FC Dnepr Mogilev vs Oshmyany: result 5-4 and analysis
1. DivisionRegular Season - 10Kick-off on June 25, 2016 at 02:00 PM (UTC)Stadyen Spartak, Mogilev
Full time
What was the result of FC Dnepr Mogilev vs Oshmyany?
FC Dnepr Mogilev won 5-4 on June 25, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Dnepr Mogilev have 9 wins, 1 draw and 5 defeats; Oshmyany have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2016 | Lokomotiv Gomel(away) | 4-1 | 1. Division |
| Jun 4, 2016 | Smorgon(home) | 4-0 | 1. Division |
| May 29, 2016 | Torpedo Minsk(away) | 1-1 | 1. Division |
| May 21, 2016 | Smolevichi-Sti(home) | 4-2 | 1. Division |
| May 14, 2016 | Zorka-BDU(away) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Orsha(home) | 1-4 | 1. Division |
| Jun 5, 2016 | Baranovichi(away) | 0-1 | 1. Division |
| May 29, 2016 | Lokomotiv Gomel(away) | 0-2 | 1. Division |
| May 22, 2016 | Smorgon(home) | 1-0 | 1. Division |
| May 14, 2016 | Torpedo Minsk(home) | 0-1 | 1. Division |
How many goals should we expect?
FC Dnepr Mogilev score 1.7 and concede 1.0 goals per match over their last 15; Oshmyany score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Dnepr Mogilev | 1.7 | 1.0 | 5 | 7/15 | 8/15 |
| Oshmyany | 0.8 | 1.8 | 3 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | FC Dnepr Mogilev | 34 | 20 | 7 | 7 | 59 | 37 | 67 |
A question about FC Dnepr Mogilev vs Oshmyany?
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