Vipers vs Buhimba Saints: result 4-0 and analysis
Premier LeagueRegular Season - 15Kick-off on January 30, 2026 at 01:00 PM (UTC)St. Mary's Stadium, Kitende
Full time
What was the result of Vipers vs Buhimba Saints?
Vipers won 4-0 on January 30, 2026.
Goalscorers
- 1′Milton KarisaVipers
- 16′K. WatambalaVipers
- 39′Milton KarisaVipers
- 61′Abubakali WalusimbiVipers
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipers have 10 wins, 4 draws and 1 defeat; Buhimba Saints have 4, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2026 | Police(home) | 4-1 | Premier League |
| Jan 24, 2026 | URA(away) | 3-0 | Premier League |
| Jan 6, 2026 | Mbarara City(home) | 2-0 | Premier League |
| Dec 17, 2025 | Lugazi(away) | 2-1 | Premier League |
| Dec 13, 2025 | BUL(home) | 3-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2026 | NEC(home) | 0-1 | Premier League |
| Jan 24, 2026 | Express(away) | 1-3 | Premier League |
| Jan 6, 2026 | Maroons(home) | 1-0 | Premier League |
| Dec 16, 2025 | KCCA(away) | 0-1 | Premier League |
| Dec 10, 2025 | UPDF(home) | 2-2 | Premier League |
How many goals should we expect?
Vipers score 2.0 and concede 0.7 goals per match over their last 15; Buhimba Saints score 1.0 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipers | 2.0 | 0.7 | 6 | 9/15 | 8/15 |
| Buhimba Saints | 1.0 | 2.2 | 4 | 5/14 | 8/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Vipers | 4 | 2 | 1 | 1 | 8 | 2 | 7 |
A question about Vipers 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