29.09.2019 - 09:00
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Grosseto | 26 | 14 | 54% |
2 | Gavorrano | 26 | 15 | 58% |
3 | Tuttocuoio | 26 | 15 | 58% |
4 | Nuova Monterosi | 26 | 12 | 46% |
5 | Foligno | 26 | 12 | 46% |
6 | Albalonga | 26 | 12 | 46% |
7 | Sangiovannese 1927 | 26 | 12 | 46% |
8 | Pomezia | 26 | 13 | 50% |
9 | Ponsacco | 26 | 11 | 42% |
10 | Grassina | 26 | 13 | 50% |
11 | Bastia Calcio | 26 | 14 | 54% |
12 | Aglianese | 26 | 13 | 50% |
13 | Cannara | 26 | 17 | 65% |
14 | Scandicci | 26 | 13 | 50% |
15 | San Donato Tavarnelle | 26 | 13 | 50% |
16 | Montevarchi Calcio | 26 | 12 | 46% |
17 | Flaminia | 26 | 15 | 58% |
18 | Sporting Trestina | 26 | 14 | 54% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Grosseto | 13 | 5 | 38% |
2 | Gavorrano | 13 | 7 | 54% |
3 | Tuttocuoio | 13 | 9 | 69% |
4 | Nuova Monterosi | 13 | 6 | 46% |
5 | Foligno | 13 | 7 | 54% |
6 | Albalonga | 12 | 7 | 58% |
7 | Sangiovannese 1927 | 12 | 5 | 42% |
8 | Pomezia | 14 | 9 | 64% |
9 | Ponsacco | 13 | 6 | 46% |
10 | Grassina | 13 | 7 | 54% |
11 | Bastia Calcio | 12 | 6 | 50% |
12 | Aglianese | 14 | 5 | 36% |
13 | Cannara | 13 | 9 | 69% |
14 | Scandicci | 13 | 7 | 54% |
15 | San Donato Tavarnelle | 13 | 4 | 31% |
16 | Montevarchi Calcio | 14 | 7 | 50% |
17 | Flaminia | 13 | 8 | 62% |
18 | Sporting Trestina | 13 | 6 | 46% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Grosseto | 13 | 9 | 69% |
2 | Gavorrano | 13 | 8 | 62% |
3 | Tuttocuoio | 13 | 6 | 46% |
4 | Nuova Monterosi | 13 | 6 | 46% |
5 | Foligno | 13 | 5 | 38% |
6 | Albalonga | 14 | 5 | 36% |
7 | Sangiovannese 1927 | 14 | 7 | 50% |
8 | Pomezia | 12 | 4 | 33% |
9 | Ponsacco | 13 | 5 | 38% |
10 | Grassina | 13 | 6 | 46% |
11 | Bastia Calcio | 14 | 8 | 57% |
12 | Aglianese | 12 | 8 | 67% |
13 | Cannara | 13 | 8 | 62% |
14 | Scandicci | 13 | 6 | 46% |
15 | San Donato Tavarnelle | 13 | 9 | 69% |
16 | Montevarchi Calcio | 12 | 5 | 42% |
17 | Flaminia | 13 | 7 | 54% |
18 | Sporting Trestina | 13 | 8 | 62% |
This section shows the statistics on how many times Albalonga and Grosseto have both scored and conceded in the same match in the Serie D Group E.
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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