Polonija vs Granitas Klaipėda: result 1-5 and analysis
1 LygaMatchday 22Kick-off on September 22, 2013 at 12:00 PM (UTC)Radviliškio miesto centrinis stadionas, Radviliškis
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What was the result of Polonija vs Granitas Klaipėda?
Granitas Klaipėda won 1-5 on September 22, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Polonija have 3 wins, 1 draw and 11 defeats; Granitas Klaipėda have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2013 | Šilas(home) | 4-2 | 1 Lyga |
| Sep 8, 2013 | Kauno Žalgiris(away) | 2-5 | 1 Lyga |
| Aug 31, 2013 | Jonava(home) | 1-2 | 1 Lyga |
| Aug 24, 2013 | FK Trakai(home) | 1-4 | 1 Lyga |
| Aug 17, 2013 | Nevėžis(home) | 1-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2013 | Šilutė(away) | 2-0 | 1 Lyga |
| Sep 7, 2013 | Palanga(away) | 2-2 | 1 Lyga |
| Sep 1, 2013 | Lokomotyvas Radviliškis(home) | 5-2 | 1 Lyga |
| Aug 25, 2013 | Baltija(home) | 7-2 | 1 Lyga |
| Aug 18, 2013 | Žalgirietis(home) | 2-1 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Polonija wins, 0 draws, 1 Granitas Klaipėda win.
| Date | Score | Competition |
|---|---|---|
| Jun 23, 2013 | Granitas Klaipėda 8-2 Polonija | 1 Lyga |
Last archived meeting: Granitas Klaipėda vs Polonija on Jun 23, 2013
How many goals should we expect?
Polonija score 1.3 and concede 3.1 goals per match over their last 15; Granitas Klaipėda score 2.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Polonija | 1.3 | 3.1 | 1 | 11/15 | 12/15 |
| Granitas Klaipėda | 2.8 | 1.1 | 5 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Polonija vs Granitas Klaipėda?
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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