URA vs Proline: result 3-0 and analysis
Premier LeagueRegular Season - 15Kick-off on February 28, 2014 at 01:30 PM (UTC)Mehta Stadium, Lugazi
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What was the result of URA vs Proline?
URA won 3-0 on February 28, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, URA have 7 wins, 4 draws and 4 defeats; Proline have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2014 | SCVU(home) | 1-2 | Premier League |
| Feb 21, 2014 | Entebbe(away) | 2-1 | Premier League |
| Feb 7, 2014 | Masaka LC(home) | 2-0 | Premier League |
| Nov 29, 2013 | Proline(away) | 3-1 | Premier League |
| Nov 26, 2013 | KCCA(home) | 2-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2014 | SCVU(home) | 0-0 | Premier League |
| Feb 11, 2014 | Kira Young(home) | 0-2 | Premier League |
| Feb 7, 2014 | Vipers(away) | 0-1 | Premier League |
| Nov 29, 2013 | URA(home) | 1-3 | Premier League |
| Nov 26, 2013 | BUL(away) | 0-2 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 3 URA wins, 0 draws, 0 Proline wins.
| Date | Score | Competition |
|---|---|---|
| Nov 29, 2013 | Proline 1-3 URA | Premier League |
| Mar 15, 2013 | Proline 0-5 URA | Premier League |
| Nov 5, 2012 | URA 3-1 Proline | Premier League |
How many goals should we expect?
URA score 1.7 and concede 0.9 goals per match over their last 15; Proline score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| URA | 1.7 | 0.9 | 7 | 6/15 | 9/15 |
| Proline | 0.8 | 1.3 | 3 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | URA | 4 | 1 | 0 | 3 | 3 | 7 | 3 |
A question about URA vs Proline?
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