Match

Lusaka Dynamos vs Red Arrows: result 1-2 and analysis

Super LeagueRegular Season - 26Kick-off on October 4, 2015 at 12:00 PM (UTC)National Heroes Stadium, Lusaka

Lusaka Dynamos
1-2
Red Arrows

Full time

What was the result of Lusaka Dynamos vs Red Arrows?

Red Arrows won 1-2 on October 4, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lusaka Dynamos have 4 wins, 3 draws and 8 defeats; Red Arrows have 5, 8 and 2.

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

Lusaka Dynamos
DateOpponentScoreCompetition
Sep 26, 2015Nkana(away)1-4Super League
Sep 12, 2015Mufulira Wanderers(home)1-3Super League
Sep 5, 2015Nakambala Leopards(away)0-0Super League
Aug 29, 2015NAPSA Stars(home)0-1Super League
Aug 22, 2015Green Buffaloes(away)0-1Super League
Red Arrows
DateOpponentScoreCompetition
Sep 26, 2015Zanaco(home)0-0Super League
Sep 12, 2015Forest Rangers(away)0-0Super League
Sep 5, 2015Power Dynamos(home)1-1Super League
Aug 29, 2015Green Eagles(away)1-0Super League
Aug 22, 2015ZESCO United(home)0-2Super League

What does the head-to-head say?

In the last meeting: 0 Lusaka Dynamos wins, 1 draw, 0 Red Arrows wins.

DateScoreCompetition
Jun 10, 2015Red Arrows 1-1 Lusaka DynamosSuper League

Last archived meeting: Red Arrows vs Lusaka Dynamos on Jun 10, 2015

How many goals should we expect?

Lusaka Dynamos score 1.0 and concede 1.6 goals per match over their last 15; Red Arrows score 0.7 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lusaka Dynamos1.01.646/158/15
Red Arrows0.70.685/152/15

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
2Red Arrows3417125442263

A question about Lusaka Dynamos vs Red Arrows?

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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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