Banga vs Panevėžys: result 6-4 and analysis
1 LygaRegular Season - 22Kick-off on August 23, 2017 at 05:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Panevėžys?
Banga won 6-4 on August 23, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 10 wins, 2 draws and 3 defeats; Panevėžys have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2017 | Tauras(away) | 2-1 | 1 Lyga |
| Aug 11, 2017 | Džiugas Telšiai(home) | 2-0 | 1 Lyga |
| Aug 8, 2017 | Vilniaus Vytis(away) | 1-0 | 1 Lyga |
| Aug 4, 2017 | Žalgiris II(home) | 5-1 | 1 Lyga |
| Jul 9, 2017 | Trakai II(away) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2017 | Utenis II(home) | 1-0 | 1 Lyga |
| Aug 13, 2017 | Pakruojis(home) | 1-0 | 1 Lyga |
| Aug 8, 2017 | Stumbras II(home) | 1-1 | 1 Lyga |
| Aug 5, 2017 | Nevėžis(home) | 1-3 | 1 Lyga |
| Jul 29, 2017 | Koralas(away) | 1-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Banga win, 1 draw, 1 Panevėžys win.
| Date | Score | Competition |
|---|---|---|
| May 14, 2017 | Panevėžys 0-1 Banga | 1 Lyga |
| Aug 13, 2016 | Banga 1-1 Panevėžys | 1 Lyga |
| Apr 23, 2016 | Panevėžys 2-0 Banga | 1 Lyga |
How many goals should we expect?
Banga score 1.8 and concede 0.9 goals per match over their last 15; Panevėžys score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 1.8 | 0.9 | 6 | 8/15 | 7/15 |
| Panevėžys | 1.3 | 1.2 | 4 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Banga vs Panevėžys?
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