Lugazi vs Buhimba Saints: result 5-2 and analysis
Premier LeagueRegular Season - 6Kick-off on November 8, 2025 at 01:00 PM (UTC)Lugazi FC Stadium, Najjembe
Full time
What was the result of Lugazi vs Buhimba Saints?
Lugazi won 5-2 on November 8, 2025.
Goalscorers
- 32′628766Lugazi
- 45′628326Lugazi (pen.)
- 48′613400Buhimba Saints
- 51′Richard AyikoBuhimba Saints (o.g.)
- 75′Freedom MunguditLugazi
- 79′Freedom MunguditLugazi
- 85′628767Lugazi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lugazi have 2 wins, 4 draws and 9 defeats; Buhimba Saints have 3, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2025 | Kitara(away) | 0-4 | Premier League |
| Oct 22, 2025 | URA(home) | 0-0 | Premier League |
| Oct 16, 2025 | KCCA(away) | 0-0 | Premier League |
| Oct 1, 2025 | Entebbe UPPC(away) | 1-2 | Premier League |
| Sep 26, 2025 | Calvary(home) | 3-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2025 | SC Villa(home) | 0-3 | Premier League |
| Oct 23, 2025 | BUL(away) | 0-3 | Premier League |
| Oct 16, 2025 | Kitara(home) | 1-0 | Premier League |
| Oct 4, 2025 | Calvary(home) | 2-0 | Premier League |
| Sep 26, 2025 | Entebbe UPPC(away) | 1-0 | Premier League |
How many goals should we expect?
Lugazi score 0.6 and concede 1.6 goals per match over their last 15; Buhimba Saints score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lugazi | 0.6 | 1.6 | 3 | 4/15 | 7/15 |
| Buhimba Saints | 0.8 | 1.2 | 3 | 0/5 | 2/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Lugazi | 10 | 2 | 2 | 6 | 6 | 15 | 8 |
A question about Lugazi vs Buhimba Saints?
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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