Vipava vs Litija: result 0-4 and analysis
3. SNL - WestWest - 8Kick-off on October 4, 2026 at 01:30 PM (UTC)Stadion ob Beli, Vipava
Full time
What was the result of Vipava vs Litija?
Litija won 0-4 on October 4, 2026.
Goalscorers
- 1′678811Litija
- 18′678810Litija
- 48′678810Litija
- 89′J. ŽavbiLitija
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipava have 4 wins, 4 draws and 7 defeats; Litija have 6, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2026 | Šobec Lesce(away) | 3-2 | 3. SNL - West |
| Sep 20, 2026 | Zidgrad Idrija(home) | 2-3 | 3. SNL - West |
| Sep 12, 2026 | Svoboda(away) | 5-3 | 3. SNL - West |
| Sep 6, 2026 | Rudar Trbovlje(home) | 2-3 | 3. SNL - West |
| Aug 29, 2026 | Izola(away) | 0-11 | 3. SNL - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2026 | Adria(home) | 3-0 | 3. SNL - West |
| Sep 19, 2026 | IB 1975 Ljubljana(away) | 3-0 | 3. SNL - West |
| Sep 12, 2026 | Šobec Lesce(away) | 1-1 | 3. SNL - West |
| Sep 5, 2026 | Zidgrad Idrija(home) | 0-0 | 3. SNL - West |
| Aug 30, 2026 | Svoboda(away) | 3-0 | 3. SNL - West |
How many goals should we expect?
Vipava score 1.4 and concede 2.5 goals per match over their last 15; Litija score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipava | 1.4 | 2.5 | 2 | 9/15 | 9/15 |
| Litija | 1.5 | 1.6 | 6 | 3/13 | 8/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Vipava sit 12th in 3. SNL - West (6 points from 9 matches) and Litija sit 5th (15 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Litija | 9 | 4 | 3 | 2 | 16 | 8 | 15 |
| 12 | Vipava | 9 | 2 | 0 | 7 | 14 | 41 | 6 |
A question about Vipava vs Litija?
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