Petřvald na Moravě vs Jiskra Rýmařov: result 1-2 and analysis
4. liga - Divizie FDivision F - 15Kick-off on November 9, 2024 at 01:00 PM (UTC)Fotbalove hřiště Petřvald na Moravě, Petřvald na Moravě
Full time
What was the result of Petřvald na Moravě vs Jiskra Rýmařov?
Jiskra Rýmařov won 1-2 on November 9, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Petřvald na Moravě have 7 wins, 4 draws and 4 defeats; Jiskra Rýmařov have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2024 | Polanka nad Odrou(away) | 0-3 | 4. liga - Divizie F |
| Oct 30, 2024 | Břidličná(away) | 0-0 | 4. liga - Divizie F |
| Oct 26, 2024 | Vratimov(away) | 1-1 | 4. liga - Divizie F |
| Oct 19, 2024 | Bospor Bohumín(home) | 2-2 | 4. liga - Divizie F |
| Oct 12, 2024 | Opava II(away) | 3-2 | 4. liga - Divizie F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2024 | Vratimov(home) | 2-0 | 4. liga - Divizie F |
| Oct 27, 2024 | Bospor Bohumín(away) | 0-2 | 4. liga - Divizie F |
| Oct 23, 2024 | Krnov(home) | 8-1 | 4. liga - Divizie F |
| Oct 19, 2024 | Opava II(home) | 1-3 | 4. liga - Divizie F |
| Oct 13, 2024 | Beskyd Frenštát(away) | 3-1 | 4. liga - Divizie F |
How many goals should we expect?
Petřvald na Moravě score 2.3 and concede 1.7 goals per match over their last 15; Jiskra Rýmařov score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Petřvald na Moravě | 2.3 | 1.7 | 4 | 8/15 | 12/15 |
| Jiskra Rýmařov | 1.8 | 1.9 | 4 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Jiskra Rýmařov | 3 | 2 | 0 | 1 | 7 | 3 | 6 |
| 9 | Jiskra Rýmařov | 2 | 1 | 0 | 1 | 3 | 3 | 3 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy