16.11.2019 - 11:30
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Juventus Women | 16 | 9 | 56% |
2 | Fiorentina Women | 15 | 9 | 60% |
3 | Inter Milan Women | 16 | 7 | 44% |
4 | Verona Women | 16 | 7 | 44% |
5 | Orobica Women | 16 | 6 | 38% |
6 | Tavagnacco Women | 16 | 7 | 44% |
7 | Bari Women | 16 | 9 | 56% |
8 | Sassuolo Women | 16 | 8 | 50% |
9 | Empoli Women | 16 | 9 | 56% |
10 | Roma Women | 16 | 6 | 38% |
11 | AC Milan Women | 15 | 9 | 60% |
12 | SSD Florentia Women | 16 | 10 | 63% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Juventus Women | 7 | 4 | 57% |
2 | Fiorentina Women | 7 | 5 | 71% |
3 | Inter Milan Women | 8 | 4 | 50% |
4 | Verona Women | 8 | 3 | 38% |
5 | Orobica Women | 8 | 4 | 50% |
6 | Tavagnacco Women | 8 | 3 | 38% |
7 | Bari Women | 8 | 3 | 38% |
8 | Sassuolo Women | 9 | 3 | 33% |
9 | Empoli Women | 8 | 5 | 63% |
10 | Roma Women | 8 | 2 | 25% |
11 | AC Milan Women | 8 | 6 | 75% |
12 | SSD Florentia Women | 8 | 6 | 75% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Juventus Women | 9 | 5 | 56% |
2 | Fiorentina Women | 8 | 4 | 50% |
3 | Inter Milan Women | 8 | 3 | 38% |
4 | Verona Women | 8 | 4 | 50% |
5 | Orobica Women | 8 | 2 | 25% |
6 | Tavagnacco Women | 8 | 4 | 50% |
7 | Bari Women | 8 | 6 | 75% |
8 | Sassuolo Women | 7 | 5 | 71% |
9 | Empoli Women | 8 | 4 | 50% |
10 | Roma Women | 8 | 4 | 50% |
11 | AC Milan Women | 7 | 3 | 43% |
12 | SSD Florentia Women | 8 | 4 | 50% |
This section shows the statistics on how many times Inter Milan Women and Orobica Women have both scored and conceded in the same match in the Serie A Women.
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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