Lweza vs URA: result 1-1 and analysis
Premier LeagueRegular Season - 20Kick-off on March 15, 2016 at 03:30 PM (UTC)Mutesa II Wankulukuku Stadium, Kampala
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What was the result of Lweza vs URA?
Lweza and URA drew 1-1 on March 15, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lweza have 7 wins, 4 draws and 4 defeats; URA have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2016 | Vipers(home) | 2-1 | Premier League |
| Mar 5, 2016 | Maroons(away) | 2-0 | Premier League |
| Feb 28, 2016 | Bright Stars(home) | 0-1 | Premier League |
| Feb 23, 2016 | Police(away) | 2-1 | Premier League |
| Dec 29, 2015 | URA(away) | 0-4 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2016 | Maroons(home) | 3-0 | Premier League |
| Mar 5, 2016 | Bright Stars(away) | 0-0 | Premier League |
| Feb 26, 2016 | Police(home) | 2-0 | Premier League |
| Feb 23, 2016 | KCCA(away) | 1-3 | Premier League |
| Dec 29, 2015 | Lweza(home) | 4-0 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 0 Lweza wins, 1 draw, 2 URA wins.
| Date | Score | Competition |
|---|---|---|
| Dec 29, 2015 | URA 4-0 Lweza | Premier League |
| Mar 6, 2015 | URA 0-0 Lweza | Premier League |
| Oct 31, 2014 | Lweza 2-4 URA | Premier League |
How many goals should we expect?
Lweza score 1.0 and concede 0.9 goals per match over their last 15; URA score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lweza | 1.0 | 0.9 | 4 | 7/15 | 6/15 |
| URA | 1.5 | 1.2 | 5 | 9/15 | 8/15 |
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 Lweza 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