Šilas vs Kauno Žalgiris: result 0-2 and analysis
1 LygaRegular Season - 8Kick-off on May 25, 2014 at 02:30 PM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Kauno Žalgiris?
Kauno Žalgiris won 0-2 on May 25, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 8 wins, 2 draws and 5 defeats; Kauno Žalgiris 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 21, 2014 | Jonava(away) | 0-0 | 1 Lyga |
| May 18, 2014 | Lokomotyvas Radviliškis(home) | 3-0 | 1 Lyga |
| May 12, 2014 | Žalgirietis(home) | 0-4 | 1 Lyga |
| May 4, 2014 | Šilutė(home) | 3-2 | 1 Lyga |
| Apr 19, 2014 | Baltija(away) | 4-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2014 | Utenis Utena(home) | 1-1 | 1 Lyga |
| May 18, 2014 | Jonava(home) | 1-2 | 1 Lyga |
| May 10, 2014 | Lokomotyvas Radviliškis(away) | 2-0 | 1 Lyga |
| May 1, 2014 | Žalgirietis(home) | 3-1 | 1 Lyga |
| Apr 26, 2014 | Šilutė(away) | 2-0 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 2 Šilas wins, 0 draws, 1 Kauno Žalgiris win.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2013 | Šilas 3-0 Kauno Žalgiris | 1 Lyga |
| Jul 8, 2013 | Šilas 2-0 Kauno Žalgiris | 1 Lyga |
| Apr 26, 2013 | Kauno Žalgiris 4-1 Šilas | 1 Lyga |
Last archived meeting: Šilas vs Kauno Žalgiris on Oct 13, 2013
How many goals should we expect?
Šilas score 2.0 and concede 1.5 goals per match over their last 15; Kauno Žalgiris score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.0 | 1.5 | 7 | 5/15 | 11/15 |
| Kauno Žalgiris | 1.5 | 2.0 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Šilas vs Kauno Žalgiris?
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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