Břeclav vs Humpolec: result 1-2 and analysis
4. liga - Divizie DRegular Season - 1Kick-off on November 2, 2019 at 01:00 PM (UTC)Stadion Lesní ulice, Břeclav
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What was the result of Břeclav vs Humpolec?
Humpolec won 1-2 on November 2, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Břeclav have 0 wins, 2 draws and 10 defeats; Humpolec have 4, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Sokol Lanžhot(away) | 0-1 | 4. liga - Divizie D |
| Oct 19, 2019 | Sokol Tasovice(home) | 0-3 | 4. liga - Divizie D |
| Oct 13, 2019 | Stará Říše(away) | 0-4 | 4. liga - Divizie D |
| Oct 5, 2019 | Zbrojovka Brno II(home) | 1-3 | 4. liga - Divizie D |
| Sep 28, 2019 | Havlíčkův Brod(away) | 3-4 | 4. liga - Divizie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Ždírec nad Doubravou(home) | 2-0 | 4. liga - Divizie D |
| Oct 20, 2019 | Slavoj Polná(away) | 1-2 | 4. liga - Divizie D |
| Oct 13, 2019 | Vysočina Jihlava II(home) | 0-1 | 4. liga - Divizie D |
| Oct 5, 2019 | Start Brno(away) | 4-5 | 4. liga - Divizie D |
| Sep 29, 2019 | Velká Bíteš(home) | 0-3 | 4. liga - Divizie D |
How many goals should we expect?
Břeclav score 0.6 and concede 3.2 goals per match over their last 12; Humpolec score 1.6 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Břeclav | 0.6 | 3.2 | 1 | 5/12 | 9/12 |
| Humpolec | 1.6 | 3.1 | 1 | 8/14 | 12/14 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Humpolec | 9 | 2 | 3 | 4 | 8 | 10 | 9 |
A question about Břeclav vs Humpolec?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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