Metalac GM vs Napredak: result 2-0 and analysis
Super LigaRegular Season - 3Kick-off on August 6, 2016 at 06:00 PM (UTC)Stadion FK Metalac, Gornji Milanovac
Full time
What was the result of Metalac GM vs Napredak?
Metalac GM won 2-0 on August 6, 2016.
Goalscorers
- 30′98519Metalac GM
- 39′Milan StojanovićMetalac GM (pen.)
Official lineup for Metalac GM vs Napredak
The starting elevens fielded at kick-off.
Metalac GM
- 99W. Caicedo
- 3S. Panić
- 7Ersan Rovčanin
- 18M. Mijić
- 24Milan Stojanović
- 30A. Mitrović
- 14T. Bondarenko
- 15Vladimir Otašević
- 17Srđan Simović
- 25S. Nikodijević
- 33N. Belić
Napredak
- 17A. Vukanović
- 72I. N'Diaye
- 7Jovan Markoski
- 8Nenad Šljivić
- 3B. Varga
- 5M. Simonović
- 6Abraham Akwasi Frimpong
- 23J. Projić
- 27S. Urošević
- 77M. Gobeljić
- 35N. Petrović
What is the recent form of both teams?
Over their last 2 matches in all competitions, Metalac GM have 1 win, 0 draws and 1 defeat; Napredak have 1, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2016 | FK Crvena Zvezda(away) | 1-3 | Super Liga |
| Jul 23, 2016 | Borac Cacak(home) | 1-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2016 | FK Partizan(home) | 2-1 | Super Liga |
| Jul 22, 2016 | FK Crvena Zvezda(away) | 2-2 | Super Liga |
How many goals should we expect?
Metalac GM score 1.0 and concede 1.5 goals per match over their last 2; Napredak score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalac GM | 1.0 | 1.5 | 1 | 1/2 | 1/2 |
| Napredak | 2.0 | 1.5 | 0 | 2/2 | 2/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Napredak | 37 | 3 | 9 | 25 | 30 | 76 | 18 |
A question about Metalac GM vs Napredak?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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