Power Dynamos vs National Assembly: result 2-0 and analysis
Super LeagueRegular Season - 2Kick-off on April 25, 2012 at 02:00 PM (UTC)Arthur Davies Stadium, Kitwe
Full time
What was the result of Power Dynamos vs National Assembly?
Power Dynamos won 2-0 on April 25, 2012.
What is the recent form of both teams?
Over their last 3 matches in all competitions, Power Dynamos have 2 wins, 1 draw and 0 defeats; National Assembly have 0, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2012 | Forest Rangers(home) | 1-1 | Super League |
| Apr 14, 2012 | Konkola Mine Police(home) | 3-0 | Super League |
| Apr 1, 2012 | Green Eagles(away) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2012 | Zanaco(home) | 1-1 | Super League |
| Apr 14, 2012 | Indeni(away) | 0-1 | Super League |
| Apr 9, 2012 | Forest Rangers(home) | 1-2 | Super League |
| Mar 24, 2012 | Nchanga Rangers(home) | 1-1 | Super League |
How many goals should we expect?
Power Dynamos score 1.7 and concede 0.3 goals per match over their last 3; National Assembly score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Power Dynamos | 1.7 | 0.3 | 2 | 1/3 | 1/3 |
| National Assembly | 0.8 | 1.3 | 0 | 3/4 | 1/4 |
Over the last 3 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 |
A question about Power Dynamos vs National Assembly?
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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