Match

Barking vs AFC Sudbury: result 1-0 and analysis

Non League Div One - Isthmian NorthIsthmian North - 33Kick-off on March 26, 2022 at 03:00 PM (UTC)Mayesbrook Park, Dagenham, Essex

Barking
1-0
AFC Sudbury

Full time

What was the result of Barking vs AFC Sudbury?

Barking won 1-0 on March 26, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Barking have 2 wins, 3 draws and 10 defeats; AFC Sudbury have 5, 6 and 4.

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

Barking
DateOpponentScoreCompetition
Mar 22, 2022Dereham Town(away)0-2Non League Div One - Isthmian North
Mar 19, 2022Bury Town(home)2-2Non League Div One - Isthmian North
Mar 12, 2022Brentwood Town(away)0-1Non League Div One - Isthmian North
Mar 5, 2022Grays Athletic(away)2-5Non League Div One - Isthmian North
Mar 1, 2022Felixstowe & Walton Utd(away)0-3Non League Div One - Isthmian North
AFC Sudbury
DateOpponentScoreCompetition
Mar 22, 2022Canvey Island(away)1-1Non League Div One - Isthmian North
Mar 19, 2022Tilbury(away)1-3Non League Div One - Isthmian North
Mar 15, 2022Felixstowe & Walton Utd(away)2-1Non League Div One - Isthmian North
Mar 12, 2022Heybridge Swifts(home)2-0Non League Div One - Isthmian North
Mar 8, 2022Brentwood Town(home)1-0Non League Div One - Isthmian North

What does the head-to-head say?

Across the last 2 meetings: 1 Barking win, 0 draws, 1 AFC Sudbury win.

DateScoreCompetition
Dec 4, 2021AFC Sudbury 1-0 BarkingNon League Div One - Isthmian North
Sep 26, 2020AFC Sudbury 1-2 BarkingFA Trophy

Last archived meeting: AFC Sudbury vs Barking on Dec 4, 2021

How many goals should we expect?

Barking score 1.1 and concede 2.2 goals per match over their last 15; AFC Sudbury score 0.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Barking1.12.219/1510/15
AFC Sudbury0.91.377/156/15

Over the last 15 matches in all competitions.

A question about Barking vs AFC Sudbury?

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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