Banga vs Kražantė: result 6-2 and analysis
1 LygaRegular Season - 17Kick-off on July 29, 2016 at 05:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Kražantė?
Banga won 6-2 on July 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 8 wins, 3 draws and 4 defeats; Kražantė have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2016 | Dainava(away) | 0-0 | 1 Lyga |
| Jul 1, 2016 | Šilas(home) | 4-0 | 1 Lyga |
| Jun 24, 2016 | Kaunas(home) | 3-0 | 1 Lyga |
| Jun 18, 2016 | Žalgiris II(away) | 5-0 | 1 Lyga |
| Jun 8, 2016 | Džiugas Telšiai(away) | 2-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2016 | Šilutė(away) | 3-2 | 1 Lyga |
| Jun 25, 2016 | Žalgiris II(away) | 0-3 | 1 Lyga |
| Jun 19, 2016 | Trakai II(home) | 0-2 | 1 Lyga |
| Jun 8, 2016 | Vilniaus Vytis(home) | 5-3 | 1 Lyga |
| Jun 3, 2016 | Lokomotyvas Radviliškis(away) | 3-3 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Banga wins, 1 draw, 0 Kražantė wins.
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2016 | Kražantė 0-2 Banga | 1 Lyga |
| Oct 4, 2015 | Banga 3-0 Kražantė | 1 Lyga |
| Jun 13, 2015 | Kražantė 0-0 Banga | 1 Lyga |
How many goals should we expect?
Banga score 2.1 and concede 0.8 goals per match over their last 15; Kražantė score 1.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 2.1 | 0.8 | 7 | 5/15 | 8/15 |
| Kražantė | 1.5 | 2.5 | 2 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Banga vs Kražantė?
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