Minsk II vs Sputnik: result 2-1 and analysis
1. DivisionRegular Season - 30Kick-off on November 23, 2013 at 10:00 AM (UTC)Stadyen Tarpeda, Minsk
Full time
What was the result of Minsk II vs Sputnik?
Minsk II won 2-1 on November 23, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minsk II have 3 wins, 1 draws and 11 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 |
|---|---|---|---|
| Nov 16, 2013 | Smorgon(away) | 1-2 | 1. Division |
| Nov 9, 2013 | Khimik Svetlogorsk(home) | 2-3 | 1. Division |
| Nov 2, 2013 | Lida(away) | 0-2 | 1. Division |
| Oct 26, 2013 | FC Vitebsk(home) | 0-1 | 1. Division |
| Oct 19, 2013 | Granit(away) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2013 | Polotsk(away) | 5-1 | 1. Division |
| Nov 16, 2013 | Khimik Svetlogorsk(home) | 1-1 | 1. Division |
| Nov 9, 2013 | FC Vitebsk(away) | 1-2 | 1. Division |
| Nov 2, 2013 | Smolevichi-Sti(home) | 2-1 | 1. Division |
| Oct 26, 2013 | SKVICH(away) | 4-0 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Minsk II win(s), 0 draw(s), 1 Sputnik win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 3, 2013 | Sputnik 4-0 Minsk II | 1. Division |
How many goals should we expect?
Minsk II score 1.1 and concede 1.9 goals per match over their last 15; Sputnik score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minsk II | 1.1 | 1.9 | 2 | 8/15 | 12/15 |
| Sputnik | 2.1 | 1.1 | 6 | 8/15 | 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