Vojvodina vs RAD: result 3-2 and analysis
Super LigaRegular Season - 23Kick-off on February 26, 2017 at 04:00 PM (UTC)Stadion Karađorđe, Novi Sad
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What was the result of Vojvodina vs RAD?
Vojvodina won 3-2 on February 26, 2017.
Goalscorers
- 4′D. MelegVojvodina
- 37′S. BabićVojvodina
- 55′A. LutovacRAD
- 59′F. MalbašićVojvodina
- 76′L. MiloševRAD
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vojvodina have 10 wins, 1 draws and 4 defeats; RAD have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2017 | FK Spartak Zdrepceva KRV(away) | 4-1 | Super Liga |
| Dec 14, 2016 | Cukaricki(home) | 2-0 | Super Liga |
| Dec 9, 2016 | Javor(away) | 1-2 | Super Liga |
| Dec 4, 2016 | Napredak(home) | 2-0 | Super Liga |
| Nov 30, 2016 | FK Partizan(home) | 0-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2017 | FK Partizan(home) | 0-1 | Super Liga |
| Dec 14, 2016 | Backa(away) | 0-2 | Super Liga |
| Dec 10, 2016 | Novi Pazar(home) | 2-0 | Super Liga |
| Dec 4, 2016 | Radnik Surdulica(away) | 0-1 | Super Liga |
| Nov 30, 2016 | Radnicki NIS(home) | 1-1 | Super Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Vojvodina win(s), 1 draw(s), 0 RAD win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2016 | RAD 0-0 Vojvodina | Super Liga |
How many goals should we expect?
Vojvodina score 1.6 and concede 0.9 goals per match over their last 15; RAD score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vojvodina | 1.6 | 0.9 | 7 | 6/15 | 7/15 |
| RAD | 0.7 | 0.9 | 5 | 6/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Vojvodina | 6 | 4 | 0 | 2 | 10 | 6 | 12 |
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