Rapid Psáry vs Baník Sokolov: result 4-2 and analysis
4. liga - Divizie BDivision B - 4Kick-off on September 10, 2025 at 03:00 PM (UTC)Hrište Psáry, Psáry
Full time
What was the result of Rapid Psáry vs Baník Sokolov?
Rapid Psáry won 4-2 on September 10, 2025.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Rapid Psáry have 2 wins, 1 draws and 5 defeats; Baník Sokolov have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2025 | Olympie Březová(away) | 1-2 | 4. liga - Divizie B |
| Aug 23, 2025 | Slaný(away) | 0-2 | 4. liga - Divizie B |
| Aug 16, 2025 | Ostrov(home) | 1-2 | 4. liga - Divizie B |
| Aug 13, 2025 | Petřín Plzeň(home) | 2-3 | Cup |
| Aug 10, 2025 | Louny(away) | 2-2 | 4. liga - Divizie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2025 | Ústí nad Labem II(home) | 1-2 | 4. liga - Divizie B |
| Aug 23, 2025 | Spoje Praha(home) | 4-2 | 4. liga - Divizie B |
| Aug 17, 2025 | Újezd Praha 4(away) | 1-3 | 4. liga - Divizie B |
| Aug 13, 2025 | Ústí nad Labem(home) | 0-2 | Cup |
| Aug 9, 2025 | Štětí(home) | 0-2 | 4. liga - Divizie B |
How many goals should we expect?
Rapid Psáry score 1.8 and concede 3.1 goals per match over their last 8; Baník Sokolov score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rapid Psáry | 1.8 | 3.1 | 0 | 7/8 | 7/8 |
| Baník Sokolov | 1.5 | 1.5 | 3 | 10/15 | 9/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Rapid Psáry sit 9th in 4. liga - Divizie B (3 points from 3 matches) and Baník Sokolov sit 8th (3 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Baník Sokolov | 2 | 1 | 0 | 1 | 6 | 1 | 3 |
| 9 | Rapid Psáry | 3 | 1 | 0 | 2 | 4 | 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