Simba vs Masaka LC: result 1-0 and analysis
Premier LeagueRegular Season - 7Kick-off on October 22, 2013 at 01:30 PM (UTC)Bombo Stadium, Bombo
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What was the result of Simba vs Masaka LC?
Simba won 1-0 on October 22, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Simba have 3 wins, 5 draws and 7 defeats; Masaka LC have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2013 | Bright Stars(away) | 1-1 | Premier League |
| Oct 8, 2013 | Tooro United(home) | 1-1 | Premier League |
| Oct 1, 2013 | Police(away) | 2-3 | Premier League |
| Sep 27, 2013 | SC Villa(home) | 0-1 | Premier League |
| Sep 20, 2013 | Express(home) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2013 | URA(home) | 0-0 | Premier League |
| Oct 8, 2013 | BUL(away) | 0-2 | Premier League |
| Oct 4, 2013 | Proline(away) | 2-2 | Premier League |
| Sep 27, 2013 | KCCA(home) | 1-2 | Premier League |
| Sep 20, 2013 | Kira Young(away) | 0-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Simba win, 1 draw, 0 Masaka LC wins.
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2013 | Masaka LC 0-0 Simba | Premier League |
| Dec 31, 2012 | Simba 1-0 Masaka LC | Premier League |
How many goals should we expect?
Simba score 0.7 and concede 1.2 goals per match over their last 15; Masaka LC score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Simba | 0.7 | 1.2 | 5 | 6/15 | 5/15 |
| Masaka LC | 1.1 | 1.2 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Simba 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