Aluminij vs Beltinci: result 2-1 and analysis
2. SNLRegular Season - 12Kick-off on October 25, 2024 at 02:00 PM (UTC)Športni Park Aluminij, Kidričevo
Full time
What was the result of Aluminij vs Beltinci?
Aluminij won 2-1 on October 25, 2024.
Goalscorers
- 15′D. IkennaBeltinci
- 40′J. DomjanAluminij
- 85′M. TanyiAluminij
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aluminij have 10 wins, 2 draws and 3 defeats; Beltinci have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2024 | Gorica(away) | 1-1 | 2. SNL |
| Oct 11, 2024 | Ilirija(home) | 3-1 | 2. SNL |
| Oct 4, 2024 | Slovan Ljubljana(home) | 2-0 | 2. SNL |
| Sep 29, 2024 | Dravinja(away) | 2-1 | 2. SNL |
| Sep 24, 2024 | Hajdina(away) | 4-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2024 | Dravinja(home) | 0-0 | 2. SNL |
| Oct 12, 2024 | Dekani(away) | 0-2 | 2. SNL |
| Oct 5, 2024 | Tolmin(home) | 2-0 | 2. SNL |
| Sep 29, 2024 | Krka(away) | 0-1 | 2. SNL |
| Sep 22, 2024 | Bilje(home) | 2-1 | 2. SNL |
What does the head-to-head say?
Across the last 2 meetings: 1 Aluminij win(s), 1 draw(s), 0 Beltinci win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2023 | Aluminij 2-0 Beltinci | 2. SNL |
| Oct 2, 2022 | Beltinci 2-2 Aluminij | 2. SNL |
How many goals should we expect?
Aluminij score 2.0 and concede 1.1 goals per match over their last 15; Beltinci score 2.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aluminij | 2.0 | 1.1 | 4 | 10/15 | 10/15 |
| Beltinci | 2.2 | 1.0 | 7 | 5/15 | 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 | Beltinci | 3 | 2 | 0 | 1 | 7 | 3 | 6 |
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