URA vs Masaka LC: result 2-0 and analysis
Premier LeagueRegular Season - 13Kick-off on February 7, 2014 at 01:30 PM (UTC)Mehta Stadium, Lugazi
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What was the result of URA vs Masaka LC?
URA won 2-0 on February 7, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, URA have 7 wins, 5 draws and 3 defeats; Masaka LC have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2013 | Proline(away) | 3-1 | Premier League |
| Nov 26, 2013 | KCCA(home) | 2-3 | Premier League |
| Nov 8, 2013 | Kira Young(away) | 0-1 | Premier League |
| Nov 5, 2013 | CRO(home) | 4-0 | Premier League |
| Oct 29, 2013 | SCVU(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2013 | Entebbe(home) | 1-1 | Premier League |
| Nov 19, 2013 | Express(home) | 2-0 | Premier League |
| Nov 8, 2013 | Bright Stars(away) | 1-2 | Premier League |
| Nov 5, 2013 | Tooro United(home) | 0-0 | Premier League |
| Oct 29, 2013 | Police(away) | 1-1 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 1 URA win, 1 draw, 1 Masaka LC win.
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2013 | Masaka LC 0-0 URA | Premier League |
| Mar 8, 2013 | URA 3-0 Masaka LC | Premier League |
| Oct 29, 2012 | Masaka LC 2-1 URA | Premier League |
How many goals should we expect?
URA score 1.6 and concede 0.7 goals per match over their last 15; Masaka LC score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| URA | 1.6 | 0.7 | 9 | 4/15 | 7/15 |
| Masaka LC | 0.7 | 1.3 | 4 | 7/15 | 5/15 |
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 | 5 | 1 | 1 | 3 | 3 | 7 | 4 |
A question about URA vs Masaka LC?
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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