NAPSA Stars vs Power Dynamos: result 2-1 and analysis
Super LeagueRegular Season - 14Kick-off on June 16, 2012 at 01:00 PM (UTC)Edwin Imboela Stadium, Lusaka
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What was the result of NAPSA Stars vs Power Dynamos?
NAPSA Stars won 2-1 on June 16, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, NAPSA Stars have 6 wins, 3 draws and 4 defeats; Power Dynamos have 7, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2012 | Nchanga Rangers(away) | 1-0 | Super League |
| Jun 2, 2012 | Konkola Mine Police(away) | 0-0 | Super League |
| May 26, 2012 | Green Eagles(away) | 2-1 | Super League |
| May 23, 2012 | Red Arrows(home) | 0-3 | Super League |
| May 19, 2012 | National Assembly(home) | 2-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2012 | ZESCO United(home) | 2-1 | Super League |
| Jun 2, 2012 | Green Buffaloes(home) | 1-1 | Super League |
| May 26, 2012 | Roan United(home) | 1-1 | Super League |
| May 23, 2012 | Konkola Blades(away) | 1-1 | Super League |
| May 19, 2012 | Nkana(away) | 5-1 | Super League |
How many goals should we expect?
NAPSA Stars score 1.2 and concede 1.1 goals per match over their last 13; Power Dynamos score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NAPSA Stars | 1.2 | 1.1 | 3 | 7/13 | 7/13 |
| Power Dynamos | 1.8 | 0.7 | 5 | 7/13 | 5/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
NAPSA Stars sit 15th in Super League (36 points from 34 matches) and Power Dynamos sit 1st (78 points from 34 matches).
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 |
| 15 | NAPSA Stars | 34 | 8 | 12 | 14 | 25 | 33 | 36 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy