Masaka LC vs BUL: result 2-1 and analysis
Premier LeagueRegular Season - 20Kick-off on April 15, 2014 at 01:30 PM (UTC)
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What was the result of Masaka LC vs BUL?
Masaka LC won 2-1 on April 15, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Masaka LC have 1 win, 7 draws and 7 defeats; BUL have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2014 | SCVU(home) | 0-1 | Premier League |
| Apr 4, 2014 | Proline(home) | 1-1 | Premier League |
| Mar 28, 2014 | KCCA(away) | 0-1 | Premier League |
| Mar 21, 2014 | Kira Young(home) | 1-1 | Premier League |
| Mar 14, 2014 | CRO(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2014 | Bright Stars(home) | 0-0 | Premier League |
| Mar 28, 2014 | Tooro United(away) | 1-0 | Premier League |
| Mar 21, 2014 | Police(home) | 0-0 | Premier League |
| Mar 14, 2014 | SC Villa(home) | 1-1 | Premier League |
| Mar 7, 2014 | Simba(home) | 1-0 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 0 Masaka LC wins, 1 draw, 2 BUL wins.
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2013 | BUL 2-0 Masaka LC | Premier League |
| 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?
Masaka LC score 0.7 and concede 1.1 goals per match over their last 15; BUL score 0.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Masaka LC | 0.7 | 1.1 | 2 | 9/15 | 3/15 |
| BUL | 0.9 | 0.5 | 7 | 6/15 | 2/15 |
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 Masaka LC vs BUL?
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