Power Dynamos vs Red Arrows: result 1-0 and analysis
Super LeagueRegular Season - 15Kick-off on June 23, 2012 at 01:00 PM (UTC)Arthur Davies Stadium, Kitwe
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What was the result of Power Dynamos vs Red Arrows?
Power Dynamos won 1-0 on June 23, 2012.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Power Dynamos have 7 wins, 4 draws and 3 defeats; Red Arrows have 6, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | NAPSA Stars(away) | 1-2 | Super League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2012 | Nchanga Rangers(home) | 2-0 | Super League |
| Jun 10, 2012 | National Assembly(away) | 1-2 | Super League |
| Jun 2, 2012 | ZESCO United(home) | 0-0 | Super League |
| May 30, 2012 | Konkola Mine Police(away) | 0-0 | Super League |
| May 23, 2012 | NAPSA Stars(away) | 3-0 | Super League |
How many goals should we expect?
Power Dynamos score 1.7 and concede 0.8 goals per match over their last 14; Red Arrows score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Power Dynamos | 1.7 | 0.8 | 5 | 8/14 | 6/14 |
| Red Arrows | 1.3 | 0.5 | 8 | 5/14 | 4/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Power Dynamos sit 1st in Super League (78 points from 34 matches) and Red Arrows sit 2nd (63 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 |
| 2 | Red Arrows | 34 | 17 | 12 | 5 | 44 | 22 | 63 |
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