Naftan vs Slonim: result 0-0 and analysis
1. DivisionRegular Season - 2Kick-off on April 20, 2019 at 12:00 PM (UTC)Stadyen Atlant, Novopolotsk
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What was the result of Naftan vs Slonim?
Naftan and Slonim drew 0-0 on April 20, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naftan have 5 wins, 6 draws and 4 defeats; Slonim have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Lida(away) | 1-2 | 1. Division |
| Nov 10, 2018 | Volna(away) | 1-0 | 1. Division |
| Nov 3, 2018 | Slonim(home) | 0-0 | 1. Division |
| Oct 27, 2018 | Smorgon(away) | 1-1 | 1. Division |
| Oct 20, 2018 | Lokomotiv Gomel(home) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Khimik Svetlogorsk(away) | 0-0 | 1. Division |
| Nov 10, 2018 | Belshina(home) | 1-1 | 1. Division |
| Nov 3, 2018 | Naftan(away) | 0-0 | 1. Division |
| Oct 27, 2018 | YuA-Stroy-DYuSSh(home) | 0-0 | 1. Division |
| Oct 20, 2018 | Granit(away) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Naftan win(s), 1 draw(s), 1 Slonim win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2018 | Naftan 0-0 Slonim | 1. Division |
| Jul 7, 2018 | Slonim 1-0 Naftan | 1. Division |
How many goals should we expect?
Naftan score 0.9 and concede 0.9 goals per match over their last 15; Slonim score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naftan | 0.9 | 0.9 | 6 | 6/15 | 4/15 |
| Slonim | 0.9 | 1.4 | 6 | 7/15 | 8/15 |
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