Mufulira Wanderers vs Lusaka Dynamos: result 2-0 and analysis
Super LeagueRegular Season - 9Kick-off on May 16, 2015 at 01:00 PM (UTC)Shinde Stadium, Mufulira
Full time
What was the result of Mufulira Wanderers vs Lusaka Dynamos?
Mufulira Wanderers won 2-0 on May 16, 2015.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Mufulira Wanderers have 3 wins, 2 draws and 2 defeats; Lusaka Dynamos have 2, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2015 | Forest Rangers(home) | 2-1 | Super League |
| Apr 25, 2015 | Power Dynamos(away) | 1-1 | Super League |
| Apr 18, 2015 | Green Eagles(home) | 0-0 | Super League |
| Apr 12, 2015 | ZESCO United(away) | 1-4 | Super League |
| Apr 5, 2015 | National Assembly(home) | 2-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2015 | Nakambala Leopards(home) | 1-0 | Super League |
| May 2, 2015 | NAPSA Stars(away) | 2-1 | Super League |
| Apr 25, 2015 | Green Buffaloes(home) | 1-1 | Super League |
| Apr 18, 2015 | Nchanga Rangers(away) | 0-0 | Super League |
| Apr 11, 2015 | Zanaco(away) | 1-1 | Super League |
How many goals should we expect?
Mufulira Wanderers score 1.0 and concede 1.1 goals per match over their last 7; Lusaka Dynamos score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mufulira Wanderers | 1.0 | 1.1 | 2 | 4/7 | 3/7 |
| Lusaka Dynamos | 0.8 | 1.0 | 2 | 4/8 | 2/8 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Mufulira Wanderers | 34 | 14 | 7 | 13 | 22 | 25 | 49 |
A question about Mufulira Wanderers vs Lusaka Dynamos?
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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