Viktorie Přerov vs Skaštice: result 2-1 and analysis
4. liga - Divizie ERegular Season - 11Kick-off on October 12, 2019 at 01:00 PM (UTC)Městský Stadion Přerov, Přerov
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What was the result of Viktorie Přerov vs Skaštice?
Viktorie Přerov won 2-1 on October 12, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Viktorie Přerov have 2 wins, 0 draws and 8 defeats; Skaštice have 4, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Tatran Všechovice(away) | 2-1 | 4. liga - Divizie E |
| Sep 28, 2019 | Bzenec(home) | 0-1 | 4. liga - Divizie E |
| Sep 22, 2019 | Kozlovice(away) | 0-4 | 4. liga - Divizie E |
| Sep 14, 2019 | Šumperk(home) | 4-1 | 4. liga - Divizie E |
| Sep 7, 2019 | HFK Olomouc(away) | 0-4 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Hodonín(home) | 1-3 | 4. liga - Divizie E |
| Sep 29, 2019 | Strání(away) | 2-2 | 4. liga - Divizie E |
| Sep 21, 2019 | Nové Sady(home) | 3-2 | 4. liga - Divizie E |
| Sep 15, 2019 | Hranice(home) | 7-0 | 4. liga - Divizie E |
| Sep 8, 2019 | Tatran Všechovice(away) | 3-3 | 4. liga - Divizie E |
How many goals should we expect?
Viktorie Přerov score 0.6 and concede 2.8 goals per match over their last 10; Skaštice score 3.3 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viktorie Přerov | 0.6 | 2.8 | 0 | 2/10 | 7/10 |
| Skaštice | 3.3 | 2.6 | 1 | 10/11 | 11/11 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Skaštice | 27 | 3 | 4 | 20 | 24 | 78 | 13 |
A question about Viktorie Přerov vs Skaštice?
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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