Banga vs Šilutė: result 1-1 and analysis
1 LygaRegular Season - 23Kick-off on September 2, 2016 at 05:00 PM (UTC)Gargždų miesto stadionas, Gargždai
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What was the result of Banga vs Šilutė?
Banga and Šilutė drew 1-1 on September 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banga have 9 wins, 4 draws and 2 defeats; Šilutė have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Palanga(away) | 0-0 | 1 Lyga |
| Aug 19, 2016 | Hegelmann Litauen(home) | 3-2 | 1 Lyga |
| Aug 13, 2016 | Panevėžys(home) | 1-1 | 1 Lyga |
| Aug 10, 2016 | Minija(away) | 6-0 | 1 Lyga |
| Jul 29, 2016 | Kražantė(home) | 6-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Dainava(home) | 0-2 | 1 Lyga |
| Aug 14, 2016 | Žalgiris II(away) | 1-3 | 1 Lyga |
| Aug 10, 2016 | Kaunas(home) | 3-1 | 1 Lyga |
| Jul 31, 2016 | Trakai II(home) | 1-3 | 1 Lyga |
| Jul 6, 2016 | Panevėžys(home) | 1-1 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Banga wins, 0 draws, 1 Šilutė win.
| Date | Score | Competition |
|---|---|---|
| May 14, 2016 | Šilutė 1-0 Banga | 1 Lyga |
| Aug 22, 2015 | Šilutė 0-1 Banga | 1 Lyga |
| May 10, 2015 | Banga 2-1 Šilutė | 1 Lyga |
How many goals should we expect?
Banga score 2.4 and concede 0.8 goals per match over their last 15; Šilutė score 1.1 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banga | 2.4 | 0.8 | 7 | 6/15 | 9/15 |
| Šilutė | 1.1 | 2.6 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Banga vs Šilutė?
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