Rudar vs Aluminij: result 3-2 and analysis
1. SNLRegular Season - 14Kick-off on October 28, 2018 at 05:00 PM (UTC)Štadion Ob Jezeru, Velenje
Full time
What was the result of Rudar vs Aluminij?
Rudar won 3-2 on October 28, 2018.
Goalscorers
- 14′F. TahirajAluminij
- 41′D. RadićRudar
- 46′K. BolhaRudar
- 55′Ž. ŠkoflekRudar
- 90′Tadej TrdinaAluminij
What is the recent form of both teams?
Over their last 13 matches in all competitions, Rudar have 3 wins, 2 draws and 8 defeats; Aluminij have 5, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Mura(away) | 1-2 | 1. SNL |
| Oct 5, 2018 | Krško(away) | 0-0 | 1. SNL |
| Sep 30, 2018 | NK Domzale(home) | 2-1 | 1. SNL |
| Sep 27, 2018 | Maribor(away) | 0-3 | 1. SNL |
| Sep 23, 2018 | Triglav(away) | 2-1 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 23, 2018 | Olimpija Ljubljana(away) | 1-3 | 1. SNL |
What does the head-to-head say?
In the last meeting: 0 Rudar wins, 0 draws, 1 Aluminij win.
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2018 | Aluminij 3-0 Rudar | 1. SNL |
How many goals should we expect?
Rudar score 0.8 and concede 2.2 goals per match over their last 13; Aluminij score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudar | 0.8 | 2.2 | 1 | 6/13 | 9/13 |
| Aluminij | 1.5 | 1.5 | 5 | 8/13 | 8/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Aluminij | 11 | 3 | 4 | 4 | 16 | 12 | 13 |
A question about Rudar vs Aluminij?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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