Beskyd Frenštát vs Krnov: result 0-1 and analysis
4. liga - Divizie FDivision F - 1Kick-off on August 22, 2023 at 04:00 PM (UTC)Stadion Na Nivách, Frenštát pod Radhoštěm
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What was the result of Beskyd Frenštát vs Krnov?
Krnov won 0-1 on August 22, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Beskyd Frenštát have 2 wins, 6 draws and 7 defeats; Krnov have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2023 | Břidličná(away) | 1-1 | 4. liga - Divizie F |
| Aug 13, 2023 | Valašské Meziříčí(home) | 2-2 | 4. liga - Divizie F |
| Jul 29, 2023 | Vítkovice(home) | 1-2 | Cup |
| Jul 22, 2023 | Vratimov(away) | 6-2 | Cup |
| Jun 12, 2023 | Nový Jičín(home) | 2-4 | 4. liga - Divizie F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2023 | Valašské Meziříčí(away) | 3-2 | 4. liga - Divizie F |
| Aug 13, 2023 | Vítkovice(home) | 4-0 | 4. liga - Divizie F |
| Jul 29, 2023 | Jiskra Rýmařov(away) | 2-3 | Cup |
| Jun 9, 2023 | Havířov(home) | 3-0 | 4. liga - Divizie F |
| Jun 3, 2023 | Unie Hlubina(away) | 1-3 | 4. liga - Divizie F |
What does the head-to-head say?
Across the last 2 meetings: 0 Beskyd Frenštát win(s), 1 draw(s), 1 Krnov win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2023 | Krnov 1-1 Beskyd Frenštát | 4. liga - Divizie F |
| Aug 28, 2022 | Beskyd Frenštát 1-2 Krnov | 4. liga - Divizie F |
Last archived meeting: Krnov vs Beskyd Frenštát on Apr 7, 2023
How many goals should we expect?
Beskyd Frenštát score 1.5 and concede 2.2 goals per match over their last 15; Krnov score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Beskyd Frenštát | 1.5 | 2.2 | 1 | 13/15 | 10/15 |
| Krnov | 1.7 | 1.5 | 4 | 10/15 | 11/15 |
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