Lusaka Dynamos vs Green Buffaloes: result 1-1 and analysis
Super LeagueRegular Season - 6Kick-off on April 25, 2015 at 11:00 AM (UTC)National Heroes Stadium, Lusaka
Full time
What was the result of Lusaka Dynamos vs Green Buffaloes?
Lusaka Dynamos and Green Buffaloes drew 1-1 on April 25, 2015.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Lusaka Dynamos have 0 wins, 3 draws and 2 defeats; Green Buffaloes have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2015 | Nchanga Rangers(away) | 0-0 | Super League |
| Apr 11, 2015 | Zanaco(away) | 1-1 | Super League |
| Apr 4, 2015 | Forest Rangers(home) | 1-1 | Super League |
| Mar 21, 2015 | Power Dynamos(away) | 0-3 | Super League |
| Mar 14, 2015 | Green Eagles(home) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2015 | ZESCO United(home) | 0-0 | Super League |
| Apr 18, 2015 | Zanaco(home) | 0-3 | Super League |
| Apr 11, 2015 | Forest Rangers(away) | 3-0 | Super League |
| Mar 21, 2015 | Green Eagles(away) | 0-1 | Super League |
| Nov 22, 2014 | Indeni(home) | 3-0 | Super League |
How many goals should we expect?
Lusaka Dynamos score 0.4 and concede 1.2 goals per match over their last 5; Green Buffaloes score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lusaka Dynamos | 0.4 | 1.2 | 1 | 2/5 | 1/5 |
| Green Buffaloes | 1.3 | 0.9 | 6 | 7/15 | 7/15 |
Over the last 5 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | Green Buffaloes | 34 | 9 | 14 | 11 | 27 | 34 | 41 |
A question about Lusaka Dynamos vs Green Buffaloes?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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