Kražantė vs Lokomotyvas Radviliškis: result 2-3 and analysis
1 LygaRegular Season - 26Kick-off on September 25, 2016 at 09:00 AM (UTC)Kelmės miestas stadionas, Kelmė
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What was the result of Kražantė vs Lokomotyvas Radviliškis?
Lokomotyvas Radviliškis won 2-3 on September 25, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kražantė have 5 wins, 2 draws and 8 defeats; Lokomotyvas Radviliškis have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Kaunas(away) | 3-4 | 1 Lyga |
| Sep 11, 2016 | Palanga(home) | 0-2 | 1 Lyga |
| Sep 6, 2016 | Nevėžis(home) | 3-2 | 1 Lyga |
| Sep 3, 2016 | Dainava(away) | 0-0 | 1 Lyga |
| Aug 28, 2016 | Džiugas Telšiai(away) | 1-2 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Dainava(away) | 0-1 | 1 Lyga |
| Sep 10, 2016 | Trakai II(home) | 3-2 | 1 Lyga |
| Sep 6, 2016 | Banga(home) | 0-2 | 1 Lyga |
| Sep 2, 2016 | Hegelmann Litauen(away) | 1-2 | 1 Lyga |
| Aug 27, 2016 | Kaunas(home) | 6-2 | 1 Lyga |
What does the head-to-head say?
Across the last 3 meetings: 1 Kražantė win(s), 1 draw(s), 1 Lokomotyvas Radviliškis win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2016 | Lokomotyvas Radviliškis 3-3 Kražantė | 1 Lyga |
| Aug 29, 2015 | Kražantė 1-0 Lokomotyvas Radviliškis | 1 Lyga |
| May 16, 2015 | Lokomotyvas Radviliškis 3-0 Kražantė | 1 Lyga |
Last archived meeting: Lokomotyvas Radviliškis vs Kražantė on Jun 3, 2016
How many goals should we expect?
Kražantė score 1.9 and concede 2.7 goals per match over their last 15; Lokomotyvas Radviliškis score 1.3 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kražantė | 1.9 | 2.7 | 2 | 10/15 | 12/15 |
| Lokomotyvas Radviliškis | 1.3 | 3.3 | 0 | 9/15 | 13/15 |
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