Borac Banja Luka vs ML Vitebsk: result 1-0 and analysis
UEFA Europa Conference League3rd Qualifying RoundKick-off on August 6, 2026 at 06:30 PM (UTC)Gradski Stadion, Banja Luka
Full time
What was the result of Borac Banja Luka vs ML Vitebsk?
Borac Banja Luka won 1-0 on August 6, 2026.
Goalscorers
- 14′S. SavićBorac Banja Luka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Borac Banja Luka have 9 wins, 5 draws and 1 defeats; ML Vitebsk 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 |
|---|---|---|---|
| Jul 30, 2026 | Petrocub(away) | 3-3 | UEFA Europa Conference League |
| Jul 23, 2026 | Petrocub(home) | 3-0 | UEFA Europa Conference League |
| Jul 14, 2026 | Levski Sofia(away) | 0-4 | UEFA Champions League |
| Jul 7, 2026 | Levski Sofia(home) | 1-1 | UEFA Champions League |
| May 26, 2026 | Posušje(home) | 2-0 | Premijer Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2026 | Sutjeska(away) | 2-1 | UEFA Europa Conference League |
| Jul 23, 2026 | Sutjeska(home) | 3-0 | UEFA Europa Conference League |
| Jul 15, 2026 | Universitatea Craiova(away) | 0-1 | UEFA Champions League |
| Jul 8, 2026 | Universitatea Craiova(home) | 1-4 | UEFA Champions League |
| Jul 2, 2026 | Slavia Mozyr(away) | 4-2 | Premier League |
How many goals should we expect?
Borac Banja Luka score 1.6 and concede 0.8 goals per match over their last 15; ML Vitebsk score 2.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borac Banja Luka | 1.6 | 0.8 | 9 | 5/15 | 6/15 |
| ML Vitebsk | 2.2 | 1.4 | 3 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 20 | Borac Banja Luka | 6 | 2 | 2 | 2 | 4 | 7 | 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