Match

Forest Rangers vs Lusaka Dynamos: result 2-1 and analysis

Super LeagueRegular Season - 35Kick-off on October 6, 2018 at 01:00 PM (UTC)Dag Hammerskjold Stadium, Ndola

Forest Rangers
2-1
Lusaka Dynamos

Full time

What was the result of Forest Rangers vs Lusaka Dynamos?

Forest Rangers won 2-1 on October 6, 2018.

What is the recent form of both teams?

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

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

Forest Rangers
DateOpponentScoreCompetition
Sep 26, 2018Buildcon(away)1-0Super League
Sep 22, 2018Green Eagles(away)0-1Super League
Sep 15, 2018Nchanga Rangers(home)0-0Super League
Sep 9, 2018Nkwazi(away)0-2Super League
Sep 1, 2018Red Arrows(home)2-2Super League
Lusaka Dynamos
DateOpponentScoreCompetition
Sep 26, 2018National Assembly(away)0-2Super League
Sep 23, 2018Power Dynamos(home)2-4Super League
Sep 19, 2018Buildcon(home)1-3Super League
Sep 15, 2018Green Eagles(home)1-2Super League
Sep 9, 2018Nchanga Rangers(away)2-0Super League

What does the head-to-head say?

Across the last 6 meetings: 3 Forest Rangers win(s), 0 draw(s), 3 Lusaka Dynamos win(s).

DateScoreCompetition
Jun 9, 2018Lusaka Dynamos 1-0 Forest RangersSuper League
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

Last archived meeting: Lusaka Dynamos vs Forest Rangers on Jun 9, 2018

How many goals should we expect?

Forest Rangers score 1.1 and concede 1.3 goals per match over their last 15; Lusaka Dynamos score 1.2 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Forest Rangers1.11.346/157/15
Lusaka Dynamos1.21.448/157/15

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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