URA vs Calvary: result 1-1 and analysis
Premier LeagueRegular Season - 28Kick-off on May 12, 2026 at 02:00 PM (UTC)Mehta Stadium, Lugazi
Full time
What was the result of URA vs Calvary?
URA and Calvary drew 1-1 on May 12, 2026.
Goalscorers
- 26′Ronald OttiURA
- 40′613040Calvary
What is the recent form of both teams?
Over their last 15 matches in all competitions, URA have 2 wins, 9 draws and 4 defeats; Calvary have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2026 | Vipers(away) | 1-1 | Premier League |
| Apr 28, 2026 | Maroons(home) | 2-2 | Premier League |
| Apr 24, 2026 | UPDF(away) | 0-0 | Premier League |
| Apr 21, 2026 | Police(away) | 1-2 | Premier League |
| Apr 16, 2026 | BUL(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2026 | Police(home) | 1-0 | Premier League |
| Apr 29, 2026 | Entebbe UPPC(away) | 0-2 | Premier League |
| Apr 25, 2026 | KCCA(home) | 1-0 | Premier League |
| Apr 22, 2026 | Kitara(away) | 0-0 | Premier League |
| Apr 15, 2026 | Lugazi(home) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 URA wins, 1 draw, 0 Calvary wins.
| Date | Score | Competition |
|---|---|---|
| Jan 27, 2026 | Calvary 0-0 URA | Premier League |
How many goals should we expect?
URA score 0.7 and concede 0.9 goals per match over their last 15; Calvary score 0.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| URA | 0.7 | 0.9 | 7 | 6/15 | 4/15 |
| Calvary | 0.3 | 0.9 | 7 | 1/15 | 1/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | URA | 5 | 1 | 1 | 3 | 3 | 7 | 4 |
A question about URA 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