Minsk II vs Gorodeya: result 1-2 and analysis
1. DivisionRegular Season - 18Kick-off on September 7, 2013 at 01:00 PM (UTC)Stadyen Tarpeda, Minsk
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What was the result of Minsk II vs Gorodeya?
Gorodeya won 1-2 on September 7, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minsk II have 3 wins, 3 draws and 9 defeats; Gorodeya have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | FC Slutsk(away) | 1-3 | 1. Division |
| Aug 24, 2013 | Byaroza 2010(away) | 0-3 | 1. Division |
| Aug 3, 2013 | Sputnik(away) | 0-4 | 1. Division |
| Jul 20, 2013 | Smorgon(home) | 1-0 | 1. Division |
| Jul 13, 2013 | Khimik Svetlogorsk(away) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2013 | Byaroza 2010(home) | 3-1 | 1. Division |
| Aug 17, 2013 | Smorgon(away) | 1-2 | 1. Division |
| Aug 3, 2013 | Lida(away) | 2-0 | 1. Division |
| Jul 20, 2013 | Granit(home) | 2-2 | 1. Division |
| Jul 13, 2013 | FC Isloch Minsk R.(away) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Minsk II win(s), 0 draw(s), 1 Gorodeya win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2013 | Gorodeya 2-0 Minsk II | 1. Division |
How many goals should we expect?
Minsk II score 0.8 and concede 1.7 goals per match over their last 15; Gorodeya score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minsk II | 0.8 | 1.7 | 4 | 5/15 | 6/15 |
| Gorodeya | 2.5 | 1.3 | 2 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Minsk II | 21 | 9 | 2 | 10 | 29 | 36 | 29 |
| 17 | Minsk II | 12 | 3 | 1 | 8 | 11 | 26 | 10 |
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