Match

Blackburn vs Barnet: result 3-1 and analysis

FA Cup1st RoundKick-off on November 4, 2017 at 03:00 PM (UTC)Ewood Park, Blackburn, Lancashire

Blackburn
3-1
Barnet

Full time

What was the result of Blackburn vs Barnet?

Blackburn won 3-1 on November 4, 2017.

Goalscorers

  • 31′S. AkinolaBarnet
  • 63′J. NuttallBlackburn
  • 70′Danny GrahamBlackburn
  • 81′M. AntonssonBlackburn

Official lineup for Blackburn vs Barnet

The starting elevens fielded at kick-off.

Blackburn

  1. 10Danny Graham
  1. 4R. Harper
  2. 22B. Gladwin
  3. 23B. Dack
  4. 29C. Evans
  1. 3D. Williams
  2. 5S. Hart
  3. 14C. Mulgrew
  4. 16Paul Caddis
  5. 25Paul Michael Downing
  1. 13J. Leutwiler

Barnet

  1. 14S. Akinola
  2. 23Alex Nicholls
  3. 25J. Akpa Akpro
  1. 7R. Watson
  2. 12J. Taylor
  3. 13D. Tutonda
  4. 18W. Fonguck
  5. 20Mauro Vilhete
  1. 4C. Clough
  2. 5Ricardo
  1. 21C. Ross
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Blackburn have 7 wins, 4 draws and 4 defeats; Barnet have 2, 5 and 8.

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

Blackburn
DateOpponentScoreCompetition
Oct 31, 2017Fleetwood Town(home)2-2League One
Oct 28, 2017Wigan(away)0-0League One
Oct 21, 2017Portsmouth(home)3-0League One
Oct 17, 2017Plymouth(home)1-1League One
Oct 14, 2017Oldham(away)0-1League One
Barnet
DateOpponentScoreCompetition
Oct 28, 2017Accrington ST(away)1-4League Two
Oct 21, 2017Yeovil Town(home)1-1League Two
Oct 17, 2017Mansfield Town(home)1-1League Two
Oct 14, 2017Notts County(away)1-2League Two
Oct 7, 2017Coventry(home)0-0League Two

How many goals should we expect?

Blackburn score 1.3 and concede 0.7 goals per match over their last 15; Barnet score 1.3 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Blackburn1.30.774/154/15
Barnet1.31.7113/159/15

Over the last 15 matches in all competitions.

A question about Blackburn vs Barnet?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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