Borac Cacak vs Metalac GM: result 1-2 and analysis
Super LigaRegular Season - 16Kick-off on November 19, 2016 at 12:30 PM (UTC)Stadion Borca kraj Morave, Čačak
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What was the result of Borac Cacak vs Metalac GM?
Metalac GM won 1-2 on November 19, 2016.
Goalscorers
- 41′Milan StojanovićMetalac GM
- 87′Ivica JovanovićMetalac GM
- 90′Thiago Galvão da SilvaBorac Cacak
What is the recent form of both teams?
Over their last 15 matches in all competitions, Borac Cacak have 1 wins, 5 draws and 9 defeats; Metalac GM have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | FK Crvena Zvezda(home) | 0-1 | Super Liga |
| Oct 30, 2016 | Napredak(away) | 1-3 | Super Liga |
| Oct 22, 2016 | RAD(away) | 0-2 | Super Liga |
| Oct 15, 2016 | FK Spartak Zdrepceva KRV(home) | 3-3 | Super Liga |
| Oct 2, 2016 | Cukaricki(away) | 1-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | RAD(away) | 1-1 | Super Liga |
| Oct 30, 2016 | FK Spartak Zdrepceva KRV(home) | 0-0 | Super Liga |
| Oct 22, 2016 | Cukaricki(away) | 1-2 | Super Liga |
| Oct 15, 2016 | Javor(home) | 1-1 | Super Liga |
| Oct 2, 2016 | Vojvodina(away) | 0-1 | Super Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Borac Cacak win(s), 0 draw(s), 1 Metalac GM win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 23, 2016 | Metalac GM 1-0 Borac Cacak | Super Liga |
Last archived meeting: Metalac GM vs Borac Cacak on Jul 23, 2016
How many goals should we expect?
Borac Cacak score 0.7 and concede 1.5 goals per match over their last 15; Metalac GM score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borac Cacak | 0.7 | 1.5 | 1 | 7/15 | 4/15 |
| Metalac GM | 0.7 | 0.8 | 7 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
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