Kroměříž II vs Brumov: result 0-1 and analysis
4. liga - Divizie EDivision E - 11Kick-off on October 10, 2025 at 04:00 PM (UTC)
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What was the result of Kroměříž II vs Brumov?
Brumov won 0-1 on October 10, 2025.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Kroměříž II have 5 wins, 2 draws and 3 defeats; Brumov have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2025 | Strání(away) | 0-1 | 4. liga - Divizie E |
| Sep 28, 2025 | Baťov(home) | 4-1 | 4. liga - Divizie E |
| Sep 20, 2025 | Bzenec(away) | 3-2 | 4. liga - Divizie E |
| Sep 13, 2025 | Nové Sady(home) | 2-1 | 4. liga - Divizie E |
| Sep 6, 2025 | Skaštice(away) | 5-0 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Šternberk(home) | 1-2 | 4. liga - Divizie E |
| Sep 28, 2025 | Kozlovice(home) | 2-1 | 4. liga - Divizie E |
| Sep 21, 2025 | Strání(away) | 0-1 | 4. liga - Divizie E |
| Sep 6, 2025 | Bzenec(away) | 1-1 | 4. liga - Divizie E |
| Aug 31, 2025 | Nové Sady(home) | 0-1 | 4. liga - Divizie E |
How many goals should we expect?
Kroměříž II score 2.1 and concede 1.6 goals per match over their last 10; Brumov score 0.8 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kroměříž II | 2.1 | 1.6 | 1 | 7/10 | 7/10 |
| Brumov | 0.8 | 2.4 | 3 | 6/15 | 7/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Kroměříž II sit 14th in 4. liga - Divizie E (9 points from 12 matches) and Brumov sit 15th (7 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kroměříž II | 12 | 2 | 3 | 7 | 14 | 24 | 9 |
| 15 | Brumov | 12 | 2 | 1 | 9 | 16 | 37 | 7 |
A question about Kroměříž II vs Brumov?
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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