Belshina vs Slonim: result 2-1 and analysis
1. DivisionRegular Season - 15Kick-off on July 14, 2018 at 11:00 AM (UTC)Stadyen Spartak, Shklov
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What was the result of Belshina vs Slonim?
Belshina won 2-1 on July 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belshina have 12 wins, 1 draws and 2 defeats; Slonim have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2018 | Smorgon(away) | 3-0 | 1. Division |
| Jun 30, 2018 | Lokomotiv Gomel(home) | 2-1 | 1. Division |
| Jun 23, 2018 | Slavia Mozyr(away) | 0-3 | 1. Division |
| Jun 17, 2018 | Khimik Svetlogorsk(home) | 2-0 | 1. Division |
| Jun 9, 2018 | Čist́(away) | 5-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2018 | Naftan(home) | 1-0 | 1. Division |
| Jun 30, 2018 | YuA-Stroy-DYuSSh(away) | 2-1 | 1. Division |
| Jun 23, 2018 | Granit(home) | 1-1 | 1. Division |
| Jun 17, 2018 | FC Energetik-Bgu Minsk(away) | 1-2 | 1. Division |
| Jun 9, 2018 | Volna(home) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Belshina win(s), 2 draw(s), 0 Slonim win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 28, 2017 | Slonim 1-1 Belshina | 1. Division |
| Jul 1, 2017 | Belshina 0-0 Slonim | 1. Division |
How many goals should we expect?
Belshina score 2.2 and concede 0.7 goals per match over their last 15; Slonim score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belshina | 2.2 | 0.7 | 7 | 6/15 | 8/15 |
| Slonim | 1.5 | 1.1 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Slonim | 12 | 7 | 2 | 3 | 21 | 10 | 23 |
| 5 | Slonim | 21 | 11 | 3 | 7 | 39 | 26 | 36 |
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