RAD vs Radnicki NIS: result 1-1 and analysis
Super LigaRegular Season - 18Kick-off on November 30, 2016 at 12:00 PM (UTC)Stadion Kralj Petar Prvi, Beograd
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What was the result of RAD vs Radnicki NIS?
RAD and Radnicki NIS drew 1-1 on November 30, 2016.
Goalscorers
- 53′M. PavkovRadnicki NIS (pen.)
- 65′Milan ĆulumRAD
What is the recent form of both teams?
Over their last 15 matches in all competitions, RAD have 5 wins, 5 draws and 5 defeats; Radnicki NIS have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | FK Vozdovac(away) | 0-0 | Super Liga |
| Nov 18, 2016 | Mladost Lucani(home) | 1-2 | Super Liga |
| Nov 5, 2016 | Metalac GM(home) | 1-1 | Super Liga |
| Oct 30, 2016 | FK Crvena Zvezda(away) | 1-2 | Super Liga |
| Oct 22, 2016 | Borac Cacak(home) | 2-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2016 | FK Spartak Zdrepceva KRV(home) | 0-1 | Super Liga |
| Nov 19, 2016 | Cukaricki(away) | 1-4 | Super Liga |
| Nov 6, 2016 | Javor(away) | 0-2 | Super Liga |
| Oct 30, 2016 | Vojvodina(home) | 1-0 | Super Liga |
| Oct 22, 2016 | FK Partizan(away) | 1-1 | Super Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 RAD win(s), 0 draw(s), 1 Radnicki NIS win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2016 | Radnicki NIS 3-0 RAD | Super Liga |
How many goals should we expect?
RAD score 0.9 and concede 1.1 goals per match over their last 15; Radnicki NIS score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RAD | 0.9 | 1.1 | 6 | 6/15 | 5/15 |
| Radnicki NIS | 1.1 | 1.0 | 6 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Radnicki NIS | 5 | 1 | 1 | 3 | 2 | 5 | 4 |
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