Hegelmann Litauen vs Lokomotyvas Radviliškis: result 2-1 and analysis
1 LygaRegular Season - 23Kick-off on September 2, 2016 at 04:00 PM (UTC)S. Dariaus ir S. Gireno stadionas, Kaunas
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What was the result of Hegelmann Litauen vs Lokomotyvas Radviliškis?
Hegelmann Litauen won 2-1 on September 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hegelmann Litauen have 8 wins, 1 draws and 6 defeats; Lokomotyvas Radviliškis have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Trakai II(home) | 4-2 | 1 Lyga |
| Aug 19, 2016 | Banga(away) | 2-3 | 1 Lyga |
| Aug 14, 2016 | Džiugas Telšiai(away) | 1-0 | 1 Lyga |
| Aug 9, 2016 | Palanga(away) | 0-4 | 1 Lyga |
| Aug 5, 2016 | Kražantė(away) | 5-1 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jul 30, 2016 | Palanga(away) | 0-7 | 1 Lyga |
What does the head-to-head say?
Across the last 1 meetings: 0 Hegelmann Litauen win(s), 1 draw(s), 0 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| May 14, 2016 | Lokomotyvas Radviliškis 2-2 Hegelmann Litauen | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Hegelmann Litauen on May 14, 2016
How many goals should we expect?
Hegelmann Litauen score 2.1 and concede 1.9 goals per match over their last 15; Lokomotyvas Radviliškis score 1.4 and concede 3.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hegelmann Litauen | 2.1 | 1.9 | 3 | 9/15 | 12/15 |
| Lokomotyvas Radviliškis | 1.4 | 3.6 | 0 | 10/15 | 14/15 |
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