Teleoptik vs Lokomotiva Beograd: result 2-1 and analysis
Srpska Liga - BelgradeBelgrade - 5Kick-off on September 14, 2019 at 08:00 AM (UTC)Sportski Centar Partizan-Teleoptik, Zemun
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What was the result of Teleoptik vs Lokomotiva Beograd?
Teleoptik won 2-1 on September 14, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Teleoptik have 3 wins, 4 draws and 8 defeats; Lokomotiva Beograd have 1, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2019 | Radnički Novi Beograd(away) | 0-1 | Srpska Liga - Belgrade |
| Aug 31, 2019 | Mladenovac(home) | 0-0 | Srpska Liga - Belgrade |
| Aug 24, 2019 | BSK Borca(away) | 1-2 | Srpska Liga - Belgrade |
| Aug 17, 2019 | Jedinstvo Su(home) | 1-0 | Srpska Liga - Belgrade |
| May 5, 2019 | Sloboda Uzice(home) | 2-2 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | TEK Sloga(home) | 1-1 | Srpska Liga - Belgrade |
| Sep 1, 2019 | Stepojevac Vaga(away) | 2-1 | Srpska Liga - Belgrade |
| Aug 24, 2019 | IMT Novi Beograd(home) | 1-1 | Srpska Liga - Belgrade |
| Aug 17, 2019 | Brodarac(away) | 1-2 | Srpska Liga - Belgrade |
How many goals should we expect?
Teleoptik score 1.1 and concede 1.8 goals per match over their last 15; Lokomotiva Beograd score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Teleoptik | 1.1 | 1.8 | 2 | 8/15 | 9/15 |
| Lokomotiva Beograd | 1.3 | 1.3 | 0 | 4/4 | 2/4 |
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 | Teleoptik | 26 | 21 | 5 | 0 | 77 | 23 | 68 |
A question about Teleoptik vs Lokomotiva Beograd?
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