RAD vs Cukaricki: result 0-1 and analysis
Super LigaRegular Season - 7Kick-off on August 25, 2017 at 06:00 PM (UTC)Stadion Kralj Petar Prvi, Beograd
Full time
What was the result of RAD vs Cukaricki?
Cukaricki won 0-1 on August 25, 2017.
Goalscorers
- 65′O. MudrinskiCukaricki
What is the recent form of both teams?
Over their last 15 matches in all competitions, RAD have 5 wins, 2 draws and 8 defeats; Cukaricki have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Macva(away) | 2-1 | Super Liga |
| Aug 13, 2017 | Radnicki NIS(away) | 0-2 | Super Liga |
| Aug 9, 2017 | Zemun(home) | 2-0 | Super Liga |
| Aug 5, 2017 | Mladost Lucani(away) | 1-2 | Super Liga |
| Jul 30, 2017 | FK Crvena Zvezda(home) | 0-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Radnicki NIS(home) | 0-0 | Super Liga |
| Aug 13, 2017 | Zemun(away) | 0-2 | Super Liga |
| Aug 9, 2017 | Mladost Lucani(home) | 1-0 | Super Liga |
| Aug 6, 2017 | FK Crvena Zvezda(away) | 0-3 | Super Liga |
| Jul 29, 2017 | Napredak(home) | 2-0 | Super Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 RAD win(s), 2 draw(s), 0 Cukaricki win(s).
| Date | Score | Competition |
|---|---|---|
| May 21, 2017 | Cukaricki 0-1 RAD | Super Liga |
| Mar 8, 2017 | Cukaricki 1-1 RAD | Super Liga |
| Sep 24, 2016 | RAD 1-1 Cukaricki | Super Liga |
How many goals should we expect?
RAD score 0.8 and concede 1.5 goals per match over their last 15; Cukaricki score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RAD | 0.8 | 1.5 | 4 | 5/15 | 7/15 |
| Cukaricki | 1.4 | 1.0 | 6 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Cukaricki | 6 | 3 | 1 | 2 | 9 | 7 | 10 |
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