Zabudova-2007 vs Torpedo Mogilev: result 1-2 and analysis
2. DivisionMatchday 25Kick-off on October 30, 2016 at 11:00 AM (UTC)Stadyen Škol'nyj, Chist'
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What was the result of Zabudova-2007 vs Torpedo Mogilev?
Torpedo Mogilev won 1-2 on October 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zabudova-2007 have 7 wins, 4 draws and 4 defeats; Torpedo Mogilev 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 |
|---|---|---|---|
| Oct 22, 2016 | Viktoriya Maryina Horka(away) | 1-3 | 2. Division |
| Oct 16, 2016 | Montazhnik(home) | 3-0 | 2. Division |
| Oct 1, 2016 | Osipovichy(away) | 1-4 | 2. Division |
| Sep 24, 2016 | Molodechno-DYuSSh 4(home) | 1-1 | 2. Division |
| Sep 18, 2016 | Vertykal(away) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Osipovichy(away) | 2-6 | 2. Division |
| Oct 8, 2016 | Molodechno-DYuSSh 4(home) | 1-2 | 2. Division |
| Oct 1, 2016 | Vertykal(away) | 1-1 | 2. Division |
| Sep 24, 2016 | Volna(home) | 2-4 | 2. Division |
| Sep 18, 2016 | Dyussh-DSK(home) | 0-3 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Zabudova-2007 wins, 1 draw, 0 Torpedo Mogilev wins.
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2016 | Torpedo Mogilev 0-0 Zabudova-2007 | 2. Division |
Last archived meeting: Torpedo Mogilev vs Zabudova-2007 on Jul 30, 2016
How many goals should we expect?
Zabudova-2007 score 1.6 and concede 1.3 goals per match over their last 15; Torpedo Mogilev score 1.6 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zabudova-2007 | 1.6 | 1.3 | 6 | 9/15 | 10/15 |
| Torpedo Mogilev | 1.6 | 2.5 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Zabudova-2007 vs Torpedo Mogilev?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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