Vojvodina vs Radnik Surdulica: result 2-0 and analysis
Super LigaRegular Season - 15Kick-off on November 4, 2016 at 04:00 PM (UTC)Stadion Karađorđe, Novi Sad
Full time
What was the result of Vojvodina vs Radnik Surdulica?
Vojvodina won 2-0 on November 4, 2016.
Goalscorers
- 53′Nikola AšćerićVojvodina
- 69′D. MelegVojvodina (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vojvodina have 8 wins, 3 draws and 4 defeats; Radnik Surdulica have 4, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Radnicki NIS(away) | 0-1 | Super Liga |
| Oct 21, 2016 | FK Vozdovac(home) | 3-1 | Super Liga |
| Oct 16, 2016 | Mladost Lucani(away) | 0-2 | Super Liga |
| Oct 2, 2016 | Metalac GM(home) | 1-0 | Super Liga |
| Sep 25, 2016 | FK Crvena Zvezda(away) | 1-4 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | FK Partizan(home) | 1-3 | Super Liga |
| Oct 22, 2016 | Backa(away) | 2-0 | Super Liga |
| Oct 15, 2016 | Novi Pazar(home) | 3-1 | Super Liga |
| Oct 2, 2016 | Napredak(home) | 0-1 | Super Liga |
| Sep 25, 2016 | Radnicki NIS(away) | 0-1 | Super Liga |
How many goals should we expect?
Vojvodina score 1.6 and concede 1.0 goals per match over their last 15; Radnik Surdulica score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vojvodina | 1.6 | 1.0 | 6 | 6/15 | 9/15 |
| Radnik Surdulica | 1.0 | 1.4 | 2 | 6/14 | 6/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Vojvodina sit 2nd in Super Liga (12 points from 6 matches) and Radnik Surdulica sit 7th (8 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Vojvodina | 6 | 4 | 0 | 2 | 10 | 6 | 12 |
| 7 | Radnik Surdulica | 5 | 2 | 2 | 1 | 5 | 4 | 8 |
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