Match

FC jazz vs Honka Akatemia: result 2-0 and analysis

Kakkonen - Lohko BRegular Season - 2Kick-off on May 10, 2018 at 01:00 PM (UTC)Porin Stadion, Pori

FC jazz
2-0
Honka Akatemia

Full time

What was the result of FC jazz vs Honka Akatemia?

FC jazz won 2-0 on May 10, 2018.

Goalscorers

  • 39′Eero LehtinenFC jazz
  • 83′Toni PyyrantaFC jazz

Official lineup for FC jazz vs Honka Akatemia

The starting elevens fielded at kick-off.

FC jazz

  1. 8Eero Lehtinen
  1. 4Juho Kemppinen
  2. 10Iyam Friday
  3. 13Benjamin Tuovinen
  4. 23Tobias Laaksonen
  1. 2T. Kuusela
  2. 3J. Meura
  3. 11Eetu Kanerva
  4. 21J. Lehtonen
  5. 22J. Lemiö
  1. 1Rasmus Östling

Honka Akatemia

  1. 27M. Ahadi
  2. 38V. Kiiski
  3. 63V. Pirhonen
  4. 92A. Sejdiu
  1. 41Joakim Nivala
  2. 44S. Veijola
  3. 60Juuso Pasanen
  1. 46Klaus Huovila
  2. 55Anton Ropa
  3. 61B. Kilic
  1. 32A. Paunio
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What is the recent form of both teams?

Over their last 15 matches in all competitions, FC jazz have 7 wins, 4 draws and 4 defeats; Honka Akatemia have 2, 3 and 2.

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

FC jazz
DateOpponentScoreCompetition
May 5, 2018GrIFK(home)1-1Kakkonen - Lohko B
Sep 30, 2017Viikingit(away)2-3Kakkonen - Lohko B
Sep 24, 2017Tampere United(home)2-2Kakkonen - Lohko B
Sep 16, 2017Peimari United(away)1-1Kakkonen - Lohko B
Sep 9, 2017EsPa(home)6-2Kakkonen - Lohko B
Honka Akatemia
DateOpponentScoreCompetition
May 6, 2018SalPa(home)0-0Kakkonen - Lohko B
Mar 10, 2018Inter Turku(home)0-7Suomen Cup
Oct 7, 2017KajHa(home)5-1Suomen Cup
Sep 13, 2017LIK(away)9-0Suomen Cup
Mar 19, 2016HJK Helsinki(home)1-3Suomen Cup

How many goals should we expect?

FC jazz score 1.9 and concede 1.7 goals per match over their last 15; Honka Akatemia score 3.0 and concede 2.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC jazz1.91.7210/1510/15
Honka Akatemia3.02.424/76/7

Over the last 15 matches in all competitions.

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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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