Šilas vs Kaunas: result 4-0 and analysis
1 LygaRegular Season - 17Kick-off on July 29, 2016 at 04:00 PM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Kaunas?
Šilas won 4-0 on July 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 12 wins, 1 draw and 2 defeats; Kaunas have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2016 | Banga(away) | 0-4 | 1 Lyga |
| Jun 23, 2016 | Lokomotyvas Radviliškis(away) | 6-2 | 1 Lyga |
| Jun 17, 2016 | Hegelmann Litauen(away) | 1-0 | 1 Lyga |
| Jun 8, 2016 | Šilutė(away) | 4-1 | 1 Lyga |
| Jun 4, 2016 | Palanga(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2016 | Palanga(away) | 0-6 | 1 Lyga |
| Jul 2, 2016 | Džiugas Telšiai(home) | 0-4 | 1 Lyga |
| Jun 28, 2016 | Nevėžis(away) | 1-7 | 1 Lyga |
| Jun 24, 2016 | Banga(away) | 0-3 | 1 Lyga |
| Jun 18, 2016 | Panevėžys(home) | 1-3 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 3 Šilas wins, 0 draws, 0 Kaunas wins.
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2016 | Kaunas 1-6 Šilas | 1 Lyga |
| Oct 3, 2015 | Šilas 1-0 Kaunas | 1 Lyga |
| Jun 11, 2015 | Kaunas 1-4 Šilas | 1 Lyga |
How many goals should we expect?
Šilas score 3.3 and concede 1.1 goals per match over their last 15; Kaunas score 0.7 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 3.3 | 1.1 | 5 | 9/15 | 12/15 |
| Kaunas | 0.7 | 3.9 | 2 | 6/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Šilas vs Kaunas?
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