# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ![]() Ferencváros | 33 | 16 | 48% |
2 | ![]() Videoton | 33 | 20 | 61% |
3 | ![]() Debrecen | 33 | 18 | 55% |
4 | ![]() Honvéd Women | 33 | 22 | 67% |
5 | ![]() Mezőkövesd-Zsóry | 33 | 16 | 48% |
6 | ![]() Újpest | 33 | 24 | 73% |
7 | ![]() MTK | 33 | 13 | 39% |
8 | ![]() Gyirmót | 33 | 18 | 55% |
9 | ![]() Paksi SE | 33 | 27 | 82% |
10 | ![]() Puskás | 33 | 18 | 55% |
11 | ![]() Zalaegerszegi TE | 33 | 20 | 61% |
12 | ![]() Várda SE | 33 | 18 | 55% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ![]() Ferencváros | 17 | 10 | 59% |
2 | ![]() Videoton | 16 | 10 | 63% |
3 | ![]() Debrecen | 16 | 9 | 56% |
4 | ![]() Honvéd Women | 16 | 11 | 69% |
5 | ![]() Mezőkövesd-Zsóry | 16 | 8 | 50% |
6 | ![]() Újpest | 17 | 11 | 65% |
7 | ![]() MTK | 17 | 5 | 29% |
8 | ![]() Gyirmót | 17 | 10 | 59% |
9 | ![]() Paksi SE | 17 | 13 | 76% |
10 | ![]() Puskás | 16 | 8 | 50% |
11 | ![]() Zalaegerszegi TE | 17 | 11 | 65% |
12 | ![]() Várda SE | 16 | 9 | 56% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 | ![]() Ferencváros | 16 | 6 | 38% |
2 | ![]() Videoton | 17 | 10 | 59% |
3 | ![]() Debrecen | 17 | 9 | 53% |
4 | ![]() Honvéd Women | 17 | 11 | 65% |
5 | ![]() Mezőkövesd-Zsóry | 17 | 8 | 47% |
6 | ![]() Újpest | 16 | 13 | 81% |
7 | ![]() MTK | 16 | 8 | 50% |
8 | ![]() Gyirmót | 16 | 8 | 50% |
9 | ![]() Paksi SE | 16 | 14 | 88% |
10 | ![]() Puskás | 17 | 10 | 59% |
11 | ![]() Zalaegerszegi TE | 16 | 9 | 56% |
12 | ![]() Várda SE | 17 | 9 | 53% |
This section shows the statistics on how many times Videoton and Mezőkövesd-Zsóry have both scored and conceded in the same match in the NB 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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