JMC Hippos vs Vipers: result 0-0 and analysis
Premier LeagueRegular Season - 27Kick-off on May 6, 2016 at 01:30 PM (UTC)Kakindu Municipal Stadium, Jinja
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What was the result of JMC Hippos vs Vipers?
JMC Hippos and Vipers drew 0-0 on May 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JMC Hippos have 5 wins, 5 draws and 5 defeats; Vipers have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | The Saints(away) | 1-2 | Premier League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2016 | Express(home) | 1-0 | Premier League |
| Apr 29, 2016 | KCCA(away) | 0-0 | Premier League |
| Apr 26, 2016 | SCVU(home) | 4-0 | Premier League |
| Apr 15, 2016 | BUL(home) | 0-1 | Premier League |
| Apr 12, 2016 | Bright Stars(away) | 1-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 JMC Hippos wins, 0 draws, 1 Vipers win.
| Date | Score | Competition |
|---|---|---|
| Aug 29, 2015 | Vipers 1-0 JMC Hippos | Premier League |
How many goals should we expect?
JMC Hippos score 1.1 and concede 0.9 goals per match over their last 15; Vipers score 1.2 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JMC Hippos | 1.1 | 0.9 | 6 | 5/15 | 4/15 |
| Vipers | 1.2 | 0.6 | 9 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Vipers | 4 | 2 | 1 | 1 | 8 | 2 | 7 |
A question about JMC Hippos vs Vipers?
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