Tekstilac Odžaci vs FK Crvena Zvezda: result 0-4 and analysis
Super LigaRegular Season - 3Kick-off on August 3, 2024 at 06:00 PM (UTC)Stadion Slavko Maletin Vava, Bačka Palanka
Full time
What was the result of Tekstilac Odžaci vs FK Crvena Zvezda?
FK Crvena Zvezda won 0-4 on August 3, 2024.
Goalscorers
- 53′MilsonFK Crvena Zvezda
- 63′C. NdiayeFK Crvena Zvezda
- 68′T. ElšnikFK Crvena Zvezda
- 83′Bruno DuarteFK Crvena Zvezda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tekstilac Odžaci have 4 wins, 5 draws and 6 defeats; FK Crvena Zvezda have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2024 | OFK Beograd(away) | 0-1 | Super Liga |
| Jul 21, 2024 | Vojvodina(home) | 1-3 | Super Liga |
| Jun 22, 2024 | FK Spartak Zdrepceva KRV(away) | 4-2 | Friendlies Clubs |
| Jun 3, 2024 | Javor(away) | 1-1 | Super Liga |
| May 29, 2024 | Javor(home) | 1-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2024 | Mladost Lucani(home) | 2-2 | Super Liga |
| Jul 20, 2024 | Jedinstvo Ub(home) | 4-0 | Super Liga |
| Jul 12, 2024 | Talleres Cordoba(away) | 0-1 | Friendlies Clubs |
| Jul 8, 2024 | Zenit(away) | 2-1 | Friendlies Clubs |
| Jul 5, 2024 | FC Sochi(away) | 2-0 | Friendlies Clubs |
How many goals should we expect?
Tekstilac Odžaci score 1.1 and concede 1.1 goals per match over their last 15; FK Crvena Zvezda score 2.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tekstilac Odžaci | 1.1 | 1.1 | 5 | 9/15 | 6/15 |
| FK Crvena Zvezda | 2.1 | 0.7 | 7 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FK Crvena Zvezda | 4 | 4 | 0 | 0 | 14 | 1 | 12 |
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