TEK Sloga vs Teleoptik: result 2-1 and analysis
Srpska Liga - BelgradeBelgrade - 10Kick-off on October 19, 2019 at 11:30 AM (UTC)Stadion TEK, Veliki Crljeni
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What was the result of TEK Sloga vs Teleoptik?
TEK Sloga won 2-1 on October 19, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, TEK Sloga have 3 wins, 4 draws and 2 defeats; Teleoptik have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Radnički Obrenovac(home) | 0-0 | Srpska Liga - Belgrade |
| Oct 6, 2019 | Stepojevac Vaga(away) | 1-3 | Srpska Liga - Belgrade |
| Sep 29, 2019 | IMT Novi Beograd(home) | 1-1 | Srpska Liga - Belgrade |
| Sep 18, 2019 | Brodarac(away) | 2-1 | Srpska Liga - Belgrade |
| Sep 15, 2019 | Zvezdara(home) | 5-1 | Srpska Liga - Belgrade |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2019 | Stepojevac Vaga(home) | 1-1 | Srpska Liga - Belgrade |
| Oct 5, 2019 | IMT Novi Beograd(away) | 0-2 | Srpska Liga - Belgrade |
| Sep 28, 2019 | Brodarac(home) | 2-2 | Srpska Liga - Belgrade |
| Sep 21, 2019 | Zvezdara(away) | 1-4 | Srpska Liga - Belgrade |
| Sep 14, 2019 | Lokomotiva Beograd(home) | 2-1 | Srpska Liga - Belgrade |
How many goals should we expect?
TEK Sloga score 1.4 and concede 1.1 goals per match over their last 9; Teleoptik score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TEK Sloga | 1.4 | 1.1 | 2 | 7/9 | 4/9 |
| Teleoptik | 0.9 | 1.7 | 2 | 8/15 | 8/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Teleoptik | 26 | 21 | 5 | 0 | 77 | 23 | 68 |
A question about TEK Sloga vs Teleoptik?
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