Hořovicko vs Mariánské Lázně: result 2-1 and analysis
4. liga - Divizie AMatchday 9Kick-off on October 5, 2019 at 08:30 AM (UTC)Hořovice UMT, Hořovice
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What was the result of Hořovicko vs Mariánské Lázně?
Hořovicko won 2-1 on October 5, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Hořovicko have 2 wins, 1 draw and 6 defeats; Mariánské Lázně have 5, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Slavoj Mýto(away) | 1-3 | 4. liga - Divizie A |
| Sep 21, 2019 | Klatovy(home) | 2-1 | 4. liga - Divizie A |
| Sep 14, 2019 | Otava Katovice(away) | 1-2 | 4. liga - Divizie A |
| Sep 7, 2019 | Přeštice(home) | 1-2 | 4. liga - Divizie A |
| Aug 31, 2019 | Sokol Čížová(away) | 0-6 | 4. liga - Divizie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Spartak Soběslav(home) | 0-2 | 4. liga - Divizie A |
| Sep 21, 2019 | Český lev - Union Beroun(away) | 0-2 | 4. liga - Divizie A |
| Sep 14, 2019 | Rokycany(home) | 2-0 | 4. liga - Divizie A |
| Sep 7, 2019 | České Budějovice II(home) | 1-4 | 4. liga - Divizie A |
| Sep 1, 2019 | Slavoj Mýto(away) | 2-4 | 4. liga - Divizie A |
How many goals should we expect?
Hořovicko score 1.3 and concede 2.4 goals per match over their last 9; Mariánské Lázně score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hořovicko | 1.3 | 2.4 | 0 | 7/9 | 8/9 |
| Mariánské Lázně | 1.5 | 2.1 | 4 | 4/11 | 6/11 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Hořovicko | 13 | 6 | 3 | 4 | 20 | 17 | 21 |
A question about Hořovicko vs Mariánské Lázně?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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