FK Vozdovac vs Javor: result 1-1 and analysis
Super LigaChampionship Round - 1Kick-off on April 18, 2017 at 03:00 PM (UTC)Stadion Event Place, Beograd
Full time
What was the result of FK Vozdovac vs Javor?
FK Vozdovac and Javor drew 1-1 on April 18, 2017.
Goalscorers
- 22′Stefan TripkovićJavor
- 31′I. MarkovićFK Vozdovac
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Vozdovac have 9 wins, 2 draws and 4 defeats; Javor have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2017 | Cukaricki(home) | 1-3 | Super Liga |
| Apr 9, 2017 | Javor(away) | 1-0 | Super Liga |
| Apr 1, 2017 | Vojvodina(home) | 4-1 | Super Liga |
| Mar 18, 2017 | FK Partizan(away) | 0-4 | Super Liga |
| Mar 12, 2017 | Backa(home) | 4-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2017 | Radnicki NIS(away) | 1-0 | Super Liga |
| Apr 9, 2017 | FK Vozdovac(home) | 0-1 | Super Liga |
| Apr 1, 2017 | Mladost Lucani(away) | 0-1 | Super Liga |
| Mar 18, 2017 | Metalac GM(home) | 1-0 | Super Liga |
| Mar 12, 2017 | FK Crvena Zvezda(away) | 0-3 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 FK Vozdovac win(s), 0 draw(s), 1 Javor win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2017 | Javor 0-1 FK Vozdovac | Super Liga |
| Oct 30, 2016 | FK Vozdovac 1-2 Javor | Super Liga |
How many goals should we expect?
FK Vozdovac score 1.5 and concede 0.9 goals per match over their last 15; Javor score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Vozdovac | 1.5 | 0.9 | 8 | 4/15 | 7/15 |
| Javor | 1.1 | 1.0 | 6 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Javor | 37 | 10 | 12 | 15 | 41 | 54 | 42 |
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