Vipers vs Calvary: result 1-0 and analysis
Premier LeagueRegular Season - 21Kick-off on March 14, 2026 at 05:00 PM (UTC)St. Mary's Stadium, Kitende
Full time
What was the result of Vipers vs Calvary?
Vipers won 1-0 on March 14, 2026.
Goalscorers
- 86′Gusto MulongoVipers
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipers have 10 wins, 5 draws and 0 defeats; Calvary have 0, 4 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2026 | UPDF(away) | 2-1 | Premier League |
| Mar 7, 2026 | Mbarara City(away) | 2-1 | Premier League |
| Mar 3, 2026 | Lugazi(home) | 3-0 | Premier League |
| Feb 17, 2026 | NEC(home) | 1-1 | Premier League |
| Feb 13, 2026 | BUL(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2026 | Maroons(home) | 0-1 | Premier League |
| Mar 6, 2026 | BUL(away) | 1-5 | Premier League |
| Feb 18, 2026 | Express(home) | 0-0 | Premier League |
| Feb 12, 2026 | Mbarara City(away) | 0-1 | Premier League |
| Jan 31, 2026 | Kitara(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Vipers wins, 1 draw, 0 Calvary wins.
| Date | Score | Competition |
|---|---|---|
| Dec 9, 2025 | Calvary 0-0 Vipers | Premier League |
How many goals should we expect?
Vipers score 2.3 and concede 0.7 goals per match over their last 15; Calvary score 0.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipers | 2.3 | 0.7 | 5 | 10/15 | 9/15 |
| Calvary | 0.3 | 1.5 | 3 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Vipers | 5 | 3 | 1 | 1 | 13 | 2 | 10 |
A question about Vipers vs Calvary?
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