Kalulushi Modern Stars vs Power Dynamos: result 0-1 and analysis
Super LeagueMatchday 10Kick-off on May 25, 2013 at 11:00 AM (UTC)Eagles Ground, Choma
Full time
What was the result of Kalulushi Modern Stars vs Power Dynamos?
Power Dynamos won 0-1 on May 25, 2013.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Kalulushi Modern Stars have 3 wins, 1 draw and 5 defeats; Power Dynamos have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | ZESCO United(away) | 0-3 | Super League |
| May 11, 2013 | Konkola Blades(home) | 2-0 | Super League |
| May 4, 2013 | Nkwazi(away) | 0-1 | Super League |
| Apr 27, 2013 | Kabwe Warriors(home) | 1-1 | Super League |
| Apr 20, 2013 | Nchanga Rangers(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2013 | Forest Rangers(home) | 2-0 | Super League |
| May 11, 2013 | Roan United(away) | 1-2 | Super League |
| May 4, 2013 | Red Arrows(home) | 1-1 | Super League |
| Apr 27, 2013 | NAPSA Stars(home) | 2-1 | Super League |
| Apr 20, 2013 | ZESCO United(away) | 1-1 | Super League |
How many goals should we expect?
Kalulushi Modern Stars score 0.8 and concede 1.1 goals per match over their last 9; Power Dynamos score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalulushi Modern Stars | 0.8 | 1.1 | 2 | 2/9 | 2/9 |
| Power Dynamos | 1.1 | 0.9 | 6 | 6/15 | 5/15 |
Over the last 9 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 Kalulushi Modern Stars vs Power 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