# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ferencváros |
33 | 17 | 52% |
2 |
![]() Videoton |
33 | 21 | 64% |
3 |
![]() Honvéd W |
33 | 22 | 67% |
4 |
![]() Mezőkövesd-Zsóry |
33 | 18 | 55% |
5 |
![]() Újpest |
33 | 19 | 58% |
6 |
![]() MTK |
33 | 17 | 52% |
7 |
![]() Diósgyőr |
33 | 17 | 52% |
8 |
![]() Paksi SE |
33 | 27 | 82% |
9 |
![]() Puskás |
33 | 16 | 48% |
10 |
![]() Zalaegerszegi TE |
33 | 20 | 61% |
11 |
![]() Budafoki MTE |
33 | 20 | 61% |
12 |
![]() Várda SE |
33 | 12 | 36% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ferencváros |
16 | 6 | 38% |
2 |
![]() Videoton |
16 | 11 | 69% |
3 |
![]() Honvéd W |
17 | 14 | 82% |
4 |
![]() Mezőkövesd-Zsóry |
16 | 11 | 69% |
5 |
![]() Újpest |
16 | 8 | 50% |
6 |
![]() MTK |
16 | 9 | 56% |
7 |
![]() Diósgyőr |
17 | 10 | 59% |
8 |
![]() Paksi SE |
17 | 12 | 71% |
9 |
![]() Puskás |
17 | 7 | 41% |
10 |
![]() Zalaegerszegi TE |
17 | 9 | 53% |
11 |
![]() Budafoki MTE |
17 | 11 | 65% |
12 |
![]() Várda SE |
16 | 5 | 31% |
# | Team | MP | BTTS | BTTS% |
---|---|---|---|---|
1 |
![]() Ferencváros |
17 | 11 | 65% |
2 |
![]() Videoton |
17 | 10 | 59% |
3 |
![]() Honvéd W |
16 | 8 | 50% |
4 |
![]() Mezőkövesd-Zsóry |
17 | 7 | 41% |
5 |
![]() Újpest |
17 | 11 | 65% |
6 |
![]() MTK |
17 | 8 | 47% |
7 |
![]() Diósgyőr |
16 | 7 | 44% |
8 |
![]() Paksi SE |
16 | 15 | 94% |
9 |
![]() Puskás |
16 | 9 | 56% |
10 |
![]() Zalaegerszegi TE |
16 | 11 | 69% |
11 |
![]() Budafoki MTE |
16 | 9 | 56% |
12 |
![]() Várda SE |
17 | 7 | 41% |
This section shows the statistics on how many times Ferencváros 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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