Javor vs RAD: result 3-2 and analysis
Super LigaRegular Season - 12Kick-off on September 30, 2017 at 03:00 PM (UTC)Stadion Ivanjica, Ivanjica
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What was the result of Javor vs RAD?
Javor won 3-2 on September 30, 2017.
Goalscorers
- 12′Vladimir VolkovRAD
- 15′F. IvanovskiJavor
- 39′Srđan AjkovićRAD
- 57′A. KrnićJavor
- 87′Stevan KovačevićJavor
What is the recent form of both teams?
Over their last 15 matches in all competitions, Javor have 1 wins, 1 draws and 13 defeats; RAD have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2017 | Radnicki NIS(away) | 0-1 | Super Liga |
| Sep 17, 2017 | Zemun(home) | 0-1 | Super Liga |
| Sep 13, 2017 | Mladost Lucani(away) | 0-3 | Super Liga |
| Sep 9, 2017 | FK Crvena Zvezda(home) | 0-2 | Super Liga |
| Aug 26, 2017 | Napredak(away) | 1-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2017 | FK Partizan(home) | 2-4 | Super Liga |
| Sep 17, 2017 | Borac Cacak(away) | 1-3 | Super Liga |
| Sep 13, 2017 | Backa(home) | 0-0 | Super Liga |
| Sep 9, 2017 | Radnik Surdulica(away) | 1-3 | Super Liga |
| Aug 25, 2017 | Cukaricki(home) | 0-1 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Javor win(s), 2 draw(s), 0 RAD win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 4, 2017 | RAD 1-1 Javor | Super Liga |
| Sep 17, 2016 | Javor 1-1 RAD | Super Liga |
How many goals should we expect?
Javor score 0.3 and concede 1.8 goals per match over their last 15; RAD score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Javor | 0.3 | 1.8 | 1 | 4/15 | 7/15 |
| RAD | 0.9 | 1.4 | 5 | 6/15 | 6/15 |
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