The Saints vs JMC Hippos: result 2-1 and analysis
Premier LeagueRegular Season - 24Kick-off on April 7, 2017 at 01:30 PM (UTC)Bombo Stadium, Bombo
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What was the result of The Saints vs JMC Hippos?
The Saints won 2-1 on April 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, The Saints have 2 wins, 6 draws and 7 defeats; JMC Hippos have 0, 8 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | URA(away) | 0-2 | Premier League |
| Mar 14, 2017 | SC Villa(home) | 0-2 | Premier League |
| Mar 12, 2017 | Bright Stars(away) | 1-1 | Premier League |
| Mar 7, 2017 | Police(home) | 1-1 | Premier League |
| Mar 3, 2017 | KCCA(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Onduparaka(home) | 1-1 | Premier League |
| Mar 14, 2017 | Tooro United(away) | 1-1 | Premier League |
| Mar 10, 2017 | Sadolin Paints(home) | 0-1 | Premier League |
| Mar 7, 2017 | Proline(away) | 2-4 | Premier League |
| Feb 28, 2017 | Vipers(away) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 2 The Saints wins, 1 draw, 0 JMC Hippos wins.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2016 | JMC Hippos 0-1 The Saints | Premier League |
| Apr 30, 2016 | The Saints 2-1 JMC Hippos | Premier League |
| Sep 15, 2015 | JMC Hippos 0-0 The Saints | Premier League |
Last archived meeting: JMC Hippos vs The Saints on Oct 25, 2016
How many goals should we expect?
The Saints score 0.7 and concede 1.3 goals per match over their last 15; JMC Hippos score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| The Saints | 0.7 | 1.3 | 2 | 7/15 | 2/15 |
| JMC Hippos | 0.7 | 1.5 | 2 | 9/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about The Saints vs JMC Hippos?
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