Slavičín vs Hranice: prediction and stats
4. liga - Divizie EDivision E - 9Kick-off on March 7, 2021 at 09:15 AM (UTC)Stadion FC TVD Slavičín, Slavičín
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Slavičín have 11 wins, 0 draws and 4 defeats; Hranice have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2020 | Skaštice(home) | 2-0 | 4. liga - Divizie E |
| Sep 26, 2020 | HFK Olomouc(away) | 1-0 | 4. liga - Divizie E |
| Sep 20, 2020 | Tatran Všechovice(home) | 5-1 | 4. liga - Divizie E |
| Sep 13, 2020 | Šumperk(away) | 1-5 | 4. liga - Divizie E |
| Sep 6, 2020 | Nové Sady(home) | 2-0 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Brumov(home) | 6-0 | 4. liga - Divizie E |
| Sep 26, 2020 | Strání(home) | 1-1 | 4. liga - Divizie E |
| Sep 19, 2020 | HFK Olomouc(away) | 4-1 | 4. liga - Divizie E |
| Sep 12, 2020 | Valašské Meziříčí(home) | 2-1 | 4. liga - Divizie E |
| Sep 9, 2020 | Tatran Všechovice(away) | 3-0 | 4. liga - Divizie E |
What does the head-to-head say?
In the last meeting: 0 Slavičín wins, 0 draws, 1 Hranice win.
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2019 | Hranice 1-0 Slavičín | 4. liga - Divizie E |
How many goals should we expect?
Slavičín score 2.5 and concede 1.1 goals per match over their last 15; Hranice score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slavičín | 2.5 | 1.1 | 6 | 6/15 | 9/15 |
| Hranice | 1.9 | 1.4 | 5 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Slavičín | 10 | 5 | 1 | 4 | 21 | 18 | 16 |
A question about Slavičín vs Hranice?
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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