URA vs Buhimba Saints: result 7-3 and analysis
Premier LeagueRegular Season - 8Kick-off on November 26, 2025 at 02:00 PM (UTC)Mehta Stadium, Lugazi
Full time
What was the result of URA vs Buhimba Saints?
URA won 7-3 on November 26, 2025.
Goalscorers
- 31′Joseph SsemujjuURA
- 43′Nelson SenkatukaURA
- 45′628769URA
- 55′628770Buhimba Saints
- 59′613401Buhimba Saints
- 68′Fred AmakuURA
- 74′Fred AmakuURA
- 81′Fred AmakuURA
- 86′628771Buhimba Saints
- 90′Kabon LivingURA
What is the recent form of both teams?
Over their last 15 matches in all competitions, URA have 6 wins, 6 draws and 3 defeats; Buhimba Saints have 3, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2025 | KCCA(away) | 1-2 | Premier League |
| Nov 5, 2025 | Maroons(away) | 0-0 | Premier League |
| Oct 29, 2025 | UPDF(home) | 3-2 | Premier League |
| Oct 22, 2025 | Lugazi(away) | 0-0 | Premier League |
| Oct 17, 2025 | Express(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2025 | Mbarara City(home) | 1-2 | Premier League |
| Nov 8, 2025 | Lugazi(away) | 2-5 | Premier League |
| 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 |
How many goals should we expect?
URA score 1.5 and concede 0.7 goals per match over their last 15; Buhimba Saints score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| URA | 1.5 | 0.7 | 7 | 6/15 | 5/15 |
| Buhimba Saints | 1.0 | 1.9 | 3 | 2/7 | 4/7 |
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 | URA | 5 | 1 | 1 | 3 | 3 | 7 | 4 |
A question about URA 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