Brumov vs Kozlovice: result 0-8 and analysis
4. liga - Divizie ERegular Season - 11Kick-off on October 13, 2019 at 08:15 AM (UTC)Stadion FC Elseremo Brumov, Brumov-Bylnice
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What was the result of Brumov vs Kozlovice?
Kozlovice won 0-8 on October 13, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Brumov have 1 win, 3 draws and 6 defeats; Kozlovice have 6, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Šumperk(away) | 1-5 | 4. liga - Divizie E |
| Sep 29, 2019 | HFK Olomouc(home) | 0-1 | 4. liga - Divizie E |
| Sep 21, 2019 | Hranice(away) | 0-3 | 4. liga - Divizie E |
| Sep 15, 2019 | Slavičín(away) | 0-3 | 4. liga - Divizie E |
| Sep 8, 2019 | Vsetín(home) | 0-0 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Slavičín(home) | 2-0 | 4. liga - Divizie E |
| Sep 28, 2019 | Vsetín(away) | 0-0 | 4. liga - Divizie E |
| Sep 22, 2019 | Viktorie Přerov(home) | 4-0 | 4. liga - Divizie E |
| Sep 14, 2019 | Hodonín(away) | 2-2 | 4. liga - Divizie E |
| Sep 8, 2019 | Strání(home) | 1-0 | 4. liga - Divizie E |
How many goals should we expect?
Brumov score 0.4 and concede 2.1 goals per match over their last 10; Kozlovice score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brumov | 0.4 | 2.1 | 3 | 2/10 | 5/10 |
| Kozlovice | 1.7 | 1.1 | 5 | 3/10 | 5/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Brumov sit 12th in 4. liga - Divizie E (7 points from 10 matches) and Kozlovice sit 2nd (24 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kozlovice | 10 | 7 | 3 | 0 | 27 | 9 | 24 |
| 12 | Brumov | 10 | 2 | 1 | 7 | 15 | 31 | 7 |
A question about Brumov vs Kozlovice?
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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