ML Vitebsk vs Torpedo Mogilev: result 0-1 and analysis
2. DivisionRegular Season - 3Kick-off on May 21, 2016 at 02:00 PM (UTC)Stadyen DYuSSh-1, Rohachev
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What was the result of ML Vitebsk vs Torpedo Mogilev?
Torpedo Mogilev won 0-1 on May 21, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ML Vitebsk have 3 wins, 5 draws and 7 defeats; Torpedo Mogilev have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | YuA-Stroy-DYuSSh(away) | 2-0 | 2. Division |
| May 7, 2016 | Victoria Maryina Gorka(away) | 3-2 | 2. Division |
| Apr 30, 2016 | Zabudova-2007(home) | 2-1 | 2. Division |
| Oct 3, 2015 | Krutogorye(away) | 3-3 | 2. Division |
| Sep 26, 2015 | Krutogorye(home) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2016 | YuA-Stroy-DYuSSh(home) | 4-0 | 2. Division |
| Apr 30, 2016 | Montazhnik(home) | 1-1 | 2. Division |
| Oct 3, 2015 | Volna(home) | 0-4 | 2. Division |
| Sep 26, 2015 | Volna(away) | 1-2 | 2. Division |
| Sep 19, 2015 | Molodechno-DYuSSh 4(home) | 0-1 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 ML Vitebsk win(s), 0 draw(s), 2 Torpedo Mogilev win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 5, 2015 | Torpedo Mogilev 3-0 ML Vitebsk | 2. Division |
| Jun 20, 2015 | ML Vitebsk 2-3 Torpedo Mogilev | 2. Division |
Last archived meeting: Torpedo Mogilev vs ML Vitebsk on Sep 5, 2015
How many goals should we expect?
ML Vitebsk score 1.2 and concede 2.0 goals per match over their last 15; Torpedo Mogilev score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ML Vitebsk | 1.2 | 2.0 | 1 | 9/15 | 7/15 |
| Torpedo Mogilev | 1.7 | 1.4 | 4 | 8/15 | 9/15 |
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