Kozlovice vs Viktorie Přerov: result 4-0 and analysis
4. liga - Divizie ERegular Season - 8Kick-off on September 22, 2019 at 01:30 PM (UTC)Areal Sportu Kozlovice, Kozlovice
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What was the result of Kozlovice vs Viktorie Přerov?
Kozlovice won 4-0 on September 22, 2019.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Kozlovice have 4 wins, 1 draw and 2 defeats; Viktorie Přerov have 1, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Hodonín(away) | 2-2 | 4. liga - Divizie E |
| Sep 8, 2019 | Strání(home) | 1-0 | 4. liga - Divizie E |
| Aug 31, 2019 | Nové Sady(away) | 0-2 | 4. liga - Divizie E |
| Aug 25, 2019 | Skaštice(home) | 4-2 | 4. liga - Divizie E |
| Aug 18, 2019 | Tatran Všechovice(away) | 1-0 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Šumperk(home) | 4-1 | 4. liga - Divizie E |
| Sep 7, 2019 | HFK Olomouc(away) | 0-4 | 4. liga - Divizie E |
| Aug 31, 2019 | Brumov(home) | 0-2 | 4. liga - Divizie E |
| Aug 25, 2019 | Slavičín(away) | 0-6 | 4. liga - Divizie E |
| Aug 17, 2019 | Vsetín(home) | 0-1 | 4. liga - Divizie E |
How many goals should we expect?
Kozlovice score 1.6 and concede 1.6 goals per match over their last 7; Viktorie Přerov score 0.6 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kozlovice | 1.6 | 1.6 | 2 | 3/7 | 4/7 |
| Viktorie Přerov | 0.6 | 3.1 | 0 | 1/7 | 5/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Kozlovice | 11 | 7 | 3 | 1 | 27 | 12 | 24 |
A question about Kozlovice vs Viktorie Přerov?
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