Panevėžys vs Banga: result 0-1 and analysis
1 LygaRegular Season - 7Kick-off on May 14, 2017 at 11:00 AM (UTC)Žemynos progimnazijos stadionas, Panevėžys
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What was the result of Panevėžys vs Banga?
Banga won 0-1 on May 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panevėžys have 7 wins, 5 draws and 3 defeats; Banga have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Utenis II(away) | 4-0 | 1 Lyga |
| Apr 23, 2017 | Pakruojis(away) | 1-2 | 1 Lyga |
| Apr 14, 2017 | Stumbras II(away) | 1-1 | 1 Lyga |
| Apr 7, 2017 | Nevėžis(away) | 0-0 | 1 Lyga |
| Apr 2, 2017 | Koralas(home) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2017 | Tauras(home) | 3-2 | 1 Lyga |
| Apr 23, 2017 | Džiugas Telšiai(away) | 1-1 | 1 Lyga |
| Apr 14, 2017 | Vilniaus Vytis(home) | 0-2 | 1 Lyga |
| Apr 9, 2017 | Žalgiris II(away) | 1-0 | 1 Lyga |
| Mar 24, 2017 | Trakai II(home) | 2-0 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Panevėžys win, 1 draw, 0 Banga wins.
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2016 | Banga 1-1 Panevėžys | 1 Lyga |
| Apr 23, 2016 | Panevėžys 2-0 Banga | 1 Lyga |
How many goals should we expect?
Panevėžys score 2.4 and concede 1.3 goals per match over their last 15; Banga score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panevėžys | 2.4 | 1.3 | 4 | 11/15 | 11/15 |
| Banga | 0.9 | 1.2 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Panevėžys vs Banga?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy