BUL vs Masaka LC: result 2-0 and analysis
Premier LeagueRegular Season - 5Kick-off on October 8, 2013 at 01:30 PM (UTC)Kakindu Municipal Stadium, Jinja
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What was the result of BUL vs Masaka LC?
BUL won 2-0 on October 8, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BUL have 5 wins, 6 draws and 4 defeats; Masaka LC have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2013 | Bright Stars(away) | 1-1 | Premier League |
| Sep 27, 2013 | Tooro United(home) | 4-2 | Premier League |
| Sep 17, 2013 | Police(away) | 0-1 | Premier League |
| Sep 13, 2013 | SC Villa(home) | 3-1 | Premier League |
| Aug 30, 2013 | Simba(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 13, 2013 | CRO(home) | 1-0 | Premier League |
| Aug 30, 2013 | SCVU(away) | 1-3 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 BUL win, 1 draw, 0 Masaka LC wins.
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2013 | Masaka LC 0-1 BUL | Premier League |
| Dec 20, 2012 | BUL 0-0 Masaka LC | Premier League |
How many goals should we expect?
BUL score 1.1 and concede 0.9 goals per match over their last 15; Masaka LC score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BUL | 1.1 | 0.9 | 4 | 7/15 | 5/15 |
| Masaka LC | 1.2 | 1.1 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | BUL | 5 | 4 | 1 | 0 | 11 | 3 | 13 |
A question about BUL 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