The Saints vs URA: result 0-2 and analysis
Premier LeagueRegular Season - 10Kick-off on October 18, 2016 at 01:30 PM (UTC)Bombo Stadium, Bombo
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What was the result of The Saints vs URA?
URA won 0-2 on October 18, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, The Saints have 6 wins, 3 draws and 6 defeats; URA have 4, 8 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2016 | SC Villa(away) | 1-2 | Premier League |
| Oct 1, 2016 | Bright Stars(home) | 1-1 | Premier League |
| Sep 27, 2016 | Police(away) | 1-0 | Premier League |
| Sep 24, 2016 | Busoga United(home) | 1-0 | Premier League |
| Sep 20, 2016 | KCCA(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Onduparaka(home) | 3-1 | Premier League |
| Oct 1, 2016 | Tooro United(away) | 0-0 | Premier League |
| Sep 27, 2016 | Sadolin Paints(home) | 1-2 | Premier League |
| Sep 24, 2016 | Proline(away) | 1-1 | Premier League |
| Sep 20, 2016 | Lweza(home) | 2-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 The Saints win, 1 draw, 0 URA wins.
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2016 | The Saints 1-1 URA | Premier League |
| Oct 31, 2015 | URA 0-1 The Saints | Premier League |
How many goals should we expect?
The Saints score 0.9 and concede 0.9 goals per match over their last 15; URA score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| The Saints | 0.9 | 0.9 | 6 | 6/15 | 4/15 |
| URA | 1.5 | 0.9 | 4 | 10/15 | 7/15 |
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 The Saints vs URA?
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