Krnov vs Beskyd Frenštát: result 1-1 and analysis
4. liga - Divizie FDivision F - 17Kick-off on April 7, 2023 at 02:00 PM (UTC)Klaus Union Arena, Krnov
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What was the result of Krnov vs Beskyd Frenštát?
Krnov and Beskyd Frenštát drew 1-1 on April 7, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krnov have 6 wins, 3 draws and 6 defeats; Beskyd Frenštát have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Nový Jičín(away) | 1-2 | 4. liga - Divizie F |
| Mar 26, 2023 | Valašské Meziříčí(home) | 2-2 | 4. liga - Divizie F |
| Mar 19, 2023 | Slavoj Olympia Bruntál(away) | 0-1 | 4. liga - Divizie F |
| Mar 4, 2023 | Viktoria Otrokovice(away) | 0-3 | Friendlies Clubs |
| Oct 28, 2022 | Havířov(away) | 2-0 | 4. liga - Divizie F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2023 | Bílovec(home) | 2-1 | 4. liga - Divizie F |
| Mar 25, 2023 | Jiskra Rýmařov(away) | 0-2 | 4. liga - Divizie F |
| Mar 19, 2023 | Karviná II(away) | 0-4 | 4. liga - Divizie F |
| Nov 5, 2022 | Polanka nad Odrou(home) | 1-2 | 4. liga - Divizie F |
| Oct 29, 2022 | Nový Jičín(away) | 1-5 | 4. liga - Divizie F |
What does the head-to-head say?
Across the last 1 meetings: 1 Krnov win(s), 0 draw(s), 0 Beskyd Frenštát win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2022 | Beskyd Frenštát 1-2 Krnov | 4. liga - Divizie F |
Last archived meeting: Beskyd Frenštát vs Krnov on Aug 28, 2022
How many goals should we expect?
Krnov score 1.2 and concede 1.6 goals per match over their last 15; Beskyd Frenštát score 1.1 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krnov | 1.2 | 1.6 | 3 | 8/15 | 9/15 |
| Beskyd Frenštát | 1.1 | 2.4 | 1 | 12/15 | 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