Match

Lusaka Dynamos vs Forest Rangers: result 1-0 and analysis

Super LeagueRegular Season - 16Kick-off on June 9, 2018 at 01:00 PM (UTC)National Heroes Stadium, Lusaka

Lusaka Dynamos
1-0
Forest Rangers

Full time

What was the result of Lusaka Dynamos vs Forest Rangers?

Lusaka Dynamos won 1-0 on June 9, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lusaka Dynamos have 6 wins, 3 draws and 6 defeats; Forest Rangers have 7, 4 and 4.

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

Lusaka Dynamos
DateOpponentScoreCompetition
May 20, 2018Nkwazi(away)2-1Super League
May 13, 2018Red Arrows(home)0-1Super League
May 5, 2018Nakambala Leopards(away)0-0Super League
May 2, 2018Kitwe United(home)0-0Super League
Apr 28, 2018Kabwe YSA(away)4-0Super League
Forest Rangers
DateOpponentScoreCompetition
Jun 3, 2018Green Eagles(home)0-1Super League
May 30, 2018Nchanga Rangers(away)2-0Super League
May 27, 2018Nkwazi(home)1-1Super League
May 20, 2018Red Arrows(away)1-1Super League
May 12, 2018Nakambala Leopards(home)1-0Super League

What does the head-to-head say?

Across the last 6 meetings: 2 Lusaka Dynamos win(s), 1 draw(s), 3 Forest Rangers win(s).

DateScoreCompetition
Aug 16, 2017Lusaka Dynamos 2-0 Forest RangersSuper League
May 1, 2017Forest Rangers 1-0 Lusaka DynamosSuper League
Nov 6, 2016Forest Rangers 1-0 Lusaka DynamosSuper League
Jun 11, 2016Lusaka Dynamos 0-2 Forest RangersSuper League
Aug 2, 2015Forest Rangers 0-3 Lusaka DynamosSuper League
Apr 4, 2015Lusaka Dynamos 1-1 Forest RangersSuper League

Last archived meeting: Lusaka Dynamos vs Forest Rangers on Aug 16, 2017

How many goals should we expect?

Lusaka Dynamos score 1.4 and concede 0.9 goals per match over their last 15; Forest Rangers score 0.8 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lusaka Dynamos1.40.954/155/15
Forest Rangers0.80.774/152/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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