SKVICH vs Sputnik: result 0-4 and analysis
1. DivisionRegular Season - 26Kick-off on October 26, 2013 at 09:00 AM (UTC)SOK Olympijskij, Minsk
Full time
What was the result of SKVICH vs Sputnik?
Sputnik won 0-4 on October 26, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKVICH have 0 wins, 2 draws and 13 defeats; Sputnik have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2013 | Khimik Svetlogorsk(away) | 0-2 | 1. Division |
| Oct 12, 2013 | FC Vitebsk(home) | 1-2 | 1. Division |
| Oct 5, 2013 | Smolevichi-Sti(away) | 0-2 | 1. Division |
| Sep 28, 2013 | Minsk II(away) | 1-4 | 1. Division |
| Sep 21, 2013 | Slonim(home) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2013 | Slonim(home) | 0-0 | 1. Division |
| Oct 12, 2013 | Gorodeya(away) | 1-1 | 1. Division |
| Oct 5, 2013 | Byaroza 2010(home) | 2-2 | 1. Division |
| Sep 28, 2013 | Smorgon(away) | 0-0 | 1. Division |
| Sep 21, 2013 | Lida(home) | 3-3 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 SKVICH wins, 0 draws, 3 Sputnik wins.
| Date | Score | Competition |
|---|---|---|
| Jun 29, 2013 | Sputnik 3-0 SKVICH | 1. Division |
| Oct 20, 2012 | Sputnik 3-0 SKVICH | 1. Division |
| Jun 30, 2012 | SKVICH 0-1 Sputnik | 1. Division |
How many goals should we expect?
SKVICH score 0.3 and concede 2.1 goals per match over their last 15; Sputnik score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKVICH | 0.3 | 2.1 | 2 | 5/15 | 8/15 |
| Sputnik | 1.8 | 1.1 | 8 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about SKVICH vs Sputnik?
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