Metalac GM vs Jagodina: result 1-0 and analysis
Prva LigaRegular Season - 29Kick-off on May 26, 2018 at 03:00 PM (UTC)Stadion FK Metalac, Gornji Milanovac
Full time
What was the result of Metalac GM vs Jagodina?
Metalac GM won 1-0 on May 26, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalac GM have 8 wins, 4 draws and 3 defeats; Jagodina have 0, 3 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2018 | CSK Pivara(away) | 3-1 | Prva Liga |
| May 12, 2018 | TSC Backa Topola(home) | 1-1 | Prva Liga |
| May 6, 2018 | Buducnost Dobanovci(home) | 1-1 | Prva Liga |
| May 2, 2018 | Dinamo Vranje(away) | 2-1 | Prva Liga |
| Apr 27, 2018 | Bezanija(home) | 0-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Buducnost Dobanovci(home) | 1-1 | Prva Liga |
| May 12, 2018 | Dinamo Vranje(away) | 0-3 | Prva Liga |
| May 7, 2018 | Bezanija(home) | 1-2 | Prva Liga |
| May 2, 2018 | Proleter Novi SAD(away) | 0-6 | Prva Liga |
| Apr 27, 2018 | Radnicki Pirot(home) | 0-0 | Prva Liga |
What does the head-to-head say?
In the last meeting: 1 Metalac GM win, 0 draws, 0 Jagodina wins.
| Date | Score | Competition |
|---|---|---|
| Nov 20, 2017 | Jagodina 0-2 Metalac GM | Prva Liga |
Last archived meeting: Jagodina vs Metalac GM on Nov 20, 2017
How many goals should we expect?
Metalac GM score 1.5 and concede 0.9 goals per match over their last 15; Jagodina score 0.4 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalac GM | 1.5 | 0.9 | 5 | 8/15 | 6/15 |
| Jagodina | 0.4 | 2.5 | 2 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Metalac GM | 14 | 5 | 3 | 6 | 17 | 20 | 18 |
A question about Metalac GM vs Jagodina?
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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