Proline vs Vipers: result 1-3 and analysis
Premier LeagueRegular Season - 6Kick-off on October 15, 2013 at 01:30 PM (UTC)Star Times Uganda Stadium, Kampala
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What was the result of Proline vs Vipers?
Vipers won 1-3 on October 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Proline have 5 wins, 5 draws and 5 defeats; Vipers 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 8, 2013 | Entebbe(home) | 1-1 | Premier League |
| Oct 4, 2013 | Masaka LC(home) | 2-2 | Premier League |
| Sep 27, 2013 | Bright Stars(home) | 2-1 | Premier League |
| Sep 20, 2013 | Tooro United(away) | 1-2 | Premier League |
| Sep 10, 2013 | Police(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2013 | KCCA(home) | 2-1 | Premier League |
| Oct 4, 2013 | Kira Young(away) | 0-1 | Premier League |
| Sep 27, 2013 | CRO(home) | 3-1 | Premier League |
| Sep 17, 2013 | SCVU(away) | 1-3 | Premier League |
| Sep 10, 2013 | Express(away) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Proline win, 0 draws, 1 Vipers win.
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2013 | Vipers 1-2 Proline | Premier League |
| Dec 17, 2012 | Proline 0-1 Vipers | Premier League |
How many goals should we expect?
Proline score 1.1 and concede 1.2 goals per match over their last 15; Vipers score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Proline | 1.1 | 1.2 | 4 | 9/15 | 6/15 |
| Vipers | 1.1 | 0.9 | 5 | 8/15 | 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 Proline vs Vipers?
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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