Polonija vs Lokomotyvas Radviliškis: result 1-5 and analysis
1 LygaRelegation Round - 1Kick-off on September 29, 2013 at 12:00 PM (UTC)Radviliškio miesto centrinis stadionas, Radviliškis
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What was the result of Polonija vs Lokomotyvas Radviliškis?
Lokomotyvas Radviliškis won 1-5 on September 29, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Polonija have 3 wins, 1 draws and 11 defeats; Lokomotyvas Radviliškis have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2013 | Granitas Klaipėda(home) | 1-5 | 1 Lyga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2013 | Palanga(home) | 3-0 | 1 Lyga |
| Sep 15, 2013 | Baltija(home) | 1-3 | 1 Lyga |
| Sep 7, 2013 | Žalgirietis(away) | 0-3 | 1 Lyga |
| Sep 4, 2013 | Šilas(away) | 1-4 | 1 Lyga |
| Sep 1, 2013 | Granitas Klaipėda(away) | 2-5 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Polonija win(s), 0 draw(s), 2 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 2, 2013 | Lokomotyvas Radviliškis 3-2 Polonija | 1 Lyga |
| Apr 20, 2013 | Polonija 0-5 Lokomotyvas Radviliškis | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Polonija on Jul 2, 2013
How many goals should we expect?
Polonija score 1.3 and concede 3.3 goals per match over their last 15; Lokomotyvas Radviliškis score 1.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Polonija | 1.3 | 3.3 | 1 | 11/15 | 12/15 |
| Lokomotyvas Radviliškis | 1.7 | 2.0 | 4 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy