RAD vs Vojvodina: result 0-3 and analysis
Super LigaRegular Season - 15Kick-off on October 28, 2017 at 05:00 PM (UTC)Stadion Kralj Petar Prvi, Beograd
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What was the result of RAD vs Vojvodina?
Vojvodina won 0-3 on October 28, 2017.
Goalscorers
- 21′D. KojaševićVojvodina
- 86′N. SubotićVojvodina
- 89′Ivica JovanovićVojvodina
What is the recent form of both teams?
Over their last 15 matches in all competitions, RAD have 3 wins, 2 draws and 10 defeats; Vojvodina have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | FK Vozdovac(away) | 0-3 | Super Liga |
| Oct 14, 2017 | FK Spartak Zdrepceva KRV(home) | 0-2 | Super Liga |
| Sep 30, 2017 | Javor(away) | 2-3 | Super Liga |
| Sep 24, 2017 | FK Partizan(home) | 2-4 | Super Liga |
| Sep 17, 2017 | Borac Cacak(away) | 1-3 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2017 | Radnicki NIS(home) | 1-1 | Super Liga |
| Oct 14, 2017 | Zemun(away) | 0-0 | Super Liga |
| Sep 29, 2017 | Mladost Lucani(home) | 2-0 | Super Liga |
| Sep 24, 2017 | FK Crvena Zvezda(away) | 0-2 | Super Liga |
| Sep 16, 2017 | Napredak(home) | 3-1 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 RAD win(s), 1 draw(s), 1 Vojvodina win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2017 | Vojvodina 3-2 RAD | Super Liga |
| Sep 9, 2016 | RAD 0-0 Vojvodina | Super Liga |
How many goals should we expect?
RAD score 0.9 and concede 1.9 goals per match over their last 15; Vojvodina score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RAD | 0.9 | 1.9 | 3 | 7/15 | 8/15 |
| Vojvodina | 1.1 | 0.9 | 8 | 3/15 | 3/15 |
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