12.10.2022 - 13:00
Stadium : Stadio XXI Settembre-Franco Salerno
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Matera | 34 | 23 | 68% |
2 | Martina Franca | 34 | 18 | 53% |
3 | Barletta | 34 | 16 | 47% |
4 | Nocerina | 34 | 21 | 62% |
5 | Francavilla | 34 | 19 | 56% |
6 | Cavese | 34 | 24 | 71% |
7 | Virtus Casarano | 34 | 19 | 56% |
8 | Nardò | 34 | 15 | 44% |
9 | Città di Fasano | 34 | 18 | 53% |
10 | Bitonto | 34 | 20 | 59% |
11 | Gladiator | 34 | 18 | 53% |
12 | Team Altamura | 34 | 22 | 65% |
13 | Gravina | 34 | 17 | 50% |
14 | Brindisi | 34 | 19 | 56% |
15 | Afragolese | 34 | 23 | 68% |
16 | Lavello | 34 | 19 | 56% |
17 | Molfetta Calcio | 34 | 20 | 59% |
18 | Puteolana | 34 | 19 | 56% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Matera | 17 | 9 | 53% |
2 | Martina Franca | 17 | 11 | 65% |
3 | Barletta | 17 | 9 | 53% |
4 | Nocerina | 17 | 10 | 59% |
5 | Francavilla | 17 | 8 | 47% |
6 | Cavese | 17 | 10 | 59% |
7 | Virtus Casarano | 17 | 10 | 59% |
8 | Nardò | 17 | 7 | 41% |
9 | Città di Fasano | 17 | 9 | 53% |
10 | Bitonto | 17 | 11 | 65% |
11 | Gladiator | 17 | 9 | 53% |
12 | Team Altamura | 17 | 11 | 65% |
13 | Gravina | 17 | 11 | 65% |
14 | Brindisi | 17 | 8 | 47% |
15 | Afragolese | 17 | 10 | 59% |
16 | Lavello | 17 | 10 | 59% |
17 | Molfetta Calcio | 17 | 11 | 65% |
18 | Puteolana | 17 | 11 | 65% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Matera | 17 | 14 | 82% |
2 | Martina Franca | 17 | 7 | 41% |
3 | Barletta | 17 | 7 | 41% |
4 | Nocerina | 17 | 11 | 65% |
5 | Francavilla | 17 | 11 | 65% |
6 | Cavese | 17 | 14 | 82% |
7 | Virtus Casarano | 17 | 9 | 53% |
8 | Nardò | 17 | 8 | 47% |
9 | Città di Fasano | 17 | 9 | 53% |
10 | Bitonto | 17 | 9 | 53% |
11 | Gladiator | 17 | 9 | 53% |
12 | Team Altamura | 17 | 11 | 65% |
13 | Gravina | 17 | 6 | 35% |
14 | Brindisi | 17 | 11 | 65% |
15 | Afragolese | 17 | 13 | 76% |
16 | Lavello | 17 | 9 | 53% |
17 | Molfetta Calcio | 17 | 9 | 53% |
18 | Puteolana | 17 | 8 | 47% |
This section shows the statistics on how many times Matera and Bitonto have both scored and conceded in the same match in the Serie D Group H.
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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