JMC Hippos vs URA: result 1-2 and analysis
Premier LeagueRegular Season - 10Kick-off on November 3, 2015 at 01:30 PM (UTC)Kakindu Municipal Stadium, Jinja
Full time
What was the result of JMC Hippos vs URA?
URA won 1-2 on November 3, 2015.
What is the recent form of both teams?
Over their last 8 matches in all competitions, JMC Hippos have 4 wins, 2 draws and 2 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 |
|---|---|---|---|
| Oct 31, 2015 | Lweza(away) | 1-0 | Premier League |
| Oct 27, 2015 | Maroons(home) | 1-0 | Premier League |
| Oct 3, 2015 | Bright Stars(away) | 0-1 | Premier League |
| Sep 29, 2015 | Simba(away) | 1-0 | Premier League |
| Sep 22, 2015 | Police(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2015 | The Saints(home) | 0-1 | Premier League |
| 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 |
How many goals should we expect?
JMC Hippos score 0.8 and concede 0.3 goals per match over their last 8; URA score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JMC Hippos | 0.8 | 0.3 | 6 | 0/8 | 1/8 |
| URA | 1.0 | 0.9 | 5 | 8/15 | 6/15 |
Over the last 8 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 JMC Hippos vs URA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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