Baťov vs Holešov: result 2-2 and analysis
4. liga - Divizie EDivision E - 9Kick-off on October 1, 2022 at 01:00 PM (UTC)Sportovní Areál Baťov, Otrokovice
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What was the result of Baťov vs Holešov?
Baťov and Holešov drew 2-2 on October 1, 2022.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Baťov have 6 wins, 2 draws and 2 defeats; Holešov have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 10, 2022 | Šternberk(away) | 0-0 | 4. liga - Divizie E |
| Sep 2, 2022 | Vsetín(home) | 2-1 | 4. liga - Divizie E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Tatran Všechovice(home) | 3-0 | 4. liga - Divizie E |
| Sep 17, 2022 | HFK Olomouc(home) | 4-1 | 4. liga - Divizie E |
| Sep 11, 2022 | Šumperk(away) | 0-2 | 4. liga - Divizie E |
| Sep 3, 2022 | Skaštice(home) | 1-3 | 4. liga - Divizie E |
| Aug 27, 2022 | Šternberk(away) | 1-1 | 4. liga - Divizie E |
How many goals should we expect?
Baťov score 1.9 and concede 1.8 goals per match over their last 10; Holešov score 1.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baťov | 1.9 | 1.8 | 2 | 7/10 | 8/10 |
| Holešov | 1.7 | 2.0 | 2 | 11/15 | 12/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Baťov sit 16th in 4. liga - Divizie E (0 points from 10 matches) and Holešov sit 11th (13 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Holešov | 10 | 3 | 4 | 3 | 19 | 17 | 13 |
| 16 | Baťov | 10 | 0 | 0 | 10 | 9 | 35 | 0 |
A question about Baťov vs Holešov?
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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