Match

Yaxley vs Daventry Town: result 0-2 and analysis

Non League Div One - Northern MidlandsNorthern Midlands - 26Kick-off on January 28, 2023 at 03:00 PM (UTC)Leading Drove, Yaxley, Cambridgeshire

Yaxley
0-2
Daventry Town

Full time

What was the result of Yaxley vs Daventry Town?

Daventry Town won 0-2 on January 28, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Yaxley have 1 wins, 0 draws and 14 defeats; Daventry Town have 3, 3 and 9.

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

Yaxley
DateOpponentScoreCompetition
Jan 14, 2023Harborough Town(home)3-1Non League Div One - Northern Midlands
Jan 10, 2023Chasetown(home)0-1Non League Div One - Northern Midlands
Jan 7, 2023St Neots Town(away)1-4Non League Div One - Northern Midlands
Jan 2, 2023Spalding United(home)0-1Non League Div One - Northern Midlands
Dec 26, 2022Dereham Town(away)2-6Non League Div One - Northern Midlands
Daventry Town
DateOpponentScoreCompetition
Jan 7, 2023Loughborough Dynamo(away)2-2Non League Div One - Northern Midlands
Jan 2, 2023Harborough Town(home)0-2Non League Div One - Northern Midlands
Dec 26, 2022Corby Town(away)1-2Non League Div One - Northern Midlands
Dec 10, 2022Bedworth United(away)0-0Non League Div One - Northern Midlands
Dec 3, 2022Yaxley(home)3-0Non League Div One - Northern Midlands

What does the head-to-head say?

Across the last 1 meetings: 0 Yaxley win(s), 0 draw(s), 1 Daventry Town win(s).

DateScoreCompetition
Dec 3, 2022Daventry Town 3-0 YaxleyNon League Div One - Northern Midlands

Last archived meeting: Daventry Town vs Yaxley on Dec 3, 2022

How many goals should we expect?

Yaxley score 0.8 and concede 2.8 goals per match over their last 15; Daventry Town score 1.1 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Yaxley0.82.808/1512/15
Daventry Town1.12.128/159/15

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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