Sokol Lanžhot vs Slavoj Polná: result 6-0 and analysis
4. liga - Divizie DMatchday 11Kick-off on October 13, 2019 at 01:00 PM (UTC)Na Šlajsi, Lanžhot
Full time
What was the result of Sokol Lanžhot vs Slavoj Polná?
Sokol Lanžhot won 6-0 on October 13, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Sokol Lanžhot have 7 wins, 2 draws and 3 defeats; Slavoj Polná have 1, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Vysočina Jihlava II(away) | 1-2 | 4. liga - Divizie D |
| Sep 29, 2019 | Start Brno(home) | 6-0 | 4. liga - Divizie D |
| Sep 22, 2019 | Velká Bíteš(away) | 1-1 | 4. liga - Divizie D |
| Sep 15, 2019 | Humpolec(home) | 4-0 | 4. liga - Divizie D |
| Sep 7, 2019 | Žďár nad Sázavou(away) | 5-0 | 4. liga - Divizie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Sokol Tasovice(home) | 1-5 | 4. liga - Divizie D |
| Sep 29, 2019 | Stará Říše(away) | 1-5 | 4. liga - Divizie D |
| Sep 22, 2019 | Zbrojovka Brno II(home) | 0-3 | 4. liga - Divizie D |
| Sep 14, 2019 | Havlíčkův Brod(away) | 1-5 | 4. liga - Divizie D |
| Sep 7, 2019 | Bystřice nad Pernštejnem(home) | 2-2 | 4. liga - Divizie D |
How many goals should we expect?
Sokol Lanžhot score 3.3 and concede 1.1 goals per match over their last 12; Slavoj Polná score 1.1 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sokol Lanžhot | 3.3 | 1.1 | 5 | 7/12 | 11/12 |
| Slavoj Polná | 1.1 | 3.4 | 0 | 7/10 | 9/10 |
Over the last 12 matches in all competitions.
A question about Sokol Lanžhot vs Slavoj Polná?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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