Slavoj Olympia Bruntál vs Řepiště: result 0-2 and analysis
4. liga - Divizie FDivision F - 7Kick-off on September 17, 2023 at 01:30 PM (UTC)Městský fotbalový štadión FC Slavoj Olympia Bruntál, Bruntál
Full time
What was the result of Slavoj Olympia Bruntál vs Řepiště?
Řepiště won 0-2 on September 17, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Slavoj Olympia Bruntál have 3 wins, 1 draw and 11 defeats; Řepiště have 2, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2023 | Unie Hlubina(away) | 0-5 | 4. liga - Divizie F |
| Sep 6, 2023 | Vítkovice(home) | 1-4 | 4. liga - Divizie F |
| Sep 3, 2023 | Havířov(home) | 0-3 | 4. liga - Divizie F |
| Aug 27, 2023 | Bílovec(away) | 0-2 | 4. liga - Divizie F |
| Aug 20, 2023 | Bospor Bohumín(home) | 3-1 | 4. liga - Divizie F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2023 | Vratimov(home) | 0-5 | 4. liga - Divizie F |
| Sep 2, 2023 | Opava II(away) | 1-4 | 4. liga - Divizie F |
| Aug 26, 2023 | Polanka nad Odrou(home) | 0-1 | 4. liga - Divizie F |
| Aug 20, 2023 | Šumperk(away) | 0-4 | 4. liga - Divizie F |
| Aug 12, 2023 | Břidličná(home) | 0-3 | 4. liga - Divizie F |
How many goals should we expect?
Slavoj Olympia Bruntál score 1.1 and concede 3.0 goals per match over their last 15; Řepiště score 1.0 and concede 5.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slavoj Olympia Bruntál | 1.1 | 3.0 | 1 | 9/15 | 12/15 |
| Řepiště | 1.0 | 5.5 | 1 | 2/8 | 7/8 |
Over the last 15 matches in all competitions.
A question about Slavoj Olympia Bruntál vs Řepiště?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy