Metalac GM vs FK Crvena Zvezda: result 0-1 and analysis
Friendlies ClubsClub Friendlies 3Kick-off on July 20, 2020 at 05:00 PM (UTC)Stadion FK Metalac, Gornji Milanovac
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What was the result of Metalac GM vs FK Crvena Zvezda?
FK Crvena Zvezda won 0-1 on July 20, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalac GM have 9 wins, 2 draws and 4 defeats; FK Crvena Zvezda have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2020 | RAD(away) | 1-0 | Friendlies Clubs |
| Jul 7, 2020 | Indjija(away) | 3-0 | Friendlies Clubs |
| Jun 20, 2020 | Novi Pazar(home) | 2-0 | Prva Liga |
| Jun 13, 2020 | Grafičar(away) | 1-2 | Prva Liga |
| Jun 7, 2020 | Buducnost Dobanovci(home) | 1-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2020 | IMT Novi Beograd(home) | 2-0 | Friendlies Clubs |
| Jun 20, 2020 | Proleter Novi SAD(home) | 2-1 | Super Liga |
| Jun 14, 2020 | TSC Backa Topola(away) | 1-2 | Super Liga |
| Jun 6, 2020 | Radnik Surdulica(home) | 4-1 | Super Liga |
| May 29, 2020 | RAD(away) | 5-0 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Metalac GM win(s), 0 draw(s), 2 FK Crvena Zvezda win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2016 | Metalac GM 1-2 FK Crvena Zvezda | Super Liga |
| Jul 29, 2016 | FK Crvena Zvezda 3-1 Metalac GM | Super Liga |
Last archived meeting: Metalac GM vs FK Crvena Zvezda on Nov 26, 2016
How many goals should we expect?
Metalac GM score 1.4 and concede 1.1 goals per match over their last 15; FK Crvena Zvezda score 2.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalac GM | 1.4 | 1.1 | 7 | 7/15 | 8/15 |
| FK Crvena Zvezda | 2.1 | 0.5 | 8 | 6/15 | 8/15 |
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
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