# | Team | MP | Over 2.5 | Overall | Home | Away |
---|
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Jonava |
36 | 23 | 64% | 61% | 67% |
2 |
![]() Žalgiris |
36 | 22 | 61% | 67% | 56% |
3 |
![]() Kauno Žalgiris |
36 | 19 | 53% | 56% | 50% |
4 |
![]() Trakai |
36 | 18 | 50% | 56% | 44% |
5 |
![]() Džiugas Telšiai |
36 | 18 | 50% | 39% | 61% |
6 |
![]() Panevėžys |
36 | 17 | 47% | 56% | 39% |
7 |
![]() Hegelmann Litauen |
36 | 17 | 47% | 56% | 39% |
8 |
![]() Sūduva |
36 | 16 | 44% | 44% | 44% |
9 |
![]() FA Šiauliai |
36 | 16 | 44% | 39% | 50% |
10 |
![]() Banga |
36 | 14 | 39% | 28% | 50% |
# | Team | MP | Over 0.5 | Overall | Home | Away |
---|
# | Team | MP | Over 0.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Jonava |
36 | 36 | 100% | 100% | 100% |
2 |
![]() Kauno Žalgiris |
36 | 34 | 94% | 89% | 100% |
3 |
![]() Trakai |
36 | 34 | 94% | 89% | 100% |
4 |
![]() Žalgiris |
36 | 33 | 92% | 83% | 100% |
5 |
![]() Sūduva |
36 | 33 | 92% | 100% | 83% |
6 |
![]() Banga |
36 | 33 | 92% | 89% | 94% |
7 |
![]() Džiugas Telšiai |
36 | 33 | 92% | 83% | 100% |
8 |
![]() Hegelmann Litauen |
36 | 33 | 92% | 100% | 83% |
9 |
![]() Panevėžys |
36 | 32 | 89% | 100% | 78% |
10 |
![]() FA Šiauliai |
36 | 29 | 81% | 83% | 78% |
# | Team | MP | Over 1.5 | Overall | Home | Away |
---|
# | Team | MP | Over 1.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Jonava |
36 | 31 | 86% | 78% | 94% |
2 |
![]() Sūduva |
36 | 29 | 81% | 89% | 72% |
3 |
![]() Kauno Žalgiris |
36 | 29 | 81% | 78% | 83% |
4 |
![]() Žalgiris |
36 | 28 | 78% | 72% | 83% |
5 |
![]() Banga |
36 | 27 | 75% | 67% | 83% |
6 |
![]() Hegelmann Litauen |
36 | 27 | 75% | 89% | 61% |
7 |
![]() Trakai |
36 | 26 | 72% | 78% | 67% |
8 |
![]() Džiugas Telšiai |
36 | 25 | 69% | 56% | 83% |
9 |
![]() Panevėžys |
36 | 24 | 67% | 78% | 56% |
10 |
![]() FA Šiauliai |
36 | 22 | 61% | 61% | 61% |
# | Team | MP | Over 1.5 | Overall | Home | Away |
---|
# | Team | MP | Over 1.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Jonava |
36 | 16 | 44% | 44% | 44% |
2 |
![]() Žalgiris |
36 | 14 | 39% | 33% | 44% |
3 |
![]() Džiugas Telšiai |
36 | 11 | 31% | 22% | 39% |
4 |
![]() Hegelmann Litauen |
36 | 11 | 31% | 44% | 17% |
5 |
![]() Trakai |
36 | 10 | 28% | 28% | 28% |
6 |
![]() Banga |
36 | 8 | 22% | 22% | 22% |
7 |
![]() Sūduva |
36 | 7 | 19% | 11% | 28% |
8 |
![]() Kauno Žalgiris |
36 | 7 | 19% | 28% | 11% |
9 |
![]() FA Šiauliai |
36 | 7 | 19% | 17% | 22% |
10 |
![]() Panevėžys |
36 | 5 | 14% | 17% | 11% |
# | Team | MP | Over 1.5 | Overall | Home | Away |
---|
# | Team | MP | Over 1.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Žalgiris |
36 | 9 | 25% | 22% | 28% |
2 |
![]() Džiugas Telšiai |
36 | 8 | 22% | 11% | 33% |
3 |
![]() Jonava |
36 | 7 | 19% | 22% | 17% |
4 |
![]() Trakai |
36 | 5 | 14% | 17% | 11% |
5 |
![]() Hegelmann Litauen |
36 | 5 | 14% | 22% | 6% |
6 |
![]() Banga |
36 | 4 | 11% | 11% | 11% |
7 |
![]() FA Šiauliai |
36 | 4 | 11% | 11% | 11% |
8 |
![]() Sūduva |
36 | 3 | 8% | 11% | 6% |
9 |
![]() Panevėžys |
36 | 3 | 8% | 6% | 11% |
10 |
![]() Kauno Žalgiris |
36 | 2 | 6% | 6% | 6% |
# | Team | MP | Over 1.5 | Overall | Home | Away |
---|
# | Team | MP | Over 1.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Žalgiris |
36 | 4 | 11% | 11% | 11% |
2 |
![]() Džiugas Telšiai |
36 | 4 | 11% | 6% | 17% |
3 |
![]() Jonava |
36 | 2 | 6% | 0% | 11% |
4 |
![]() Kauno Žalgiris |
36 | 1 | 3% | 6% | 0% |
5 |
![]() Trakai |
36 | 1 | 3% | 6% | 0% |
6 |
![]() Banga |
36 | 1 | 3% | 6% | 0% |
7 |
![]() Hegelmann Litauen |
36 | 1 | 3% | 6% | 0% |
8 |
![]() Sūduva |
36 | 0 | 0% | 0% | 0% |
9 |
![]() Panevėžys |
36 | 0 | 0% | 0% | 0% |
10 |
![]() FA Šiauliai |
36 | 0 | 0% | 0% | 0% |
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Banga |
36 | 22 | 61% | 72% | 50% |
2 |
![]() Sūduva |
36 | 20 | 56% | 56% | 56% |
3 |
![]() FA Šiauliai |
36 | 20 | 56% | 61% | 50% |
4 |
![]() Panevėžys |
36 | 19 | 53% | 44% | 61% |
5 |
![]() Hegelmann Litauen |
36 | 19 | 53% | 44% | 61% |
6 |
![]() Trakai |
36 | 18 | 50% | 44% | 56% |
7 |
![]() Džiugas Telšiai |
36 | 18 | 50% | 61% | 39% |
8 |
![]() Kauno Žalgiris |
36 | 17 | 47% | 44% | 50% |
9 |
![]() Žalgiris |
36 | 14 | 39% | 33% | 44% |
10 |
![]() Jonava |
36 | 13 | 36% | 39% | 33% |
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() FA Šiauliai |
36 | 7 | 19% | 17% | 22% |
2 |
![]() Panevėžys |
36 | 4 | 11% | 0% | 22% |
3 |
![]() Žalgiris |
36 | 3 | 8% | 17% | 0% |
4 |
![]() Sūduva |
36 | 3 | 8% | 0% | 17% |
5 |
![]() Banga |
36 | 3 | 8% | 11% | 6% |
6 |
![]() Džiugas Telšiai |
36 | 3 | 8% | 17% | 0% |
7 |
![]() Hegelmann Litauen |
36 | 3 | 8% | 0% | 17% |
8 |
![]() Kauno Žalgiris |
36 | 2 | 6% | 11% | 0% |
9 |
![]() Trakai |
36 | 2 | 6% | 11% | 0% |
10 |
![]() Jonava |
36 | 0 | 0% | 0% | 0% |
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() FA Šiauliai |
36 | 14 | 39% | 39% | 39% |
2 |
![]() Panevėžys |
36 | 12 | 33% | 22% | 44% |
3 |
![]() Džiugas Telšiai |
36 | 11 | 31% | 44% | 17% |
4 |
![]() Trakai |
36 | 10 | 28% | 22% | 33% |
5 |
![]() Banga |
36 | 9 | 25% | 33% | 17% |
6 |
![]() Hegelmann Litauen |
36 | 9 | 25% | 11% | 39% |
7 |
![]() Žalgiris |
36 | 8 | 22% | 28% | 17% |
8 |
![]() Sūduva |
36 | 7 | 19% | 11% | 28% |
9 |
![]() Kauno Žalgiris |
36 | 7 | 19% | 22% | 17% |
10 |
![]() Jonava |
36 | 5 | 14% | 22% | 6% |
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Panevėžys |
36 | 31 | 86% | 83% | 89% |
2 |
![]() Sūduva |
36 | 29 | 81% | 89% | 72% |
3 |
![]() Kauno Žalgiris |
36 | 29 | 81% | 72% | 89% |
4 |
![]() FA Šiauliai |
36 | 29 | 81% | 83% | 78% |
5 |
![]() Banga |
36 | 28 | 78% | 78% | 78% |
6 |
![]() Trakai |
36 | 26 | 72% | 72% | 72% |
7 |
![]() Džiugas Telšiai |
36 | 25 | 69% | 78% | 61% |
8 |
![]() Hegelmann Litauen |
36 | 25 | 69% | 56% | 83% |
9 |
![]() Žalgiris |
36 | 22 | 61% | 67% | 56% |
10 |
![]() Jonava |
36 | 20 | 56% | 56% | 56% |
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Kauno Žalgiris |
36 | 34 | 94% | 94% | 94% |
2 |
![]() Sūduva |
36 | 33 | 92% | 89% | 94% |
3 |
![]() Panevėžys |
36 | 33 | 92% | 94% | 89% |
4 |
![]() Banga |
36 | 32 | 89% | 89% | 89% |
5 |
![]() FA Šiauliai |
36 | 32 | 89% | 89% | 89% |
6 |
![]() Trakai |
36 | 31 | 86% | 83% | 89% |
7 |
![]() Hegelmann Litauen |
36 | 31 | 86% | 78% | 94% |
8 |
![]() Jonava |
36 | 29 | 81% | 78% | 83% |
9 |
![]() Džiugas Telšiai |
36 | 28 | 78% | 89% | 67% |
10 |
![]() Žalgiris |
36 | 27 | 75% | 78% | 72% |
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|
# | Team | MP | Over 2.5 | Overall | Home | Away |
---|---|---|---|---|---|---|
1 |
![]() Sūduva |
36 | 36 | 100% | 100% | 100% |
2 |
![]() Panevėžys |
36 | 36 | 100% | 100% | 100% |
3 |
![]() FA Šiauliai |
36 | 36 | 100% | 100% | 100% |
4 |
![]() Kauno Žalgiris |
36 | 35 | 97% | 94% | 100% |
5 |
![]() Trakai |
36 | 35 | 97% | 94% | 100% |
6 |
![]() Banga |
36 | 35 | 97% | 94% | 100% |
7 |
![]() Hegelmann Litauen |
36 | 35 | 97% | 94% | 100% |
8 |
![]() Jonava |
36 | 34 | 94% | 100% | 89% |
9 |
![]() Žalgiris |
36 | 32 | 89% | 89% | 89% |
10 |
![]() Džiugas Telšiai |
36 | 32 | 89% | 94% | 83% |
You can check out how often Banga and Panevėžys matches in the A Lyga go over or under a certain number of goals on this page. This is a handy tool to help predict how many goals they could potentially score when they meet in their upcoming match.
Here is an example of what we mean:
75% of Banga’s matches in the A Lyga have had more than 1.5 goals scored. And when we raise the line of total goals to 2.5, then the rate of matches that go over that number is 39%.
You can also check how many times the total has gone under. In Panevėžys’s case, 33% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 53%.
You can also see whether Banga and Panevėžys matches go over or under a total number of goals when playing at home, away, or overall in A Lyga.
The over/under goal analysis for Banga vs Panevėžys offers valuable insights into each club's playing styles as well as a reasonable estimation of goals we could see in the match.
However, predicting the number of goals in a match does not always go the way the math says it will. It’s important to always consider other factors as well in order to get the best chance of making an accurate prediction.
Search
Most Popular search
No results found
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.