Calvary vs SC Villa: prediction and stats
Premier LeagueRegular Season - 18Kick-off on March 2, 2026 at 01:00 PM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Calvary have 0 wins, 5 draws and 10 defeats; SC Villa have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jan 27, 2026 | URA(home) | 0-0 | Premier League |
| Jan 21, 2026 | Police(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2026 | Maroons(home) | 2-0 | Premier League |
| Feb 14, 2026 | URA(away) | 0-0 | Premier League |
| Jan 31, 2026 | Lugazi(home) | 0-0 | Premier League |
| Jan 28, 2026 | Mbarara City(home) | 6-1 | Premier League |
| Jan 23, 2026 | BUL(away) | 1-2 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Calvary wins, 0 draws, 1 SC Villa win.
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2025 | SC Villa 1-0 Calvary | Premier League |
How many goals should we expect?
Calvary score 0.3 and concede 1.4 goals per match over their last 15; SC Villa score 1.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calvary | 0.3 | 1.4 | 4 | 3/15 | 3/15 |
| SC Villa | 1.6 | 0.5 | 9 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | SC Villa | 7 | 5 | 2 | 0 | 16 | 3 | 17 |
A question about Calvary vs SC Villa?
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