Přeštice vs Petřín Plzeň: result 2-1 and analysis
4. liga - Divizie ARegular Season - 6Kick-off on September 14, 2019 at 02:30 PM (UTC)Stadion Přeštice, Přeštice
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What was the result of Přeštice vs Petřín Plzeň?
Přeštice won 2-1 on September 14, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Přeštice have 4 wins, 1 draw and 1 defeat; Petřín Plzeň have 0, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Hořovicko(away) | 2-1 | 4. liga - Divizie A |
| Aug 31, 2019 | Spartak Soběslav(home) | 1-0 | 4. liga - Divizie A |
| Aug 24, 2019 | Český lev - Union Beroun(away) | 0-0 | 4. liga - Divizie A |
| Aug 17, 2019 | Rokycany(home) | 3-0 | 4. liga - Divizie A |
| Aug 10, 2019 | Mariánské Lázně(away) | 5-0 | 4. liga - Divizie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Sokol Čížová(home) | 1-1 | 4. liga - Divizie A |
| Aug 31, 2019 | Jindřichův Hradec(away) | 1-2 | 4. liga - Divizie A |
| Aug 25, 2019 | Tatran Sedlčany(home) | 1-4 | 4. liga - Divizie A |
| Aug 17, 2019 | Doubravka(away) | 1-2 | 4. liga - Divizie A |
| Aug 10, 2019 | Hvězda Cheb(home) | 0-2 | 4. liga - Divizie A |
How many goals should we expect?
Přeštice score 2.2 and concede 0.7 goals per match over their last 6; Petřín Plzeň score 0.8 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Přeštice | 2.2 | 0.7 | 4 | 2/6 | 4/6 |
| Petřín Plzeň | 0.8 | 2.2 | 0 | 5/6 | 4/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Petřín Plzeň | 11 | 8 | 1 | 2 | 26 | 14 | 25 |
A question about Přeštice vs Petřín Plzeň?
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