The Saints vs JMC Hippos: result 2-1 and analysis
Premier LeagueRegular Season - 28Kick-off on April 30, 2016 at 02:00 PM (UTC)Mandela National Stadium, Kampala
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What was the result of The Saints vs JMC Hippos?
The Saints won 2-1 on April 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, The Saints have 6 wins, 4 draws and 5 defeats; JMC Hippos have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2016 | Express(away) | 0-1 | Premier League |
| Apr 19, 2016 | KCCA(away) | 2-1 | Premier League |
| Apr 15, 2016 | Police(home) | 1-1 | Premier League |
| Apr 12, 2016 | SCVU(away) | 4-1 | Premier League |
| Apr 9, 2016 | URA(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2016 | KCCA(home) | 0-2 | Premier League |
| Apr 12, 2016 | URA(away) | 0-2 | Premier League |
| 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 |
What does the head-to-head say?
In the last meeting: 0 The Saints wins, 1 draw, 0 JMC Hippos wins.
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2015 | JMC Hippos 0-0 The Saints | Premier League |
Last archived meeting: JMC Hippos vs The Saints on Sep 15, 2015
How many goals should we expect?
The Saints score 1.3 and concede 0.8 goals per match over their last 15; JMC Hippos score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| The Saints | 1.3 | 0.8 | 5 | 6/15 | 6/15 |
| JMC Hippos | 1.0 | 0.8 | 6 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
A question about The Saints 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