Aluminij vs Mura: result 0-2 and analysis
1. SNLRegular Season - 15Kick-off on November 4, 2018 at 05:30 PM (UTC)Športni Park Aluminij, Kidričevo
Full time
What was the result of Aluminij vs Mura?
Mura won 0-2 on November 4, 2018.
Goalscorers
- 8′R. SirkMura
- 70′R. SirkMura
What is the recent form of both teams?
Over their last 14 matches in all competitions, Aluminij have 5 wins, 3 draws and 6 defeats; Mura have 4, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2018 | Rudar(away) | 2-3 | 1. SNL |
| Oct 20, 2018 | NK Domzale(home) | 0-0 | 1. SNL |
| Oct 6, 2018 | Maribor(away) | 1-2 | 1. SNL |
| Oct 1, 2018 | Triglav(home) | 2-0 | 1. SNL |
| Sep 27, 2018 | Celje(away) | 1-1 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2018 | Krško(away) | 0-2 | 1. SNL |
| Oct 20, 2018 | Rudar(home) | 2-1 | 1. SNL |
| Oct 6, 2018 | NK Domzale(away) | 2-2 | 1. SNL |
| Sep 30, 2018 | Maribor(home) | 4-1 | 1. SNL |
| Sep 27, 2018 | Triglav(away) | 0-3 | 1. SNL |
What does the head-to-head say?
Across the last 1 meetings: 0 Aluminij win(s), 0 draw(s), 1 Mura win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2018 | Mura 3-2 Aluminij | 1. SNL |
How many goals should we expect?
Aluminij score 1.5 and concede 1.6 goals per match over their last 14; Mura score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aluminij | 1.5 | 1.6 | 5 | 9/14 | 9/14 |
| Mura | 1.5 | 1.6 | 1 | 8/14 | 8/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Aluminij sit 3rd in 1. SNL (8 points from 5 matches) and Mura sit 3rd (1 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Mura | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
| 3 | Aluminij | 5 | 2 | 2 | 1 | 8 | 5 | 8 |
| 8 | Mura | 6 | 2 | 1 | 3 | 8 | 12 | 7 |
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