Match

Red Arrows vs Lusaka Dynamos: result 0-0 and analysis

Super LeagueRegular Season - 14Kick-off on June 4, 2016 at 01:00 PM (UTC)Nkoloma Stadium, Lusaka

Red Arrows
0-0
Lusaka Dynamos

Full time

What was the result of Red Arrows vs Lusaka Dynamos?

Red Arrows and Lusaka Dynamos drew 0-0 on June 4, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Red Arrows have 4 wins, 7 draws and 4 defeats; Lusaka Dynamos have 3, 5 and 7.

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

Red Arrows
DateOpponentScoreCompetition
Jun 1, 2016Lusaka Tigers(away)1-1Super League
May 28, 2016Zanaco(away)0-2Super League
May 14, 2016Kabwe Warriors(home)0-0Super League
May 7, 2016Mufulira Blackpool(away)1-1Super League
May 4, 2016Nakambala Leopards(home)1-0Super League
Lusaka Dynamos
DateOpponentScoreCompetition
May 21, 2016NAPSA Stars(away)1-0Super League
May 18, 2016Lumwana Radiants(home)2-0Super League
May 14, 2016Nakambala Leopards(away)1-1Super League
May 8, 2016Mufulira Wanderers(home)1-1Super League
May 1, 2016Nkana(away)0-3Super League

What does the head-to-head say?

Across the last 2 meetings: 1 Red Arrows win, 1 draw, 0 Lusaka Dynamos wins.

DateScoreCompetition
Oct 4, 2015Lusaka Dynamos 1-2 Red ArrowsSuper League
Jun 10, 2015Red Arrows 1-1 Lusaka DynamosSuper League

Last archived meeting: Lusaka Dynamos vs Red Arrows on Oct 4, 2015

How many goals should we expect?

Red Arrows score 0.8 and concede 1.0 goals per match over their last 15; Lusaka Dynamos score 0.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Red Arrows0.81.058/152/15
Lusaka Dynamos0.71.256/155/15

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 Red Arrows vs Lusaka Dynamos?

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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