Aluminij vs Gorica: result 3-1 and analysis
1. SNLRegular Season - 26Kick-off on April 11, 2019 at 01:45 PM (UTC)Športni Park Aluminij, Kidričevo
Full time
What was the result of Aluminij vs Gorica?
Aluminij won 3-1 on April 11, 2019.
Goalscorers
- 2′L. ŠtorAluminij
- 55′E. VelikonjaGorica (pen.)
- 57′L. ŠtorAluminij
- 85′S. MuminovićAluminij
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aluminij have 6 wins, 2 draws and 7 defeats; Gorica have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2019 | Krško(home) | 1-1 | 1. SNL |
| Mar 31, 2019 | Mura(away) | 0-3 | 1. SNL |
| Mar 17, 2019 | Rudar(home) | 4-0 | 1. SNL |
| Mar 10, 2019 | NK Domzale(away) | 0-3 | 1. SNL |
| Mar 3, 2019 | Maribor(home) | 0-1 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2019 | Mura(home) | 0-1 | 1. SNL |
| Mar 30, 2019 | Rudar(away) | 2-2 | 1. SNL |
| Mar 17, 2019 | NK Domzale(home) | 2-1 | 1. SNL |
| Mar 9, 2019 | Maribor(away) | 1-2 | 1. SNL |
| Mar 3, 2019 | Triglav(home) | 1-2 | 1. SNL |
What does the head-to-head say?
Across the last 2 meetings: 1 Aluminij win(s), 1 draw(s), 0 Gorica win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2018 | Gorica 0-1 Aluminij | 1. SNL |
| Sep 15, 2018 | Aluminij 0-0 Gorica | 1. SNL |
How many goals should we expect?
Aluminij score 1.6 and concede 1.5 goals per match over their last 15; Gorica score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aluminij | 1.6 | 1.5 | 4 | 6/15 | 9/15 |
| Gorica | 1.2 | 1.9 | 0 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Aluminij | 5 | 2 | 2 | 1 | 8 | 5 | 8 |
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