Lusaka Dynamos vs Nkana: result 3-0 and analysis
Super LeagueRegular Season - 10Kick-off on May 23, 2015 at 01:00 PM (UTC)Sunset Stadium, Lusaka
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What was the result of Lusaka Dynamos vs Nkana?
Lusaka Dynamos won 3-0 on May 23, 2015.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Lusaka Dynamos have 2 wins, 4 draws and 3 defeats; Nkana have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Mufulira Wanderers(away) | 0-2 | Super League |
| May 9, 2015 | Nakambala Leopards(home) | 1-0 | Super League |
| May 2, 2015 | NAPSA Stars(away) | 2-1 | Super League |
| Apr 25, 2015 | Green Buffaloes(home) | 1-1 | Super League |
| Apr 18, 2015 | Nchanga Rangers(away) | 0-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Zanaco(home) | 1-1 | Super League |
| May 9, 2015 | Forest Rangers(away) | 1-0 | Super League |
| May 3, 2015 | Power Dynamos(home) | 1-0 | Super League |
| Apr 25, 2015 | Green Eagles(away) | 0-0 | Super League |
| Apr 19, 2015 | ZESCO United(home) | 0-0 | Super League |
How many goals should we expect?
Lusaka Dynamos score 0.7 and concede 1.1 goals per match over their last 9; Nkana score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lusaka Dynamos | 0.7 | 1.1 | 2 | 4/9 | 2/9 |
| Nkana | 1.0 | 0.7 | 8 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Nkana | 34 | 9 | 12 | 13 | 23 | 30 | 39 |
A question about Lusaka Dynamos vs Nkana?
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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