Indjija vs Metalac GM: result 1-0 and analysis
Prva LigaRegular Season - 19Kick-off on April 1, 2018 at 01:30 PM (UTC)Toyo Tires Arena, Inđija
Full time
What was the result of Indjija vs Metalac GM?
Indjija won 1-0 on April 1, 2018.
Goalscorers
- 59′Slađan NikodijevićIndjija (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Indjija have 5 wins, 4 draws and 6 defeats; Metalac GM have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2018 | Buducnost Dobanovci(away) | 0-1 | Prva Liga |
| Mar 17, 2018 | Dinamo Vranje(home) | 2-1 | Prva Liga |
| Mar 10, 2018 | Bezanija(away) | 0-0 | Prva Liga |
| Nov 24, 2017 | Proleter Novi SAD(away) | 0-1 | Prva Liga |
| Nov 17, 2017 | Radnicki Pirot(home) | 1-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2018 | Teleoptik(home) | 2-3 | Prva Liga |
| Mar 19, 2018 | Radnicki 1923(away) | 1-0 | Prva Liga |
| Mar 9, 2018 | Novi Pazar(home) | 1-1 | Prva Liga |
| Nov 26, 2017 | Sindjelic Beograd(home) | 3-0 | Prva Liga |
| Nov 20, 2017 | Jagodina(away) | 2-0 | Prva Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Indjija win(s), 0 draw(s), 1 Metalac GM win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2017 | Metalac GM 2-0 Indjija | Prva Liga |
Last archived meeting: Metalac GM vs Indjija on Sep 10, 2017
How many goals should we expect?
Indjija score 0.9 and concede 1.0 goals per match over their last 15; Metalac GM score 1.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Indjija | 0.9 | 1.0 | 6 | 5/15 | 3/15 |
| Metalac GM | 1.7 | 0.5 | 11 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Metalac GM | 5 | 1 | 1 | 3 | 4 | 7 | 4 |
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