 58% |
8 | Dunkerque | 13 | 10 | 77% |
9 | Boulogne | 12 | 6 | 50% |
10 | Lyon Duchère | 12 | 8 | 67% |
11 | Concarneau | 12 | 4 | 33% |
12 | Cholet | 12 | 5 | 42% |
13 | Avranches | 12 | 6 | 50% |
14 | Pau | 13 | 7 | 54% |
15 | Bastia-Borgo | 11 | 6 | 55% |
16 | Le Puy F.43 Auvergne | 12 | 6 | 50% |
17 | Toulon | 13 | 6 | 46% |
18 | Villefranche | 13 | 6 | 46% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bourg-en-Bresse | 12 | 9 | 75% |
2 | Red Star | 12 | 5 | 42% |
3 | Laval | 12 | 7 | 58% |
4 | Gazélec Ajaccio | 12 | 4 | 33% |
5 | Créteil | 12 | 6 | 50% |
6 | Quevilly Rouen | 13 | 7 | 54% |
7 | Béziers | 13 | 8 | 62% |
8 | Dunkerque | 12 | 4 | 33% |
9 | Boulogne | 13 | 2 | 15% |
10 | Lyon Duchère | 13 | 7 | 54% |
11 | Concarneau | 13 | 4 | 31% |
12 | Cholet | 13 | 9 | 69% |
13 | Avranches | 12 | 5 | 42% |
14 | Pau | 12 | 4 | 33% |
15 | Bastia-Borgo | 12 | 5 | 42% |
16 | Le Puy F.43 Auvergne | 13 | 5 | 38% |
17 | Toulon | 12 | 6 | 50% |
18 | Villefranche | 12 | 6 | 50% |
This section shows the statistics on how many times Bastia-Borgo and Quevilly Rouen have both scored and conceded in the same match in the National.
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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