Dnepr Mogilev II vs Smolevichy: result 0-4 and analysis
2. DivisionMatchday 28Kick-off on September 16, 2012 at 01:00 PM (UTC)Stadion SDYuShOR-7, Mogilev
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What was the result of Dnepr Mogilev II vs Smolevichy?
Smolevichy won 0-4 on September 16, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dnepr Mogilev II have 6 wins, 3 draws and 6 defeats; Smolevichy have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2012 | Osipovichy(away) | 5-3 | 2. Division |
| Sep 8, 2012 | Miory(home) | 2-2 | 2. Division |
| Aug 31, 2012 | Zabudova-2007(away) | 2-3 | 2. Division |
| Aug 25, 2012 | Slonim(home) | 1-1 | 2. Division |
| Aug 18, 2012 | Neman Mosty(away) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2012 | MOFK(home) | 7-0 | 2. Division |
| Sep 8, 2012 | Zorka-BDU(away) | 2-0 | 2. Division |
| Aug 31, 2012 | Minsk II(home) | 1-1 | 2. Division |
| Aug 25, 2012 | BelCard(away) | 2-2 | 2. Division |
| Aug 22, 2012 | FC Isloch Minsk R.(home) | 0-0 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Dnepr Mogilev II wins, 0 draws, 1 Smolevichy win.
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2012 | Smolevichy 6-0 Dnepr Mogilev II | 2. Division |
Last archived meeting: Smolevichy vs Dnepr Mogilev II on Jun 3, 2012
How many goals should we expect?
Dnepr Mogilev II score 1.5 and concede 1.4 goals per match over their last 15; Smolevichy score 2.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dnepr Mogilev II | 1.5 | 1.4 | 5 | 6/15 | 6/15 |
| Smolevichy | 2.9 | 0.7 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
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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