Banga vs Žalgiris II: result 1-3 and analysis
1 LygaRegular Season - 28Kick-off on October 19, 2016 at 03:30 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Žalgiris II?
Žalgiris II won 1-3 on October 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 8 wins, 4 draws and 3 defeats; Žalgiris II have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Kaunas(away) | 0-2 | 1 Lyga |
| Sep 30, 2016 | Džiugas Telšiai(home) | 1-0 | 1 Lyga |
| Sep 24, 2016 | Nevėžis(away) | 0-1 | 1 Lyga |
| Sep 18, 2016 | Trakai II(away) | 1-0 | 1 Lyga |
| Sep 11, 2016 | Vilniaus Vytis(home) | 0-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Kražantė(away) | 1-1 | 1 Lyga |
| Oct 2, 2016 | Lokomotyvas Radviliškis(away) | 1-4 | 1 Lyga |
| Sep 27, 2016 | Vilniaus Vytis(home) | 1-6 | 1 Lyga |
| Sep 23, 2016 | Trakai II(home) | 0-2 | 1 Lyga |
| Sep 20, 2016 | Džiugas Telšiai(away) | 0-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Banga wins, 0 draws, 1 Žalgiris II win.
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2016 | Žalgiris II 0-5 Banga | 1 Lyga |
| Sep 26, 2015 | Žalgiris II 1-0 Banga | 1 Lyga |
| Jun 6, 2015 | Banga 3-2 Žalgiris II | 1 Lyga |
How many goals should we expect?
Banga score 1.9 and concede 0.9 goals per match over their last 15; Žalgiris II score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 1.9 | 0.9 | 8 | 4/15 | 6/15 |
| Žalgiris II | 1.8 | 1.9 | 4 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about Banga vs Žalgiris II?
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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