URA vs JMC Hippos: result 2-0 and analysis
Premier LeagueRegular Season - 25Kick-off on April 12, 2016 at 01:30 PM (UTC)Mehta Stadium, Lugazi
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What was the result of URA vs JMC Hippos?
URA won 2-0 on April 12, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, URA have 7 wins, 6 draws and 2 defeats; JMC Hippos 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 |
|---|---|---|---|
| Apr 9, 2016 | The Saints(away) | 1-1 | Premier League |
| Apr 5, 2016 | Simba(home) | 3-2 | Premier League |
| Mar 18, 2016 | Express(home) | 1-2 | Premier League |
| Mar 15, 2016 | Lweza(away) | 1-1 | Premier League |
| Mar 11, 2016 | Maroons(home) | 3-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2016 | Lweza(home) | 1-0 | Premier League |
| Apr 5, 2016 | Maroons(away) | 1-1 | Premier League |
| Apr 2, 2016 | Bright Stars(home) | 3-1 | Premier League |
| Mar 18, 2016 | Police(away) | 3-2 | Premier League |
| Mar 15, 2016 | Express(home) | 2-0 | Premier League |
What does the head-to-head say?
In the last meeting: 1 URA win, 0 draws, 0 JMC Hippos wins.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2015 | JMC Hippos 1-2 URA | Premier League |
How many goals should we expect?
URA score 1.7 and concede 1.1 goals per match over their last 15; JMC Hippos score 1.1 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| URA | 1.7 | 1.1 | 5 | 10/15 | 8/15 |
| JMC Hippos | 1.1 | 0.6 | 7 | 4/15 | 3/15 |
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 JMC Hippos?
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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