Rudar vs Aluminij: result 3-0 and analysis
1. SNLRegular Season - 32Kick-off on May 10, 2019 at 04:00 PM (UTC)Štadion Ob Jezeru, Velenje
Full time
What was the result of Rudar vs Aluminij?
Rudar won 3-0 on May 10, 2019.
Goalscorers
- 50′R. KobiljarRudar
- 57′R. KobiljarRudar
- 74′Ž. ŠkoflekRudar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rudar have 5 wins, 3 draws and 7 defeats; Aluminij have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2019 | Mura(away) | 3-3 | 1. SNL |
| May 2, 2019 | Krško(away) | 2-1 | 1. SNL |
| Apr 27, 2019 | NK Domzale(home) | 1-2 | 1. SNL |
| Apr 20, 2019 | Maribor(away) | 1-3 | 1. SNL |
| Apr 13, 2019 | Triglav(away) | 4-0 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | NK Domzale(home) | 0-3 | 1. SNL |
| May 1, 2019 | Maribor(away) | 1-1 | 1. SNL |
| Apr 27, 2019 | Triglav(home) | 2-1 | 1. SNL |
| Apr 19, 2019 | Celje(away) | 0-1 | 1. SNL |
| Apr 14, 2019 | Olimpija Ljubljana(away) | 0-2 | 1. SNL |
What does the head-to-head say?
Across the last 3 meetings: 1 Rudar win(s), 0 draw(s), 2 Aluminij win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 17, 2019 | Aluminij 4-0 Rudar | 1. SNL |
| Oct 28, 2018 | Rudar 3-2 Aluminij | 1. SNL |
| Aug 18, 2018 | Aluminij 3-0 Rudar | 1. SNL |
How many goals should we expect?
Rudar score 1.6 and concede 2.2 goals per match over their last 15; 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 | 1.6 | 2.2 | 3 | 9/15 | 12/15 |
| Aluminij | 1.5 | 1.5 | 2 | 6/15 | 9/15 |
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