URA vs The Saints: result 0-1 and analysis
Premier LeagueRegular Season - 9Kick-off on October 31, 2015 at 01:00 PM (UTC)Mehta Stadium, Lugazi
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What was the result of URA vs The Saints?
The Saints won 0-1 on October 31, 2015.
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; The Saints have 0, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2015 | Simba(away) | 1-1 | Premier League |
| Oct 3, 2015 | Sadolin Paints(home) | 1-4 | Premier League |
| Sep 29, 2015 | SCVU(away) | 1-2 | Premier League |
| Sep 22, 2015 | Express(away) | 0-0 | Premier League |
| Sep 9, 2015 | Tooro United(home) | 3-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2015 | Maroons(away) | 0-1 | Premier League |
| Sep 22, 2015 | Bright Stars(home) | 0-1 | Premier League |
| Sep 15, 2015 | JMC Hippos(away) | 0-0 | Premier League |
| Sep 9, 2015 | Police(away) | 1-1 | Premier League |
| Aug 29, 2015 | KCCA(home) | 0-1 | Premier League |
How many goals should we expect?
URA score 1.1 and concede 1.0 goals per match over their last 15; The Saints score 0.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| URA | 1.1 | 1.0 | 5 | 9/15 | 7/15 |
| The Saints | 0.2 | 1.2 | 1 | 1/6 | 1/6 |
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 The Saints?
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