20.10.2019 - 13:00
Stadium : Stadio Comunale Franco Scoglio
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Palermo | 26 | 9 | 35% |
2 | Messina | 26 | 11 | 42% |
3 | Savoia | 26 | 10 | 38% |
4 | Acireale | 26 | 18 | 69% |
5 | SSC Giugliano | 26 | 12 | 46% |
6 | Cittanovese | 26 | 12 | 46% |
7 | Biancavilla | 26 | 7 | 27% |
8 | Castrovillari | 26 | 17 | 65% |
9 | Palmese | 26 | 12 | 46% |
10 | FC Messina | 26 | 9 | 35% |
11 | Licata | 26 | 11 | 42% |
12 | Marina di Ragusa | 26 | 14 | 54% |
13 | Nola 1925 | 26 | 12 | 46% |
14 | Marsala | 26 | 12 | 46% |
15 | Roccella | 26 | 9 | 35% |
16 | Corigliano Calabro | 26 | 14 | 54% |
17 | San Tommaso | 26 | 13 | 50% |
18 | Troina | 26 | 8 | 31% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Palermo | 14 | 6 | 43% |
2 | Messina | 13 | 4 | 31% |
3 | Savoia | 14 | 6 | 43% |
4 | Acireale | 13 | 9 | 69% |
5 | SSC Giugliano | 14 | 8 | 57% |
6 | Cittanovese | 13 | 6 | 46% |
7 | Biancavilla | 13 | 6 | 46% |
8 | Castrovillari | 13 | 6 | 46% |
9 | Palmese | 13 | 8 | 62% |
10 | FC Messina | 13 | 4 | 31% |
11 | Licata | 13 | 5 | 38% |
12 | Marina di Ragusa | 12 | 6 | 50% |
13 | Nola 1925 | 13 | 4 | 31% |
14 | Marsala | 12 | 5 | 42% |
15 | Roccella | 12 | 5 | 42% |
16 | Corigliano Calabro | 13 | 5 | 38% |
17 | San Tommaso | 13 | 8 | 62% |
18 | Troina | 13 | 4 | 31% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Palermo | 12 | 3 | 25% |
2 | Messina | 13 | 7 | 54% |
3 | Savoia | 12 | 4 | 33% |
4 | Acireale | 13 | 9 | 69% |
5 | SSC Giugliano | 12 | 4 | 33% |
6 | Cittanovese | 13 | 6 | 46% |
7 | Biancavilla | 13 | 1 | 8% |
8 | Castrovillari | 13 | 11 | 85% |
9 | Palmese | 13 | 4 | 31% |
10 | FC Messina | 13 | 5 | 38% |
11 | Licata | 13 | 6 | 46% |
12 | Marina di Ragusa | 14 | 8 | 57% |
13 | Nola 1925 | 13 | 8 | 62% |
14 | Marsala | 14 | 7 | 50% |
15 | Roccella | 14 | 4 | 29% |
16 | Corigliano Calabro | 13 | 9 | 69% |
17 | San Tommaso | 13 | 5 | 38% |
18 | Troina | 13 | 4 | 31% |
This section shows the statistics on how many times Messina and Roccella have both scored and conceded in the same match in the Serie D Group I.
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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