Teleoptik vs TSC Backa Topola: result 2-0 and analysis
Prva LigaRegular Season - 9Kick-off on October 14, 2017 at 01:00 PM (UTC)Sportski Centar Partizan-Teleoptik, Zemun
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What was the result of Teleoptik vs TSC Backa Topola?
Teleoptik won 2-0 on October 14, 2017.
Goalscorers
- 32′J. NišićTeleoptik
- 48′M. VranjaninTeleoptik
What is the recent form of both teams?
Over their last 8 matches in all competitions, Teleoptik have 0 wins, 3 draws and 5 defeats; TSC Backa Topola have 3, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Radnicki 1923(away) | 0-1 | Prva Liga |
| Oct 1, 2017 | Novi Pazar(home) | 0-0 | Prva Liga |
| Sep 24, 2017 | Sindjelic Beograd(away) | 0-0 | Prva Liga |
| Sep 15, 2017 | Jagodina(home) | 0-2 | Prva Liga |
| Sep 10, 2017 | CSK Pivara(away) | 2-3 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Dinamo Vranje(home) | 0-0 | Prva Liga |
| Sep 30, 2017 | Radnicki 1923(away) | 2-2 | Prva Liga |
| Sep 23, 2017 | Bezanija(home) | 4-0 | Prva Liga |
| Sep 16, 2017 | Novi Pazar(away) | 0-2 | Prva Liga |
| Sep 9, 2017 | Proleter Novi SAD(home) | 1-0 | Prva Liga |
How many goals should we expect?
Teleoptik score 0.6 and concede 1.5 goals per match over their last 8; TSC Backa Topola score 1.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Teleoptik | 0.6 | 1.5 | 2 | 4/8 | 3/8 |
| TSC Backa Topola | 1.0 | 0.5 | 6 | 1/8 | 2/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Teleoptik sit 13th in Prva Liga (4 points from 4 matches) and TSC Backa Topola sit 3rd (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | TSC Backa Topola | 5 | 3 | 2 | 0 | 9 | 6 | 11 |
| 13 | Teleoptik | 4 | 1 | 1 | 2 | 6 | 10 | 4 |
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