Masaka LC vs Express: result 2-0 and analysis
Premier LeagueRegular Season - 11Kick-off on November 19, 2013 at 01:30 PM (UTC)
Full time
What was the result of Masaka LC vs Express?
Masaka LC won 2-0 on November 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Masaka LC have 3 wins, 4 draws and 8 defeats; Express have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2013 | Bright Stars(away) | 1-2 | Premier League |
| Nov 5, 2013 | Tooro United(home) | 0-0 | Premier League |
| Oct 29, 2013 | Police(away) | 1-1 | Premier League |
| Oct 25, 2013 | SC Villa(home) | 1-2 | Premier League |
| Oct 22, 2013 | Simba(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2013 | Proline(home) | 1-0 | Premier League |
| Nov 5, 2013 | Bright Stars(away) | 0-0 | Premier League |
| Nov 1, 2013 | KCCA(home) | 1-1 | Premier League |
| Oct 25, 2013 | Tooro United(away) | 1-2 | Premier League |
| Oct 22, 2013 | Kira Young(home) | 1-4 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Masaka LC win, 0 draws, 1 Express win.
| Date | Score | Competition |
|---|---|---|
| Mar 15, 2013 | Express 1-2 Masaka LC | Premier League |
| Nov 5, 2012 | Masaka LC 0-1 Express | Premier League |
How many goals should we expect?
Masaka LC score 0.7 and concede 1.3 goals per match over their last 15; Express score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Masaka LC | 0.7 | 1.3 | 4 | 7/15 | 6/15 |
| Express | 0.9 | 1.1 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Express | 5 | 1 | 2 | 2 | 3 | 4 | 5 |
A question about Masaka LC vs Express?
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