Power Dynamos vs Lime Hotspurs: result 1-0 and analysis
Super LeagueRegular Season - 13Kick-off on June 30, 2013 at 01:00 PM (UTC)Arthur Davies Stadium, Kitwe
Full time
What was the result of Power Dynamos vs Lime Hotspurs?
Power Dynamos won 1-0 on June 30, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Power Dynamos have 6 wins, 4 draws and 5 defeats; Lime Hotspurs have 1, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2013 | Konkola Mine Police(away) | 1-2 | Super League |
| Jun 1, 2013 | Green Buffaloes(home) | 0-1 | Super League |
| May 25, 2013 | Kalulushi Modern Stars(away) | 1-0 | Super League |
| May 18, 2013 | Forest Rangers(home) | 2-0 | Super League |
| May 11, 2013 | Roan United(away) | 1-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2013 | ZESCO United(home) | 0-4 | Super League |
| Jun 1, 2013 | Konkola Blades(away) | 0-0 | Super League |
| May 26, 2013 | Nkwazi(home) | 2-3 | Super League |
| May 18, 2013 | Kabwe Warriors(away) | 1-1 | Super League |
| May 12, 2013 | Nchanga Rangers(home) | 3-1 | Super League |
How many goals should we expect?
Power Dynamos score 1.0 and concede 0.9 goals per match over their last 15; Lime Hotspurs score 0.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Power Dynamos | 1.0 | 0.9 | 5 | 7/15 | 5/15 |
| Lime Hotspurs | 0.8 | 2.0 | 1 | 5/12 | 8/12 |
Over the last 15 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 Lime Hotspurs?
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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