Match

AFC Rushden & Diamonds vs Nuneaton Town: result 2-1 and analysis

Non League Premier - Southern CentralSouthern Central - 12Kick-off on October 11, 2022 at 06:45 PM (UTC)Hayden Road, Rushden, Northamptonshire

AFC Rushden & Diamonds
2-1
Nuneaton Town

Full time

What was the result of AFC Rushden & Diamonds vs Nuneaton Town?

AFC Rushden & Diamonds won 2-1 on October 11, 2022.

Goalscorers

  • 47′?AFC Rushden & Diamonds
  • 51′?AFC Rushden & Diamonds
  • 58′Matthew StensonNuneaton Town

What is the recent form of both teams?

Over their last 15 matches in all competitions, AFC Rushden & Diamonds have 2 wins, 3 draws and 10 defeats; Nuneaton Town have 10, 2 and 3.

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

AFC Rushden & Diamonds
DateOpponentScoreCompetition
Oct 8, 2022Tamworth(home)0-4FA Trophy
Oct 1, 2022Hednesford Town(away)0-5Non League Premier - Southern Central
Sep 27, 2022Coalville Town(home)0-7Non League Premier - Southern Central
Sep 24, 2022Barwell(away)2-1Non League Premier - Southern Central
Sep 13, 2022Stratford Town(away)0-2Non League Premier - Southern Central
Nuneaton Town
DateOpponentScoreCompetition
Oct 8, 2022Leicester Road(home)2-0FA Trophy
Oct 4, 2022Bedford Town(home)2-1Non League Premier - Southern Central
Oct 1, 2022Alvechurch(away)0-4FA Cup
Sep 27, 2022Alvechurch(home)3-1Non League Premier - Southern Central
Sep 24, 2022Stratford Town(away)1-1Non League Premier - Southern Central

How many goals should we expect?

AFC Rushden & Diamonds score 0.7 and concede 2.5 goals per match over their last 15; Nuneaton Town score 1.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AFC Rushden & Diamonds0.72.527/1510/15
Nuneaton Town1.91.1410/1511/15

Over the last 15 matches in all competitions.

A question about AFC Rushden & Diamonds vs Nuneaton Town?

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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