Džiugas Telšiai vs Lokomotyvas Radviliškis: result 3-0 and analysis
1 LygaRegular Season - 4Kick-off on April 16, 2016 at 11:00 AM (UTC)Telšių centrinis stadionas, Telšiai
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What was the result of Džiugas Telšiai vs Lokomotyvas Radviliškis?
Džiugas Telšiai won 3-0 on April 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Džiugas Telšiai have 6 wins, 1 draws and 8 defeats; Lokomotyvas Radviliškis have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Šilas(home) | 0-5 | 1 Lyga |
| Apr 2, 2016 | Nevėžis(away) | 1-2 | 1 Lyga |
| Mar 26, 2016 | Trakai II(home) | 3-0 | 1 Lyga |
| Oct 31, 2015 | Jonava(away) | 0-2 | 1 Lyga |
| Oct 24, 2015 | Šilutė(away) | 2-0 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2016 | Banga(away) | 2-1 | 1 Lyga |
| Apr 2, 2016 | Palanga(home) | 1-3 | 1 Lyga |
| Mar 26, 2016 | Nevėžis(home) | 1-1 | 1 Lyga |
| Oct 31, 2015 | Šilutė(home) | 1-3 | 1 Lyga |
| Oct 25, 2015 | Kaunas(away) | 4-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 0 Džiugas Telšiai win(s), 1 draw(s), 1 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2015 | Lokomotyvas Radviliškis 0-0 Džiugas Telšiai | 1 Lyga |
| Jun 6, 2015 | Džiugas Telšiai 0-5 Lokomotyvas Radviliškis | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Džiugas Telšiai on Sep 26, 2015
How many goals should we expect?
Džiugas Telšiai score 1.3 and concede 1.4 goals per match over their last 15; Lokomotyvas Radviliškis score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Džiugas Telšiai | 1.3 | 1.4 | 6 | 5/15 | 9/15 |
| Lokomotyvas Radviliškis | 1.7 | 2.3 | 3 | 10/15 | 11/15 |
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