Šilas vs Lokomotyvas Radviliškis: result 3-0 and analysis
1 LygaRegular Season - 6Kick-off on May 18, 2014 at 02:00 PM (UTC)Prienų stadionas, Prienai
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What was the result of Šilas vs Lokomotyvas Radviliškis?
Šilas won 3-0 on May 18, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šilas have 9 wins, 1 draw and 5 defeats; Lokomotyvas Radviliškis have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2014 | Žalgirietis(home) | 0-4 | 1 Lyga |
| May 4, 2014 | Šilutė(home) | 3-2 | 1 Lyga |
| Apr 19, 2014 | Baltija(away) | 4-0 | 1 Lyga |
| Apr 13, 2014 | Palanga(away) | 4-0 | 1 Lyga |
| Oct 27, 2013 | FK Trakai(away) | 0-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2014 | Kauno Žalgiris(home) | 0-2 | 1 Lyga |
| May 3, 2014 | Jonava(home) | 0-1 | 1 Lyga |
| Apr 26, 2014 | Utenis Utena(home) | 0-2 | 1 Lyga |
| Apr 19, 2014 | Žalgirietis(away) | 3-2 | 1 Lyga |
| Apr 12, 2014 | Šilutė(home) | 0-1 | 1 Lyga |
What does the head-to-head say?
Across the last 2 meetings: 1 Šilas win, 1 draw, 0 Lokomotyvas Radviliškis wins.
| Date | Score | Competition |
|---|---|---|
| Sep 4, 2013 | Šilas 4-1 Lokomotyvas Radviliškis | 1 Lyga |
| May 16, 2013 | Lokomotyvas Radviliškis 2-2 Šilas | 1 Lyga |
Last archived meeting: Šilas vs Lokomotyvas Radviliškis on Sep 4, 2013
How many goals should we expect?
Šilas score 2.2 and concede 1.6 goals per match over their last 15; Lokomotyvas Radviliškis score 1.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šilas | 2.2 | 1.6 | 5 | 7/15 | 12/15 |
| Lokomotyvas Radviliškis | 1.9 | 2.2 | 2 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Šilas vs Lokomotyvas Radviliškis?
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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