Lokomotyvas Radviliškis vs MRU: result 3-1 and analysis
1 LygaRegular Season - 21Kick-off on August 8, 2015 at 10:00 AM (UTC)Radviliškio miesto centrinis stadionas, Radviliškis
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What was the result of Lokomotyvas Radviliškis vs MRU?
Lokomotyvas Radviliškis won 3-1 on August 8, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotyvas Radviliškis have 6 wins, 1 draw and 8 defeats; MRU have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2015 | Tauras(home) | 0-1 | 1 Lyga |
| Jul 28, 2015 | Kruoja II(away) | 3-0 | 1 Lyga |
| Jul 6, 2015 | Palanga(away) | 3-0 | 1 Lyga |
| Jul 3, 2015 | Šilutė(away) | 1-3 | 1 Lyga |
| Jun 28, 2015 | Kaunas(home) | 3-3 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2015 | Kražantė(away) | 0-1 | 1 Lyga |
| Jul 28, 2015 | Jonava(away) | 1-4 | 1 Lyga |
| Jul 6, 2015 | Auska(away) | 1-2 | 1 Lyga |
| Jul 3, 2015 | Kruoja II(away) | 2-0 | 1 Lyga |
| Jun 28, 2015 | Banga(away) | 1-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 0 Lokomotyvas Radviliškis wins, 0 draws, 3 MRU wins.
| Date | Score | Competition |
|---|---|---|
| Apr 19, 2015 | MRU 3-1 Lokomotyvas Radviliškis | 1 Lyga |
| Aug 15, 2014 | MRU 4-1 Lokomotyvas Radviliškis | 1 Lyga |
| May 30, 2014 | Lokomotyvas Radviliškis 1-2 MRU | 1 Lyga |
Last archived meeting: MRU vs Lokomotyvas Radviliškis on Apr 19, 2015
How many goals should we expect?
Lokomotyvas Radviliškis score 1.9 and concede 1.9 goals per match over their last 15; MRU score 1.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotyvas Radviliškis | 1.9 | 1.9 | 6 | 6/15 | 12/15 |
| MRU | 1.3 | 2.1 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Lokomotyvas Radviliškis vs MRU?
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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