Lokomotyvas Radviliškis vs Banga: result 0-2 and analysis
1 LygaRegular Season - 18Kick-off on September 6, 2016 at 03:00 PM (UTC)Radviliškio miesto centrinis stadionas, Radviliškis
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What was the result of Lokomotyvas Radviliškis vs Banga?
Banga won 0-2 on September 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotyvas Radviliškis have 1 wins, 2 draws and 12 defeats; Banga have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2016 | Hegelmann Litauen(away) | 1-2 | 1 Lyga |
| Aug 27, 2016 | Kaunas(home) | 6-2 | 1 Lyga |
| Aug 21, 2016 | Panevėžys(away) | 1-3 | 1 Lyga |
| Aug 14, 2016 | Vilniaus Vytis(home) | 0-3 | 1 Lyga |
| Aug 10, 2016 | Džiugas Telšiai(home) | 1-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2016 | Šilutė(home) | 1-1 | 1 Lyga |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 1 Lokomotyvas Radviliškis win(s), 0 draw(s), 2 Banga win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 8, 2016 | Banga 1-2 Lokomotyvas Radviliškis | 1 Lyga |
| Oct 11, 2015 | Lokomotyvas Radviliškis 2-8 Banga | 1 Lyga |
| Jun 20, 2015 | Banga 2-0 Lokomotyvas Radviliškis | 1 Lyga |
Last archived meeting: Banga vs Lokomotyvas Radviliškis on Apr 8, 2016
How many goals should we expect?
Lokomotyvas Radviliškis score 1.5 and concede 3.6 goals per match over their last 15; Banga score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotyvas Radviliškis | 1.5 | 3.6 | 0 | 11/15 | 15/15 |
| Banga | 2.3 | 0.9 | 6 | 7/15 | 9/15 |
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