Nakambala Leopards vs Power Dynamos: result 2-1 and analysis
Super LeagueRegular Season - 8Kick-off on May 12, 2012 at 01:00 PM (UTC)Nakambala Stadium, Mazabuka
Full time
What was the result of Nakambala Leopards vs Power Dynamos?
Nakambala Leopards won 2-1 on May 12, 2012.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Nakambala Leopards have 2 wins, 1 draw and 4 defeats; Power Dynamos have 5, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Nchanga Rangers(away) | 0-1 | Super League |
| Apr 28, 2012 | National Assembly(home) | 2-1 | Super League |
| Apr 21, 2012 | Green Eagles(away) | 1-0 | Super League |
| Apr 14, 2012 | Red Arrows(home) | 0-2 | Super League |
| Apr 9, 2012 | NAPSA Stars(away) | 0-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2012 | Zanaco(home) | 3-0 | Super League |
| May 2, 2012 | Nchanga Rangers(away) | 0-1 | Super League |
| Apr 28, 2012 | Indeni(away) | 2-0 | Super League |
| Apr 25, 2012 | National Assembly(home) | 2-0 | Super League |
| Apr 21, 2012 | Forest Rangers(home) | 1-1 | Super League |
How many goals should we expect?
Nakambala Leopards score 0.6 and concede 1.3 goals per match over their last 7; Power Dynamos score 1.7 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nakambala Leopards | 0.6 | 1.3 | 1 | 2/7 | 1/7 |
| Power Dynamos | 1.7 | 0.3 | 5 | 1/7 | 2/7 |
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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Power Dynamos | 34 | 23 | 9 | 2 | 53 | 18 | 78 |
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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