Match

Lusaka Dynamos vs Nkana: result 0-2 and analysis

Super LeagueRegular Season - 25Kick-off on September 10, 2016 at 11:00 AM (UTC)National Heroes Stadium, Lusaka

Lusaka Dynamos
0-2
Nkana

Full time

What was the result of Lusaka Dynamos vs Nkana?

Nkana won 0-2 on September 10, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lusaka Dynamos have 5 wins, 4 draws and 6 defeats; Nkana have 8, 3 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Lusaka Dynamos
DateOpponentScoreCompetition
Aug 27, 2016Green Buffaloes(away)3-2Super League
Aug 21, 2016Power Dynamos(away)1-4Super League
Aug 13, 2016Zanaco(home)1-6Super League
Aug 7, 2016Nchanga Rangers(away)2-2Super League
Jul 30, 2016Lusaka Tigers(home)1-0Super League
Nkana
DateOpponentScoreCompetition
Sep 3, 2016Power Dynamos(away)0-1Super League
Aug 27, 2016Zanaco(home)4-2Super League
Aug 19, 2016Nchanga Rangers(away)1-0Super League
Aug 13, 2016Lusaka Tigers(home)3-0Super League
Aug 6, 2016Kabwe Warriors(away)1-0Super League

What does the head-to-head say?

Across the last 3 meetings: 1 Lusaka Dynamos win, 0 draws, 2 Nkana wins.

DateScoreCompetition
May 1, 2016Nkana 3-0 Lusaka DynamosSuper League
Sep 26, 2015Nkana 4-1 Lusaka DynamosSuper League
May 23, 2015Lusaka Dynamos 3-0 NkanaSuper League

Last archived meeting: Nkana vs Lusaka Dynamos on May 1, 2016

How many goals should we expect?

Lusaka Dynamos score 0.9 and concede 1.5 goals per match over their last 15; Nkana score 1.2 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lusaka Dynamos0.91.556/155/15
Nkana1.20.683/154/15

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.

Final 2025-26 standings
#ClubPWDLGFGAPts
13Nkana3491213233039

A question about Lusaka Dynamos vs Nkana?

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

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