Slavičín vs Baťov: result 2-1 and analysis
4. liga - Divizie EDivision E - 13Kick-off on October 28, 2022 at 11:30 AM (UTC)Stadion FC TVD Slavičín, Slavičín
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What was the result of Slavičín vs Baťov?
Slavičín won 2-1 on October 28, 2022.
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; Baťov have 7, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Tatran Všechovice(away) | 2-1 | 4. liga - Divizie E |
| Oct 9, 2022 | Šumperk(away) | 2-0 | 4. liga - Divizie E |
| Oct 2, 2022 | Skaštice(home) | 3-2 | 4. liga - Divizie E |
| Sep 24, 2022 | Šternberk(away) | 0-2 | 4. liga - Divizie E |
| Sep 18, 2022 | Vsetín(home) | 5-1 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2022 | Nové Sady(home) | 3-2 | 4. liga - Divizie E |
| Oct 1, 2022 | Holešov(home) | 2-2 | 4. liga - Divizie E |
| Sep 28, 2022 | HFK Olomouc(home) | 4-2 | 4. liga - Divizie E |
| Sep 25, 2022 | Šumperk(away) | 2-0 | 4. liga - Divizie E |
| Sep 17, 2022 | Skaštice(home) | 2-2 | 4. liga - Divizie E |
How many goals should we expect?
Slavičín score 2.4 and concede 1.6 goals per match over their last 15; Baťov score 2.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slavičín | 2.4 | 1.6 | 3 | 11/15 | 11/15 |
| Baťov | 2.0 | 1.8 | 2 | 9/12 | 10/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Slavičín sit 7th in 4. liga - Divizie E (16 points from 10 matches) and Baťov sit 16th (0 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Slavičín | 10 | 5 | 1 | 4 | 21 | 18 | 16 |
| 16 | Baťov | 10 | 0 | 0 | 10 | 9 | 35 | 0 |
A question about Slavičín vs Baťov?
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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