Mura vs Aluminij: result 3-2 and analysis
1. SNLRegular Season - 6Kick-off on August 26, 2018 at 12:30 PM (UTC)Mestni Štadion Fazanerija, Murska Sobota
Full time
What was the result of Mura vs Aluminij?
Mura won 3-2 on August 26, 2018.
Goalscorers
- 7′R. SirkMura
- 21′R. SirkMura
- 54′R. SirkMura
- 87′F. TahirajAluminij
- 90′M. KeneAluminij
What is the recent form of both teams?
Over their last 5 matches in all competitions, Mura have 1 win, 2 draws and 2 defeats; Aluminij have 3, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2018 | Krško(home) | 0-1 | 1. SNL |
| Aug 13, 2018 | Rudar(away) | 2-3 | 1. SNL |
| Aug 5, 2018 | NK Domzale(home) | 5-1 | 1. SNL |
| Jul 29, 2018 | Maribor(away) | 0-0 | 1. SNL |
| Jul 21, 2018 | Triglav(home) | 1-1 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | Rudar(home) | 3-0 | 1. SNL |
| Aug 12, 2018 | NK Domzale(away) | 1-3 | 1. SNL |
| Aug 5, 2018 | Maribor(home) | 2-5 | 1. SNL |
| Jul 28, 2018 | Triglav(away) | 3-1 | 1. SNL |
| Jul 20, 2018 | Celje(home) | 2-1 | 1. SNL |
How many goals should we expect?
Mura score 1.6 and concede 1.2 goals per match over their last 5; Aluminij score 2.2 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mura | 1.6 | 1.2 | 1 | 3/5 | 2/5 |
| Aluminij | 2.2 | 2.0 | 1 | 4/5 | 5/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Mura sit 9th in 1. SNL (10 points from 11 matches) and Aluminij sit 7th (13 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Aluminij | 11 | 3 | 4 | 4 | 16 | 12 | 13 |
| 9 | Mura | 11 | 2 | 4 | 5 | 13 | 24 | 10 |
A question about Mura vs Aluminij?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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