Radnicki NIS vs Radnik Surdulica: result 1-0 and analysis
Super LigaRegular Season - 10Kick-off on September 25, 2016 at 05:00 PM (UTC)Gradski Stadion Čair, Niš
Full time
What was the result of Radnicki NIS vs Radnik Surdulica?
Radnicki NIS won 1-0 on September 25, 2016.
Goalscorers
- 79′M. MrkićRadnicki NIS
What is the recent form of both teams?
Over their last 9 matches in all competitions, Radnicki NIS have 5 wins, 2 draws and 2 defeats; Radnik Surdulica have 2, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2016 | Napredak(home) | 1-1 | Super Liga |
| Sep 10, 2016 | FK Vozdovac(away) | 4-1 | Super Liga |
| Aug 27, 2016 | Mladost Lucani(home) | 2-0 | Super Liga |
| Aug 21, 2016 | Metalac GM(away) | 2-1 | Super Liga |
| Aug 14, 2016 | FK Crvena Zvezda(home) | 0-3 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | FK Vozdovac(home) | 3-1 | Super Liga |
| Sep 10, 2016 | Mladost Lucani(away) | 0-2 | Super Liga |
| Aug 26, 2016 | Metalac GM(home) | 0-1 | Super Liga |
| Aug 21, 2016 | FK Crvena Zvezda(away) | 0-5 | Super Liga |
| Aug 14, 2016 | Borac Cacak(home) | 1-1 | Super Liga |
How many goals should we expect?
Radnicki NIS score 1.7 and concede 1.1 goals per match over their last 9; Radnik Surdulica score 0.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Radnicki NIS | 1.7 | 1.1 | 3 | 5/9 | 6/9 |
| Radnik Surdulica | 0.9 | 1.6 | 1 | 4/9 | 4/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Radnicki NIS sit 13th in Super Liga (4 points from 5 matches) and Radnik Surdulica sit 7th (8 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Radnik Surdulica | 5 | 2 | 2 | 1 | 5 | 4 | 8 |
| 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