24.05.2014 - 16:00
Stadium : Grosics Gyula Stadion
Finished
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Gyirmót | 30 | 18 | 60% |
2 | Vasas | 30 | 17 | 57% |
3 | Békéscsaba | 30 | 18 | 60% |
4 | Balmazújváros Sport | 30 | 19 | 63% |
5 | Nyíregyháza Spartacus | 30 | 13 | 43% |
6 | Dunaújváros-Pálhalma | 30 | 13 | 43% |
7 | Ceglédi | 30 | 13 | 43% |
8 | Zalaegerszegi TE | 30 | 18 | 60% |
9 | Szolnoki MÁV | 30 | 17 | 57% |
10 | Soproni VSE | 30 | 17 | 57% |
11 | Várda SE | 30 | 18 | 60% |
12 | Siófok | 30 | 12 | 40% |
13 | Kozármisleny | 30 | 15 | 50% |
14 | Ajka | 30 | 14 | 47% |
15 | SZTK-Erima | 30 | 13 | 43% |
16 | Tatabánya | 30 | 15 | 50% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Gyirmót | 15 | 8 | 53% |
2 | Vasas | 15 | 8 | 53% |
3 | Békéscsaba | 15 | 10 | 67% |
4 | Balmazújváros Sport | 15 | 9 | 60% |
5 | Nyíregyháza Spartacus | 15 | 5 | 33% |
6 | Dunaújváros-Pálhalma | 15 | 3 | 20% |
7 | Ceglédi | 15 | 8 | 53% |
8 | Zalaegerszegi TE | 15 | 11 | 73% |
9 | Szolnoki MÁV | 15 | 10 | 67% |
10 | Soproni VSE | 15 | 10 | 67% |
11 | Várda SE | 15 | 6 | 40% |
12 | Siófok | 15 | 5 | 33% |
13 | Kozármisleny | 15 | 8 | 53% |
14 | Ajka | 15 | 7 | 47% |
15 | SZTK-Erima | 15 | 6 | 40% |
16 | Tatabánya | 15 | 11 | 73% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | Gyirmót | 15 | 10 | 67% |
2 | Vasas | 15 | 9 | 60% |
3 | Békéscsaba | 15 | 8 | 53% |
4 | Balmazújváros Sport | 15 | 10 | 67% |
5 | Nyíregyháza Spartacus | 15 | 8 | 53% |
6 | Dunaújváros-Pálhalma | 15 | 10 | 67% |
7 | Ceglédi | 15 | 5 | 33% |
8 | Zalaegerszegi TE | 15 | 7 | 47% |
9 | Szolnoki MÁV | 15 | 7 | 47% |
10 | Soproni VSE | 15 | 7 | 47% |
11 | Várda SE | 15 | 12 | 80% |
12 | Siófok | 15 | 7 | 47% |
13 | Kozármisleny | 15 | 7 | 47% |
14 | Ajka | 15 | 7 | 47% |
15 | SZTK-Erima | 15 | 7 | 47% |
16 | Tatabánya | 15 | 4 | 27% |
This section shows the statistics on how many times Tatabánya and Dunaújváros-Pálhalma have both scored and conceded in the same match in the NB II.
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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