Khimik Svetlogorsk vs Naftan: result 0-4 and analysis
1. DivisionRegular Season - 15Kick-off on July 20, 2019 at 02:00 PM (UTC)Stadyen Bumashnik, Svietlahorsk
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What was the result of Khimik Svetlogorsk vs Naftan?
Naftan won 0-4 on July 20, 2019.
Goalscorers
- 8′D. TameloNaftan (pen.)
- 38′Aleksandr KrasiyNaftan
- 48′D. TameloNaftan
- 77′Vyacheslav GolikNaftan (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimik Svetlogorsk have 6 wins, 1 draws and 8 defeats; Naftan have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2019 | Baranovichi(away) | 3-1 | 1. Division |
| Jul 6, 2019 | Lokomotiv Gomel(home) | 0-3 | 1. Division |
| Jun 22, 2019 | Smorgon(home) | 4-0 | 1. Division |
| Jun 15, 2019 | Ruh Brest(away) | 1-8 | 1. Division |
| Jun 12, 2019 | Oshmyany(away) | 1-2 | Coppa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2019 | Orsha(home) | 2-4 | 1. Division |
| Jul 6, 2019 | Baranovichi(away) | 2-1 | 1. Division |
| Jun 29, 2019 | Belshina(home) | 1-5 | 1. Division |
| Jun 22, 2019 | Lokomotiv Gomel(away) | 1-2 | 1. Division |
| Jun 15, 2019 | Sputnik(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Khimik Svetlogorsk win(s), 1 draw(s), 1 Naftan win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | Naftan 1-0 Khimik Svetlogorsk | 1. Division |
| Jun 9, 2018 | Khimik Svetlogorsk 2-2 Naftan | 1. Division |
Last archived meeting: Naftan vs Khimik Svetlogorsk on Oct 6, 2018
How many goals should we expect?
Khimik Svetlogorsk score 1.3 and concede 2.2 goals per match over their last 15; Naftan score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik Svetlogorsk | 1.3 | 2.2 | 5 | 4/15 | 12/15 |
| Naftan | 1.6 | 1.3 | 6 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
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