Stepojevac Vaga vs Crvena Zvezda MML: result 1-1 and analysis
Srpska Liga - BelgradeBelgrade - 12Kick-off on November 3, 2019 at 12:30 PM (UTC)Vaga Arena, Stepojevac
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What was the result of Stepojevac Vaga vs Crvena Zvezda MML?
Stepojevac Vaga and Crvena Zvezda MML drew 1-1 on November 3, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Stepojevac Vaga have 3 wins, 2 draws and 6 defeats; Crvena Zvezda MML have 2, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | OFK Beograd(away) | 0-2 | Srpska Liga - Belgrade |
| Oct 20, 2019 | Polet Dorćol(home) | 2-0 | Srpska Liga - Belgrade |
| Oct 13, 2019 | Teleoptik(away) | 1-1 | Srpska Liga - Belgrade |
| Oct 6, 2019 | TEK Sloga(home) | 3-1 | Srpska Liga - Belgrade |
| Sep 28, 2019 | Radnički Obrenovac(home) | 2-1 | Srpska Liga - Belgrade |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | IMT Novi Beograd(home) | 0-0 | Srpska Liga - Belgrade |
| Oct 20, 2019 | Brodarac(away) | 2-3 | Srpska Liga - Belgrade |
| Oct 13, 2019 | Zvezdara(home) | 2-2 | Srpska Liga - Belgrade |
| Oct 5, 2019 | Lokomotiva Beograd(away) | 3-0 | Srpska Liga - Belgrade |
| Sep 29, 2019 | Radnički Novi Beograd(home) | 1-1 | Srpska Liga - Belgrade |
How many goals should we expect?
Stepojevac Vaga score 1.0 and concede 1.9 goals per match over their last 11; Crvena Zvezda MML score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stepojevac Vaga | 1.0 | 1.9 | 2 | 6/11 | 6/11 |
| Crvena Zvezda MML | 1.1 | 1.5 | 2 | 6/11 | 5/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Stepojevac Vaga | 26 | 18 | 8 | 0 | 51 | 8 | 62 |
A question about Stepojevac Vaga vs Crvena Zvezda MML?
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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