Beskyd Frenštát vs Valašské Meziříčí: result 3-1 and analysis
4. liga - Divizie FDivision F - 12Kick-off on October 23, 2022 at 12:30 PM (UTC)Stadion Na Nivách, Frenštát pod Radhoštěm
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What was the result of Beskyd Frenštát vs Valašské Meziříčí?
Beskyd Frenštát won 3-1 on October 23, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Beskyd Frenštát have 3 wins, 5 draws and 7 defeats; Valašské Meziříčí have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Slavoj Olympia Bruntál(away) | 1-1 | 4. liga - Divizie F |
| Oct 9, 2022 | Havířov(home) | 1-1 | 4. liga - Divizie F |
| Oct 1, 2022 | Unie Hlubina(away) | 1-2 | 4. liga - Divizie F |
| Sep 18, 2022 | Bospor Bohumín(away) | 1-4 | 4. liga - Divizie F |
| Sep 11, 2022 | Břidličná(home) | 2-1 | 4. liga - Divizie F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | Nový Jičín(home) | 3-1 | 4. liga - Divizie F |
| Oct 9, 2022 | Karviná II(away) | 1-4 | 4. liga - Divizie F |
| Oct 2, 2022 | Slavoj Olympia Bruntál(away) | 4-2 | 4. liga - Divizie F |
| Sep 28, 2022 | Unie Hlubina(away) | 1-2 | 4. liga - Divizie F |
| Sep 23, 2022 | Havířov(home) | 1-0 | 4. liga - Divizie F |
How many goals should we expect?
Beskyd Frenštát score 1.2 and concede 2.1 goals per match over their last 15; Valašské Meziříčí score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Beskyd Frenštát | 1.2 | 2.1 | 3 | 12/15 | 9/15 |
| Valašské Meziříčí | 1.9 | 1.9 | 1 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Valašské Meziříčí | 2 | 0 | 1 | 1 | 2 | 4 | 1 |
| 13 | Valašské Meziříčí | 3 | 0 | 1 | 2 | 2 | 6 | 1 |
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