Match

Lumwana Radiants vs Forest Rangers: result 1-0 and analysis

Super LeagueMatchday 1Kick-off on April 8, 2017 at 01:00 PM (UTC)Lumwana Football Pitch, Lumwana

Lumwana Radiants
1-0
Forest Rangers

Full time

What was the result of Lumwana Radiants vs Forest Rangers?

Lumwana Radiants won 1-0 on April 8, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Lumwana Radiants have 4 wins, 5 draws and 6 defeats; Forest Rangers have 5, 4 and 6.

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

Lumwana Radiants
DateOpponentScoreCompetition
Dec 10, 2016ZESCO United(home)0-2Super League
Dec 3, 2016NAPSA Stars(away)0-1Super League
Nov 30, 2016Zanaco(away)0-1Super League
Nov 19, 2016Power Dynamos(away)0-0Super League
Nov 2, 2016Nakambala Leopards(home)1-0Super League
Forest Rangers
DateOpponentScoreCompetition
Dec 10, 2016Nkana(home)0-1Super League
Nov 19, 2016Green Buffaloes(away)0-1Super League
Nov 6, 2016Lusaka Dynamos(home)1-0Super League
Oct 30, 2016Zanaco(away)0-3Super League
Oct 23, 2016Lusaka Tigers(away)2-1Super League

What does the head-to-head say?

Across the last 2 meetings: 2 Lumwana Radiants wins, 0 draws, 0 Forest Rangers wins.

DateScoreCompetition
Jul 30, 2016Lumwana Radiants 1-0 Forest RangersSuper League
Apr 2, 2016Forest Rangers 1-2 Lumwana RadiantsSuper League

Last archived meeting: Lumwana Radiants vs Forest Rangers on Jul 30, 2016

How many goals should we expect?

Lumwana Radiants score 0.5 and concede 0.7 goals per match over their last 15; Forest Rangers score 0.9 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lumwana Radiants0.50.782/151/15
Forest Rangers0.91.055/156/15

Over the last 15 matches in all competitions.

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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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