Match

Beskyd Frenštát vs Slavoj Olympia Bruntál: result 3-1 and analysis

4. liga - Divizie FDivision F - 21Kick-off on May 7, 2022 at 02:30 PM (UTC)Stadion 1. BFK Frýdlant, Frýdlant nad Ostravicí

Beskyd Frenštát
3-1
Slavoj Olympia Bruntál

Full time

What was the result of Beskyd Frenštát vs Slavoj Olympia Bruntál?

Beskyd Frenštát won 3-1 on May 7, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Beskyd Frenštát have 8 wins, 1 draws and 6 defeats; Slavoj Olympia Bruntál have 3, 3 and 9.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Beskyd Frenštát
DateOpponentScoreCompetition
May 1, 2022Havířov(away)3-04. liga - Divizie F
Apr 27, 2022Vítkovice(home)0-34. liga - Divizie F
Apr 23, 2022Nový Jičín(home)4-14. liga - Divizie F
Apr 16, 2022Dětmarovice(away)3-04. liga - Divizie F
Mar 27, 2022Karviná II(away)0-24. liga - Divizie F
Slavoj Olympia Bruntál
DateOpponentScoreCompetition
May 1, 2022Vítkovice(home)1-34. liga - Divizie F
Apr 24, 2022Karviná II(away)0-34. liga - Divizie F
Apr 17, 2022Polanka nad Odrou(home)0-14. liga - Divizie F
Apr 10, 2022Bílovec(away)0-44. liga - Divizie F
Mar 26, 2022Heřmanice Slezská(away)4-14. liga - Divizie F

What does the head-to-head say?

Across the last 2 meetings: 2 Beskyd Frenštát win(s), 0 draw(s), 0 Slavoj Olympia Bruntál win(s).

DateScoreCompetition
Aug 15, 2021Beskyd Frenštát 3-0 Slavoj Olympia Bruntál4. liga - Divizie F
Aug 30, 2020Beskyd Frenštát 4-1 Slavoj Olympia Bruntál4. liga - Divizie F

Last archived meeting: Beskyd Frenštát vs Slavoj Olympia Bruntál on Aug 15, 2021

How many goals should we expect?

Beskyd Frenštát score 1.5 and concede 1.2 goals per match over their last 15; Slavoj Olympia Bruntál score 0.9 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Beskyd Frenštát1.51.264/159/15
Slavoj Olympia Bruntál0.91.926/158/15

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

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