Bzenec vs Brumov: result 2-2 and analysis
4. liga - Divizie ERegular Season - 12Kick-off on October 19, 2019 at 12:30 PM (UTC)Fotbalový Stadión Bzenec, Bzenec
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What was the result of Bzenec vs Brumov?
Bzenec and Brumov drew 2-2 on October 19, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Bzenec have 3 wins, 2 draws and 6 defeats; Brumov have 1, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Slavičín(away) | 1-6 | 4. liga - Divizie E |
| Oct 5, 2019 | Vsetín(home) | 1-1 | 4. liga - Divizie E |
| Sep 28, 2019 | Viktorie Přerov(away) | 1-0 | 4. liga - Divizie E |
| Sep 21, 2019 | Hodonín(home) | 1-1 | 4. liga - Divizie E |
| Sep 14, 2019 | Strání(away) | 1-3 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Kozlovice(home) | 0-8 | 4. liga - Divizie E |
| 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 |
How many goals should we expect?
Bzenec score 1.5 and concede 2.3 goals per match over their last 11; Brumov score 0.4 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bzenec | 1.5 | 2.3 | 1 | 9/11 | 7/11 |
| Brumov | 0.4 | 2.6 | 3 | 2/11 | 6/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Bzenec sit 13th in 4. liga - Divizie E (6 points from 10 matches) and Brumov sit 12th (7 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Brumov | 10 | 2 | 1 | 7 | 15 | 31 | 7 |
| 13 | Bzenec | 10 | 2 | 0 | 8 | 15 | 32 | 6 |
A question about Bzenec 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