Match

Leatherhead vs Margate: result 0-0 and analysis

Non League Premier - IsthmianIsthmian - 4Kick-off on October 3, 2020 at 02:00 PM (UTC)Fetcham Grove, Leatherhead, Surrey

Leatherhead
0-0
Margate

Full time

What was the result of Leatherhead vs Margate?

Leatherhead and Margate drew 0-0 on October 3, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Leatherhead have 5 wins, 5 draws and 5 defeats; Margate have 4, 7 and 4.

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

Leatherhead
DateOpponentScoreCompetition
Sep 28, 2020Haringey Borough(away)1-0Non League Premier - Isthmian
Sep 26, 2020Bowers & Pitsea(away)0-7Non League Premier - Isthmian
Sep 22, 2020Chertsey Town(away)0-0FA Cup
Sep 19, 2020Horsham(home)1-1Non League Premier - Isthmian
Aug 31, 2020Dorking Wanderers(home)0-2Friendlies Clubs
Margate
DateOpponentScoreCompetition
Sep 29, 2020AFC Hornchurch(home)1-1Non League Premier - Isthmian
Sep 26, 2020Carshalton Athletic(home)2-2Non League Premier - Isthmian
Sep 22, 2020Hayes & Yeading United(home)1-2FA Cup
Sep 19, 2020Brightlingsea Regent(away)2-1Non League Premier - Isthmian
Sep 1, 2020Faversham Town(away)0-4Friendlies Clubs

What does the head-to-head say?

In the last meeting: 0 Leatherhead wins, 1 draw, 0 Margate wins.

DateScoreCompetition
Dec 21, 2019Margate 0-0 LeatherheadNon League Premier - Isthmian

Last archived meeting: Margate vs Leatherhead on Dec 21, 2019

How many goals should we expect?

Leatherhead score 1.3 and concede 1.4 goals per match over their last 15; Margate score 1.3 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Leatherhead1.31.457/158/15
Margate1.31.6210/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
12Leatherhead11434182015

A question about Leatherhead vs Margate?

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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