19.03.2021 - 17:00
Stadium : Stade Armand Chouffet
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bastia | 34 | 18 | 53% |
2 | Bourg-en-Bresse | 34 | 12 | 35% |
3 | Orléans | 34 | 20 | 59% |
4 | Red Star | 34 | 16 | 47% |
5 | Laval | 34 | 16 | 47% |
6 | Créteil | 34 | 16 | 47% |
7 | Quevilly Rouen | 34 | 17 | 50% |
8 | Boulogne | 34 | 15 | 44% |
9 | Lyon Duchère | 34 | 23 | 68% |
10 | Concarneau | 34 | 18 | 53% |
11 | Cholet | 34 | 17 | 50% |
12 | Avranches | 34 | 18 | 53% |
13 | Stade Briochin | 34 | 17 | 50% |
14 | Bastia-Borgo | 34 | 20 | 59% |
15 | Villefranche | 34 | 13 | 38% |
16 | Annecy | 34 | 18 | 53% |
17 | Le Mans | 34 | 17 | 50% |
18 | Sète | 34 | 11 | 32% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bastia | 17 | 8 | 47% |
2 | Bourg-en-Bresse | 17 | 4 | 24% |
3 | Orléans | 17 | 11 | 65% |
4 | Red Star | 17 | 5 | 29% |
5 | Laval | 17 | 10 | 59% |
6 | Créteil | 17 | 10 | 59% |
7 | Quevilly Rouen | 17 | 7 | 41% |
8 | Boulogne | 17 | 9 | 53% |
9 | Lyon Duchère | 17 | 10 | 59% |
10 | Concarneau | 17 | 10 | 59% |
11 | Cholet | 17 | 12 | 71% |
12 | Avranches | 17 | 10 | 59% |
13 | Stade Briochin | 17 | 8 | 47% |
14 | Bastia-Borgo | 17 | 10 | 59% |
15 | Villefranche | 17 | 6 | 35% |
16 | Annecy | 17 | 9 | 53% |
17 | Le Mans | 17 | 9 | 53% |
18 | Sète | 17 | 3 | 18% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Bastia | 17 | 10 | 59% |
2 | Bourg-en-Bresse | 17 | 8 | 47% |
3 | Orléans | 17 | 9 | 53% |
4 | Red Star | 17 | 11 | 65% |
5 | Laval | 17 | 6 | 35% |
6 | Créteil | 17 | 6 | 35% |
7 | Quevilly Rouen | 17 | 10 | 59% |
8 | Boulogne | 17 | 6 | 35% |
9 | Lyon Duchère | 17 | 13 | 76% |
10 | Concarneau | 17 | 8 | 47% |
11 | Cholet | 17 | 5 | 29% |
12 | Avranches | 17 | 8 | 47% |
13 | Stade Briochin | 17 | 9 | 53% |
14 | Bastia-Borgo | 17 | 10 | 59% |
15 | Villefranche | 17 | 7 | 41% |
16 | Annecy | 17 | 9 | 53% |
17 | Le Mans | 17 | 8 | 47% |
18 | Sète | 17 | 8 | 47% |
This section shows the statistics on how many times Villefranche and Bastia-Borgo 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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