FK Spartak Zdrepceva KRV vs Javor: result 1-1 and analysis
Super LigaRegular Season - 8Kick-off on September 10, 2016 at 02:30 PM (UTC)Gradski Stadion, Subotica
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What was the result of FK Spartak Zdrepceva KRV vs Javor?
FK Spartak Zdrepceva KRV and Javor drew 1-1 on September 10, 2016.
Goalscorers
- 44′Igor StojakovićJavor
- 89′A. RadovanovićFK Spartak Zdrepceva KRV
What is the recent form of both teams?
Over their last 7 matches in all competitions, FK Spartak Zdrepceva KRV have 4 wins, 0 draws and 3 defeats; Javor have 1, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | Vojvodina(away) | 0-5 | Super Liga |
| Aug 20, 2016 | FK Partizan(home) | 2-1 | Super Liga |
| Aug 13, 2016 | Backa(away) | 3-1 | Super Liga |
| Aug 10, 2016 | Novi Pazar(home) | 2-5 | Super Liga |
| Aug 6, 2016 | Radnik Surdulica(away) | 1-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2016 | Cukaricki(home) | 0-0 | Super Liga |
| Aug 20, 2016 | Napredak(away) | 1-3 | Super Liga |
| Aug 14, 2016 | Vojvodina(away) | 0-4 | Super Liga |
| Aug 10, 2016 | FK Partizan(home) | 0-2 | Super Liga |
| Aug 6, 2016 | Backa(away) | 1-0 | Super Liga |
How many goals should we expect?
FK Spartak Zdrepceva KRV score 2.0 and concede 2.1 goals per match over their last 7; Javor score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Spartak Zdrepceva KRV | 2.0 | 2.1 | 1 | 5/7 | 7/7 |
| Javor | 0.7 | 1.7 | 2 | 3/7 | 3/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
FK Spartak Zdrepceva KRV sit 7th in Super Liga (21 points from 37 matches) and Javor sit 6th (42 points from 37 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Javor | 37 | 10 | 12 | 15 | 41 | 54 | 42 |
| 7 | FK Spartak Zdrepceva KRV | 37 | 4 | 9 | 24 | 37 | 72 | 21 |
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