Masaka LC vs KCCA: result 1-2 and analysis
Premier LeagueRegular Season - 4Kick-off on September 27, 2013 at 01:30 PM (UTC)
Full time
What was the result of Masaka LC vs KCCA?
KCCA won 1-2 on September 27, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Masaka LC have 7 wins, 3 draws and 5 defeats; KCCA have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 20, 2013 | Vipers(home) | 0-2 | Premier League |
| May 10, 2013 | SCVU(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2013 | Bright Stars(home) | 4-1 | Premier League |
| Sep 13, 2013 | Tooro United(home) | 1-2 | Premier League |
| Aug 30, 2013 | Police(away) | 2-0 | Premier League |
| Aug 20, 2013 | SC Villa(away) | 1-1 | Premier League |
| May 10, 2013 | URA(away) | 0-0 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Masaka LC wins, 0 draws, 2 KCCA wins.
| Date | Score | Competition |
|---|---|---|
| Feb 15, 2013 | Masaka LC 0-2 KCCA | Premier League |
| Oct 15, 2012 | KCCA 4-1 Masaka LC | Premier League |
How many goals should we expect?
Masaka LC score 1.1 and concede 1.1 goals per match over their last 15; KCCA score 1.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Masaka LC | 1.1 | 1.1 | 5 | 6/15 | 8/15 |
| KCCA | 1.8 | 0.5 | 9 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | KCCA | 6 | 3 | 1 | 2 | 4 | 4 | 10 |
A question about Masaka LC vs KCCA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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