29.10.2022 - 10:00
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Naftan | 24 | 10 | 42% |
2 | Molodechno-DYuSSh 4 | 24 | 14 | 58% |
3 | Volna | 24 | 16 | 67% |
4 | MKK-Dnepr | 24 | 13 | 54% |
5 | Osipovichy | 24 | 10 | 42% |
6 | Baranovichi | 24 | 11 | 46% |
7 | Orsha | 24 | 15 | 63% |
8 | Lokomotiv Gomel | 24 | 12 | 50% |
9 | Smorgon | 24 | 13 | 54% |
10 | Lida | 24 | 15 | 63% |
11 | Slonim | 24 | 9 | 38% |
12 | Ostrovets FC | 24 | 11 | 46% |
13 | Shakhtyor Petrikov | 24 | 11 | 46% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Naftan | 12 | 6 | 50% |
2 | Molodechno-DYuSSh 4 | 12 | 6 | 50% |
3 | Volna | 12 | 8 | 67% |
4 | MKK-Dnepr | 12 | 7 | 58% |
5 | Osipovichy | 12 | 3 | 25% |
6 | Baranovichi | 12 | 7 | 58% |
7 | Orsha | 12 | 8 | 67% |
8 | Lokomotiv Gomel | 12 | 8 | 67% |
9 | Smorgon | 12 | 5 | 42% |
10 | Lida | 12 | 7 | 58% |
11 | Slonim | 12 | 4 | 33% |
12 | Ostrovets FC | 12 | 5 | 42% |
13 | Shakhtyor Petrikov | 12 | 6 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Naftan | 12 | 4 | 33% |
2 | Molodechno-DYuSSh 4 | 12 | 8 | 67% |
3 | Volna | 12 | 8 | 67% |
4 | MKK-Dnepr | 12 | 6 | 50% |
5 | Osipovichy | 12 | 7 | 58% |
6 | Baranovichi | 12 | 4 | 33% |
7 | Orsha | 12 | 7 | 58% |
8 | Lokomotiv Gomel | 12 | 4 | 33% |
9 | Smorgon | 12 | 8 | 67% |
10 | Lida | 12 | 8 | 67% |
11 | Slonim | 12 | 5 | 42% |
12 | Ostrovets FC | 12 | 6 | 50% |
13 | Shakhtyor Petrikov | 12 | 5 | 42% |
This section shows the statistics on how many times Orsha and Molodechno-DYuSSh 4 have both scored and conceded in the same match in the First League.
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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