Šumperk vs Viktorie Přerov: result 5-2 and analysis
4. liga - Divizie EDivision E - 8Kick-off on September 27, 2020 at 01:30 PM (UTC)Městský Stadion, Šumperk
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What was the result of Šumperk vs Viktorie Přerov?
Šumperk won 5-2 on September 27, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Šumperk have 3 wins, 1 draw and 11 defeats; Viktorie Přerov have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Skaštice(away) | 2-3 | 4. liga - Divizie E |
| Sep 13, 2020 | Slavičín(home) | 5-1 | 4. liga - Divizie E |
| Sep 5, 2020 | HFK Olomouc(away) | 2-3 | 4. liga - Divizie E |
| Aug 30, 2020 | Tatran Všechovice(home) | 1-2 | 4. liga - Divizie E |
| Aug 23, 2020 | Hranice(home) | 0-3 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Nové Sady(home) | 4-1 | 4. liga - Divizie E |
| Sep 12, 2020 | Vsetín(away) | 0-4 | 4. liga - Divizie E |
| Sep 6, 2020 | Brumov(home) | 6-1 | 4. liga - Divizie E |
| Aug 29, 2020 | Strání(away) | 1-0 | 4. liga - Divizie E |
| Aug 22, 2020 | Valašské Meziříčí(home) | 2-0 | 4. liga - Divizie E |
What does the head-to-head say?
In the last meeting: 0 Šumperk wins, 0 draws, 1 Viktorie Přerov win.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2019 | Viktorie Přerov 4-1 Šumperk | 4. liga - Divizie E |
Last archived meeting: Viktorie Přerov vs Šumperk on Sep 14, 2019
How many goals should we expect?
Šumperk score 1.3 and concede 2.5 goals per match over their last 15; Viktorie Přerov score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Šumperk | 1.3 | 2.5 | 2 | 8/15 | 13/15 |
| Viktorie Přerov | 1.9 | 2.1 | 2 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Šumperk vs Viktorie Přerov?
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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