Match

Lusaka Dynamos vs Forest Rangers: result 2-0 and analysis

Super LeagueRegular Season - 23Kick-off on August 16, 2017 at 11:00 AM (UTC)National Heroes Stadium, Lusaka

Lusaka Dynamos
2-0
Forest Rangers

Full time

What was the result of Lusaka Dynamos vs Forest Rangers?

Lusaka Dynamos won 2-0 on August 16, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lusaka Dynamos have 8 wins, 6 draws and 1 defeats; Forest Rangers have 6, 4 and 5.

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

Lusaka Dynamos
DateOpponentScoreCompetition
Aug 13, 2017Buildcon(away)2-1Super League
Aug 10, 2017ZESCO United(away)2-1Super League
Aug 7, 2017Nkwazi(home)1-1Super League
Jul 29, 2017Power Dynamos(away)1-1Super League
Jul 26, 2017NAPSA Stars(away)1-1Super League
Forest Rangers
DateOpponentScoreCompetition
Aug 13, 2017Kabwe Warriors(home)3-1Super League
Aug 6, 2017Real Nakonde(away)0-1Super League
Jul 29, 2017Lumwana Radiants(home)1-0Super League
Jul 26, 2017Zanaco(home)0-1Super League
Jul 23, 2017City of Lusaka(away)1-0Super League

What does the head-to-head say?

Across the last 5 meetings: 1 Lusaka Dynamos win(s), 1 draw(s), 3 Forest Rangers win(s).

DateScoreCompetition
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: Forest Rangers vs Lusaka Dynamos on May 1, 2017

How many goals should we expect?

Lusaka Dynamos score 1.3 and concede 0.8 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 Dynamos1.30.8410/156/15
Forest Rangers0.80.755/152/15

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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