Simba vs URA: result 0-3 and analysis
Premier LeagueRegular Season - 14Kick-off on February 15, 2013 at 01:30 PM (UTC)KMC Stadium, Dar es Salaam
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What was the result of Simba vs URA?
URA won 0-3 on February 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Simba have 6 wins, 3 draws and 6 defeats; URA have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2013 | Proline(away) | 2-3 | Premier League |
| Feb 4, 2013 | Police(away) | 0-3 | Premier League |
| Jan 18, 2013 | Express(away) | 1-1 | Premier League |
| Jan 14, 2013 | Victors(home) | 1-0 | Premier League |
| Jan 10, 2013 | SC Villa(home) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 7, 2013 | SCVU(home) | 0-1 | Premier League |
| Jan 14, 2013 | Entebbe(home) | 1-0 | Premier League |
| Jan 7, 2013 | Police(away) | 0-0 | Premier League |
| Jan 4, 2013 | Vipers(home) | 0-1 | Premier League |
| Dec 27, 2012 | Victors(away) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Simba wins, 0 draws, 1 URA win.
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2012 | URA 2-1 Simba | Premier League |
How many goals should we expect?
Simba score 0.9 and concede 1.0 goals per match over their last 15; URA score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Simba | 0.9 | 1.0 | 6 | 6/15 | 6/15 |
| URA | 1.3 | 0.9 | 4 | 6/15 | 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 | 4 | 1 | 0 | 3 | 3 | 7 | 3 |
A question about Simba vs URA?
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