Radnicki NIS vs RAD: result 3-0 and analysis
Super LigaRegular Season - 3Kick-off on August 5, 2016 at 06:00 PM (UTC)Gradski Stadion Čair, Niš
Full time
What was the result of Radnicki NIS vs RAD?
Radnicki NIS won 3-0 on August 5, 2016.
Goalscorers
- 16′M. MrkićRadnicki NIS
- 22′L. ArsićRadnicki NIS
- 83′M. MrkićRadnicki NIS
Official lineup for Radnicki NIS vs RAD
The starting elevens fielded at kick-off.
Radnicki NIS
- 7Saša Stojanović
- 9M. Pavkov
- 19M. Mrkić
- 8Pavle Popara
- 11L. Arsić
- 70A. Apostolović
- 4Radoš Bulatović
- 14M. Petrović
- 24Aleksandar Jovanović
- 33Nikola Stanković
- 18I. Konovalov
RAD
- 19Dejan Đenić
- 22Ivica Jovanović
- 77B. Veselinović
- 5Miloš Obradović
- 17A. Lutovac
- 88M. Stanojević
- 6Zoran Ljubinković
- 25N. Maraš
- 44P. Jovanović
- 55Stevan Bates
- 26N. Filipović
What is the recent form of both teams?
Over their last 2 matches in all competitions, Radnicki NIS have 1 win, 0 draws and 1 defeat; RAD have 0, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | FK Spartak Zdrepceva KRV(away) | 1-3 | Super Liga |
| Jul 24, 2016 | Cukaricki(home) | 2-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | FK Vozdovac(home) | 0-2 | Super Liga |
| Jul 23, 2016 | Mladost Lucani(away) | 1-2 | Super Liga |
How many goals should we expect?
Radnicki NIS score 1.5 and concede 2.0 goals per match over their last 2; RAD score 0.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Radnicki NIS | 1.5 | 2.0 | 0 | 2/2 | 2/2 |
| RAD | 0.5 | 2.0 | 0 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Radnicki NIS | 11 | 2 | 2 | 7 | 7 | 18 | 8 |
A question about Radnicki NIS vs RAD?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy