Beltinci vs Radomlje: result 1-3 and analysis
CupRound of 32Kick-off on October 29, 2025 at 01:00 PM (UTC)Športni park Beltinci, Beltinci
Full time
What was the result of Beltinci vs Radomlje?
Radomlje won 1-3 on October 29, 2025.
Goalscorers
- 9′S. KrapukhinRadomlje
- 12′N. MocnikBeltinci
- 53′D. VokićRadomlje
- 59′N. GrajRadomlje (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Beltinci have 8 wins, 2 draws and 5 defeats; Radomlje have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2025 | Bistrica(away) | 1-0 | 2. SNL |
| Oct 19, 2025 | Tabor Sežana(home) | 1-2 | 2. SNL |
| Oct 12, 2025 | Dekani(away) | 1-0 | 2. SNL |
| Oct 4, 2025 | Jesenice(home) | 5-1 | 2. SNL |
| Sep 27, 2025 | Krško(away) | 3-0 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2025 | Koper(home) | 1-1 | 1. SNL |
| Oct 18, 2025 | NK Domzale(away) | 1-1 | 1. SNL |
| Oct 5, 2025 | Celje(home) | 0-3 | 1. SNL |
| Sep 26, 2025 | Aluminij(away) | 1-2 | 1. SNL |
| Sep 21, 2025 | Mura(away) | 0-0 | 1. SNL |
What does the head-to-head say?
Across the last 5 meetings: 1 Beltinci win(s), 0 draw(s), 4 Radomlje win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 27, 2021 | Beltinci 0-2 Radomlje | 2. SNL |
| Nov 23, 2019 | Beltinci 0-3 Radomlje | 2. SNL |
| Aug 17, 2019 | Radomlje 4-0 Beltinci | 2. SNL |
| Apr 7, 2019 | Beltinci 2-0 Radomlje | 2. SNL |
| Sep 15, 2018 | Radomlje 4-1 Beltinci | 2. SNL |
How many goals should we expect?
Beltinci score 1.9 and concede 1.3 goals per match over their last 15; Radomlje score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Beltinci | 1.9 | 1.3 | 7 | 7/15 | 11/15 |
| Radomlje | 1.1 | 1.9 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
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