18.03.2016 - 15:00
Stadium: Stade de la Source
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Strasbourg | 34 | 8 | 24% |
2 | Amiens SC | 34 | 17 | 50% |
3 | Orléans | 34 | 20 | 59% |
4 | Châteauroux | 34 | 22 | 65% |
5 | Béziers | 34 | 14 | 41% |
6 | Dunkerque | 34 | 20 | 59% |
7 | Athlético Marseille | 34 | 18 | 53% |
8 | Boulogne | 34 | 19 | 56% |
9 | Chambly | 34 | 20 | 59% |
10 | Les Herbiers | 34 | 21 | 62% |
11 | Avranches | 34 | 19 | 56% |
12 | Belfort | 34 | 11 | 32% |
13 | CA Bastia | 34 | 12 | 35% |
14 | Épinal | 34 | 24 | 71% |
15 | Sedan | 34 | 12 | 35% |
16 | Fréjus St-Raphaël | 34 | 15 | 44% |
17 | Colmar | 34 | 21 | 62% |
18 | Luçon | 34 | 19 | 56% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Strasbourg | 17 | 6 | 35% |
2 | Amiens SC | 17 | 8 | 47% |
3 | Orléans | 17 | 10 | 59% |
4 | Châteauroux | 17 | 11 | 65% |
5 | Béziers | 17 | 8 | 47% |
6 | Dunkerque | 17 | 11 | 65% |
7 | Athlético Marseille | 17 | 8 | 47% |
8 | Boulogne | 17 | 8 | 47% |
9 | Chambly | 17 | 12 | 71% |
10 | Les Herbiers | 17 | 11 | 65% |
11 | Avranches | 17 | 8 | 47% |
12 | Belfort | 17 | 6 | 35% |
13 | CA Bastia | 17 | 5 | 29% |
14 | Épinal | 17 | 13 | 76% |
15 | Sedan | 17 | 5 | 29% |
16 | Fréjus St-Raphaël | 17 | 8 | 47% |
17 | Colmar | 17 | 8 | 47% |
18 | Luçon | 17 | 10 | 59% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Strasbourg | 17 | 2 | 12% |
2 | Amiens SC | 17 | 9 | 53% |
3 | Orléans | 17 | 10 | 59% |
4 | Châteauroux | 17 | 11 | 65% |
5 | Béziers | 17 | 6 | 35% |
6 | Dunkerque | 17 | 9 | 53% |
7 | Athlético Marseille | 17 | 10 | 59% |
8 | Boulogne | 17 | 11 | 65% |
9 | Chambly | 17 | 8 | 47% |
10 | Les Herbiers | 17 | 10 | 59% |
11 | Avranches | 17 | 11 | 65% |
12 | Belfort | 17 | 5 | 29% |
13 | CA Bastia | 17 | 7 | 41% |
14 | Épinal | 17 | 11 | 65% |
15 | Sedan | 17 | 7 | 41% |
16 | Fréjus St-Raphaël | 17 | 7 | 41% |
17 | Colmar | 17 | 13 | 76% |
18 | Luçon | 17 | 9 | 53% |
This section shows the statistics on how many times Orléans and Fréjus St-Raphaël 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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