Mladost Lucani vs Cukaricki: result 2-0 and analysis
Super LigaRegular Season - 14Kick-off on October 30, 2016 at 04:00 PM (UTC)Mladost Stadium Lučani, Lučani
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What was the result of Mladost Lucani vs Cukaricki?
Mladost Lucani won 2-0 on October 30, 2016.
Goalscorers
- 39′V. RadivojevićMladost Lucani
- 79′M. BojovićMladost Lucani (pen.)
What is the recent form of both teams?
Over their last 13 matches in all competitions, Mladost Lucani have 7 wins, 1 draws and 5 defeats; Cukaricki have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Javor(away) | 1-1 | Super Liga |
| Oct 16, 2016 | Vojvodina(home) | 2-0 | Super Liga |
| Oct 2, 2016 | FK Partizan(away) | 1-3 | Super Liga |
| Sep 25, 2016 | Backa(home) | 1-0 | Super Liga |
| Sep 17, 2016 | Novi Pazar(away) | 2-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Metalac GM(home) | 2-1 | Super Liga |
| Oct 16, 2016 | FK Crvena Zvezda(away) | 1-3 | Super Liga |
| Oct 2, 2016 | Borac Cacak(home) | 1-1 | Super Liga |
| Sep 24, 2016 | RAD(away) | 1-1 | Super Liga |
| Sep 17, 2016 | FK Spartak Zdrepceva KRV(home) | 2-4 | Super Liga |
How many goals should we expect?
Mladost Lucani score 1.2 and concede 1.2 goals per match over their last 13; Cukaricki score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost Lucani | 1.2 | 1.2 | 5 | 5/13 | 4/13 |
| Cukaricki | 0.8 | 1.5 | 3 | 9/15 | 6/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Mladost Lucani sit 4th in Super Liga (10 points from 6 matches) and Cukaricki sit 5th (10 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mladost Lucani | 6 | 2 | 4 | 0 | 7 | 4 | 10 |
| 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