| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Ferencváros |
33 | 20 | 61% |
| 2 |
Videoton |
33 | 17 | 52% |
| 3 |
Debrecen |
33 | 22 | 67% |
| 4 |
Honvéd W |
33 | 25 | 76% |
| 5 |
Mezőkövesd-Zsóry |
33 | 17 | 52% |
| 6 |
Újpest |
33 | 19 | 58% |
| 7 |
Szombathelyi Haladás |
33 | 18 | 55% |
| 8 |
Vasas |
33 | 19 | 58% |
| 9 |
Diósgyőr |
33 | 20 | 61% |
| 10 |
Paksi SE |
33 | 20 | 61% |
| 11 |
Puskás |
33 | 20 | 61% |
| 12 |
Balmazújváros Sport |
33 | 17 | 52% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Ferencváros |
17 | 10 | 59% |
| 2 |
Videoton |
17 | 7 | 41% |
| 3 |
Debrecen |
16 | 12 | 75% |
| 4 |
Honvéd W |
17 | 13 | 76% |
| 5 |
Mezőkövesd-Zsóry |
16 | 8 | 50% |
| 6 |
Újpest |
16 | 10 | 63% |
| 7 |
Szombathelyi Haladás |
17 | 9 | 53% |
| 8 |
Vasas |
17 | 8 | 47% |
| 9 |
Diósgyőr |
16 | 12 | 75% |
| 10 |
Paksi SE |
17 | 11 | 65% |
| 11 |
Puskás |
16 | 9 | 56% |
| 12 |
Balmazújváros Sport |
16 | 8 | 50% |
| # | Team | MP | BTTS | BTTS% |
|---|---|---|---|---|
| 1 |
Ferencváros |
16 | 10 | 63% |
| 2 |
Videoton |
16 | 10 | 63% |
| 3 |
Debrecen |
17 | 10 | 59% |
| 4 |
Honvéd W |
16 | 12 | 75% |
| 5 |
Mezőkövesd-Zsóry |
17 | 9 | 53% |
| 6 |
Újpest |
17 | 9 | 53% |
| 7 |
Szombathelyi Haladás |
16 | 9 | 56% |
| 8 |
Vasas |
16 | 11 | 69% |
| 9 |
Diósgyőr |
17 | 8 | 47% |
| 10 |
Paksi SE |
16 | 9 | 56% |
| 11 |
Puskás |
17 | 11 | 65% |
| 12 |
Balmazújváros Sport |
17 | 9 | 53% |
This section shows the statistics on how many times Puskás 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
Switch to
Would you like to change to ?
Login or Signup to add to favourites
You can login with social media
Not registered yet? Create an Account.