Bílovec vs Šumperk: result 1-0 and analysis
4. liga - Divizie FDivision F - 15Kick-off on November 12, 2023 at 01:00 PM (UTC)Fotbalove Hriste Bílovec, Bílovec
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What was the result of Bílovec vs Šumperk?
Bílovec won 1-0 on November 12, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bílovec have 7 wins, 2 draws and 6 defeats; Šumperk have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Břidličná(home) | 0-2 | 4. liga - Divizie F |
| Oct 29, 2023 | Valašské Meziříčí(home) | 2-0 | 4. liga - Divizie F |
| Oct 22, 2023 | Beskyd Frenštát(away) | 4-3 | 4. liga - Divizie F |
| Oct 15, 2023 | Řepiště(home) | 0-3 | 4. liga - Divizie F |
| Oct 7, 2023 | Unie Hlubina(away) | 0-2 | 4. liga - Divizie F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2023 | Bospor Bohumín(home) | 1-2 | 4. liga - Divizie F |
| Oct 28, 2023 | Jeseník(away) | 1-0 | 4. liga - Divizie F |
| Oct 22, 2023 | Vítkovice(home) | 1-0 | 4. liga - Divizie F |
| Oct 15, 2023 | Slavoj Olympia Bruntál(away) | 5-2 | 4. liga - Divizie F |
| Oct 8, 2023 | Vratimov(home) | 5-0 | 4. liga - Divizie F |
How many goals should we expect?
Bílovec score 1.5 and concede 1.5 goals per match over their last 15; Šumperk score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bílovec | 1.5 | 1.5 | 2 | 7/15 | 7/15 |
| Šumperk | 2.1 | 1.1 | 7 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bílovec sit 15th in 4. liga - Divizie F (5 points from 9 matches) and Šumperk sit 14th (8 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Šumperk | 9 | 2 | 2 | 5 | 12 | 15 | 8 |
| 15 | Bílovec | 9 | 1 | 2 | 6 | 5 | 18 | 5 |
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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