Mladost Lucani vs Macva: result 2-0 and analysis
Super LigaRegular Season - 15Kick-off on October 29, 2017 at 04:00 PM (UTC)Mladost Stadium Lučani, Lučani
Full time
What was the result of Mladost Lucani vs Macva?
Mladost Lucani won 2-0 on October 29, 2017.
Goalscorers
- 17′J. TumbasevićMladost Lucani
- 89′P. PavlovićMladost Lucani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mladost Lucani have 4 wins, 3 draws and 8 defeats; Macva have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | FK Crvena Zvezda(away) | 1-2 | Super Liga |
| Oct 15, 2017 | Napredak(home) | 2-1 | Super Liga |
| Sep 29, 2017 | Vojvodina(away) | 0-2 | Super Liga |
| Sep 24, 2017 | FK Vozdovac(home) | 1-3 | Super Liga |
| Sep 17, 2017 | FK Spartak Zdrepceva KRV(away) | 3-3 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Borac Cacak(home) | 1-0 | Super Liga |
| Oct 14, 2017 | FK Crvena Zvezda(away) | 0-4 | Super Liga |
| Sep 30, 2017 | Backa(home) | 1-1 | Super Liga |
| Sep 24, 2017 | Napredak(away) | 1-3 | Super Liga |
| Sep 17, 2017 | Radnik Surdulica(home) | 4-0 | Super Liga |
How many goals should we expect?
Mladost Lucani score 1.2 and concede 1.5 goals per match over their last 15; Macva score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost Lucani | 1.2 | 1.5 | 2 | 8/15 | 9/15 |
| Macva | 1.3 | 1.7 | 5 | 6/15 | 8/15 |
Over the last 15 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 Macva sit 10th (6 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mladost Lucani | 6 | 2 | 4 | 0 | 7 | 4 | 10 |
| 10 | Macva | 6 | 2 | 0 | 4 | 4 | 12 | 6 |
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