Vipers vs Onduparaka: result 4-1 and analysis
Premier LeagueRegular Season - 28Kick-off on May 9, 2017 at 01:00 PM (UTC)St. Mary's Stadium, Kitende
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What was the result of Vipers vs Onduparaka?
Vipers won 4-1 on May 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipers have 6 wins, 6 draws and 3 defeats; Onduparaka 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 |
|---|---|---|---|
| May 2, 2017 | Bright Stars(away) | 0-0 | Premier League |
| Apr 29, 2017 | URA(home) | 1-0 | Premier League |
| Apr 25, 2017 | KCCA(away) | 2-1 | Premier League |
| Apr 21, 2017 | Tooro United(home) | 2-0 | Premier League |
| Apr 14, 2017 | Police(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2017 | Express(home) | 2-1 | Premier League |
| Apr 29, 2017 | Tooro United(away) | 1-2 | Premier League |
| Apr 22, 2017 | Sadolin Paints(home) | 0-0 | Premier League |
| Apr 5, 2017 | Lweza(home) | 1-0 | Premier League |
| Apr 1, 2017 | JMC Hippos(away) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Vipers wins, 0 draws, 1 Onduparaka win.
| Date | Score | Competition |
|---|---|---|
| Nov 15, 2016 | Onduparaka 1-0 Vipers | Premier League |
How many goals should we expect?
Vipers score 0.9 and concede 0.6 goals per match over their last 15; Onduparaka score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipers | 0.9 | 0.6 | 9 | 4/15 | 4/15 |
| Onduparaka | 1.0 | 1.4 | 7 | 7/15 | 6/15 |
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 Vipers vs Onduparaka?
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