Torpedo Mogilev vs Vertykal: result 2-3 and analysis
2. DivisionRegular Season - 8Kick-off on July 2, 2016 at 03:00 PM (UTC)
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What was the result of Torpedo Mogilev vs Vertykal?
Vertykal won 2-3 on July 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torpedo Mogilev have 6 wins, 2 draws and 7 defeats; Vertykal have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2016 | Volna(away) | 1-8 | 2. Division |
| Jun 19, 2016 | Dyussh-DSK(away) | 2-1 | 2. Division |
| Jun 4, 2016 | Neman-Agro(away) | 2-4 | 2. Division |
| May 28, 2016 | Kletsk(home) | 0-2 | 2. Division |
| May 21, 2016 | ML Vitebsk(away) | 1-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2016 | Victoria Maryina Gorka(home) | 3-1 | 2. Division |
| Jun 19, 2016 | Zabudova-2007(away) | 1-2 | 2. Division |
| May 28, 2016 | Osipovichy(away) | 1-2 | 2. Division |
| May 22, 2016 | Molodechno-DYuSSh 4(home) | 1-0 | 2. Division |
| May 8, 2016 | Montazhnik(away) | 2-1 | 2. Division |
How many goals should we expect?
Torpedo Mogilev score 1.6 and concede 2.1 goals per match over their last 15; Vertykal score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Mogilev | 1.6 | 2.1 | 4 | 8/15 | 10/15 |
| Vertykal | 1.7 | 1.7 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Vertykal | 21 | 11 | 2 | 8 | 63 | 39 | 35 |
A question about Torpedo Mogilev vs Vertykal?
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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