Osipovichy vs SKVICH: result 4-1 and analysis
2. DivisionGroup A - 21Kick-off on September 13, 2014 at 01:00 PM (UTC)Stadyen Junatstva, Kobrin
Full time
What was the result of Osipovichy vs SKVICH?
Osipovichy won 4-1 on September 13, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Osipovichy have 6 wins, 2 draws and 7 defeats; SKVICH have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Feniks(away) | 2-1 | 2. Division |
| Aug 31, 2014 | Zhlobin(home) | 1-4 | 2. Division |
| Aug 24, 2014 | ML Vitebsk(away) | 0-1 | 2. Division |
| Aug 17, 2014 | Spartak(home) | 0-2 | 2. Division |
| Aug 10, 2014 | Orsha(away) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2014 | Vertykal(home) | 1-3 | 2. Division |
| Aug 31, 2014 | Fc Luch Minsk(away) | 0-2 | 2. Division |
| Aug 23, 2014 | Slavianin(away) | 3-3 | 2. Division |
| Aug 17, 2014 | Feniks(home) | 0-5 | 2. Division |
| Aug 10, 2014 | Zhlobin(away) | 0-7 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Osipovichy win, 0 draws, 0 SKVICH wins.
| Date | Score | Competition |
|---|---|---|
| Jul 5, 2014 | SKVICH 1-2 Osipovichy | 2. Division |
How many goals should we expect?
Osipovichy score 1.1 and concede 1.2 goals per match over their last 15; SKVICH score 1.1 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Osipovichy | 1.1 | 1.2 | 3 | 7/15 | 6/15 |
| SKVICH | 1.1 | 3.5 | 1 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Osipovichy vs SKVICH?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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