Match

Blackburn vs Walsall: result 3-1 and analysis

League OneRegular Season - 17Kick-off on January 30, 2018 at 07:45 PM (UTC)Ewood Park, Blackburn, Lancashire

Blackburn
3-1
Walsall

Full time

What was the result of Blackburn vs Walsall?

Blackburn won 3-1 on January 30, 2018.

Goalscorers

  • 5′Danny GrahamBlackburn
  • 32′Danny GrahamBlackburn
  • 37′J. EdwardsWalsall
  • 47′B. DackBlackburn

Official lineup for Blackburn vs Walsall

The starting elevens fielded at kick-off.

Blackburn

  1. 10Danny Graham
  2. 19J. Payne
  1. 6R. Smallwood
  2. 18A. Armstrong
  3. 23B. Dack
  4. 31E. Bennett
  1. 2R. Nyambe
  2. 3D. Williams
  3. 17A. Bell
  4. 25Paul Michael Downing
  1. 1David Raya

Walsall

  1. 20A. Bakayoko
  1. 2J. Edwards
  2. 4G. Dobson
  3. 7Adam Craig Chambers
  4. 10E. Öztümer
  5. 11K. Morris
  6. 15L. Kinsella
  1. 3L. Leahy
  2. 5J. Guthrie
  3. 24K. Roberts
  1. 13L. Roberts
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Blackburn have 9 wins, 5 draws and 1 defeat; Walsall have 5, 2 and 8.

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

Blackburn
DateOpponentScoreCompetition
Jan 27, 2018Northampton(home)1-1League One
Jan 20, 2018Fleetwood Town(away)2-1League One
Jan 13, 2018Shrewsbury(home)3-1League One
Jan 6, 2018Hull City(home)0-1FA Cup
Jan 1, 2018Rotherham(away)1-1League One
Walsall
DateOpponentScoreCompetition
Jan 20, 2018Charlton(away)1-3League One
Jan 13, 2018Oxford United(home)2-1League One
Jan 1, 2018Plymouth(away)0-1League One
Dec 30, 2017Rotherham(home)1-2League One
Dec 26, 2017Bristol Rovers(home)0-0League One

How many goals should we expect?

Blackburn score 2.1 and concede 1.2 goals per match over their last 15; Walsall score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Blackburn2.11.2311/158/15
Walsall1.11.339/158/15

Over the last 15 matches in all competitions.

A question about Blackburn vs Walsall?

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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Next match: Blackburn and Walsall

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