Match

Hadley vs Biggleswade Town: result 4-2 and analysis

Non League Div One - Southern CentralSouthern Central - 28Kick-off on February 11, 2023 at 03:00 PM (UTC)Hadley Sports Ground, London

Hadley
4-2
Biggleswade Town

Full time

What was the result of Hadley vs Biggleswade Town?

Hadley won 4-2 on February 11, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Hadley have 7 wins, 1 draws and 7 defeats; Biggleswade Town have 7, 4 and 4.

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

Hadley
DateOpponentScoreCompetition
Feb 4, 2023Cirencester Town(away)2-2Non League Div One - Southern Central
Jan 28, 2023Berkhamsted(home)1-2Non League Div One - Southern Central
Jan 7, 2023Kidlington(away)2-3Non League Div One - Southern Central
Jan 2, 2023Hertford Town(home)3-1Non League Div One - Southern Central
Dec 26, 2022Welwyn Garden City(away)4-0Non League Div One - Southern Central
Biggleswade Town
DateOpponentScoreCompetition
Feb 7, 2023Berkhamsted(home)1-2Non League Div One - Southern Central
Feb 4, 2023Aylesbury United(home)4-1Non League Div One - Southern Central
Jan 28, 2023Barton Rovers(away)1-0Non League Div One - Southern Central
Jan 7, 2023Didcot Town(home)1-2Non League Div One - Southern Central
Jan 2, 2023AFC Kempston Rovers(away)0-2Non League Div One - Southern Central

How many goals should we expect?

Hadley score 2.0 and concede 1.7 goals per match over their last 15; Biggleswade Town score 2.1 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hadley2.01.7310/1512/15
Biggleswade Town2.11.5211/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Hadley sit 10th in Non League Div One - Southern Central (63 points from 42 matches) and Biggleswade Town sit 4th (81 points from 42 matches).

2025-26 standings
#ClubPWDLGFGAPts
4Biggleswade Town4224991045881
10Hadley4218915796963

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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