Zvezdara vs Sremčica: result 2-1 and analysis
Srpska Liga - BelgradeBelgrade - 10Kick-off on October 20, 2019 at 11:30 AM (UTC)Stadion na Bulbulderu, Beograd
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What was the result of Zvezdara vs Sremčica?
Zvezdara won 2-1 on October 20, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Zvezdara have 4 wins, 2 draws and 3 defeats; Sremčica have 3, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Crvena Zvezda MML(away) | 2-2 | Srpska Liga - Belgrade |
| Oct 6, 2019 | OFK Beograd(home) | 2-0 | Srpska Liga - Belgrade |
| Sep 28, 2019 | Polet Dorćol(away) | 2-3 | Srpska Liga - Belgrade |
| Sep 21, 2019 | Teleoptik(home) | 4-1 | Srpska Liga - Belgrade |
| Sep 15, 2019 | TEK Sloga(away) | 1-5 | Srpska Liga - Belgrade |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Lokomotiva Beograd(home) | 0-1 | Srpska Liga - Belgrade |
| Oct 5, 2019 | Radnički Novi Beograd(away) | 1-1 | Srpska Liga - Belgrade |
| Sep 29, 2019 | Mladenovac(home) | 2-0 | Srpska Liga - Belgrade |
| Sep 21, 2019 | BSK Borca(away) | 2-1 | Srpska Liga - Belgrade |
| Sep 15, 2019 | Jedinstvo Su(home) | 2-2 | Srpska Liga - Belgrade |
How many goals should we expect?
Zvezdara score 2.1 and concede 1.6 goals per match over their last 9; Sremčica score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zvezdara | 2.1 | 1.6 | 3 | 6/9 | 6/9 |
| Sremčica | 1.1 | 1.6 | 1 | 5/9 | 5/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Zvezdara | 26 | 9 | 5 | 12 | 33 | 45 | 32 |
A question about Zvezdara vs Sremčica?
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