Match

Portsmouth vs Reading U23: result 2-2 and analysis

EFL TrophyGroup Stage - 6Kick-off on October 4, 2016 at 06:45 PM (UTC)Fratton Park, Portsmouth

Portsmouth
2-2
Reading U23

Full time

What was the result of Portsmouth vs Reading U23?

Portsmouth and Reading U23 drew 2-2 on October 4, 2016.

Goalscorers

  • 6′A. NovakovićReading U23
  • 52′Joseph MendesReading U23 (pen.)
  • 57′C. MainPortsmouth
  • 63′C. MainPortsmouth

Official lineup for Portsmouth vs Reading U23

The starting elevens fielded at kick-off.

Portsmouth

  1. 9M. Smith
  2. 14C. Main
  1. 10Milan Lalkovič
  2. 23K. Bennett
  3. 24Amine Linganzi Koumba
  4. 33B. Close
  1. 5M. Clarke
  2. 16J. Whatmough
  3. 21A. Buxton
  4. 38B. Haunstrup
  1. 13L. O'Brien

Reading U23

  1. 9Joseph Mendes
  2. 14D. Samuel
  3. 36A. Novaković
  1. 38L. Kelly
  2. 42A. Rinomhota
  3. 60T. Frost
  1. 24T. Blackett
  2. 28D. Gravenberch
  3. 30T. Watson
  4. 59T. Mcintyre
  1. 31A. Jaakkola
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Portsmouth have 5 wins, 3 draws and 7 defeats; Reading U23 have 1, 0 and 0.

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

Portsmouth
DateOpponentScoreCompetition
Oct 1, 2016Doncaster(home)1-2League Two
Sep 27, 2016Blackpool(away)1-3League Two
Sep 24, 2016Barnet(home)5-1League Two
Sep 17, 2016Accrington ST(away)0-1League Two
Sep 10, 2016Wycombe(home)4-2League Two
Reading U23
DateOpponentScoreCompetition
Aug 30, 2016Bristol Rovers(away)3-2EFL Trophy

How many goals should we expect?

Portsmouth score 1.7 and concede 1.5 goals per match over their last 15; Reading U23 score 3.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Portsmouth1.71.548/158/15
Reading U233.02.001/11/1

Over the last 15 matches in all competitions.

A question about Portsmouth vs Reading U23?

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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