Match

FF Jaro vs GrIFK: result 2-2 and analysis

YkkönenRegular Season - 5Kick-off on June 12, 2016 at 10:30 AM (UTC)Jakobstads Centralplan (Pietarsaaren Keskuskenttä), Jacobstad

FF Jaro
2-2
GrIFK

Full time

What was the result of FF Jaro vs GrIFK?

FF Jaro and GrIFK drew 2-2 on June 12, 2016.

Goalscorers

  • 37′J. EmetFF Jaro (pen.)
  • 52′Papa NiangFF Jaro
  • 78′Samuel LanghoffGrIFK
  • 90′Petter MeyerGrIFK

Official lineup for FF Jaro vs GrIFK

The starting elevens fielded at kick-off.

FF Jaro

  1. 8Papa Niang
  2. 9J. Alvarado
  3. 11S. Atakayi-Mantata
  1. 3M. Kronholm
  2. 7Thomas Kula
  3. 10J. Emet
  4. 15W. Moore
  5. 20O. Sandström
  6. 22Jamar Dixon
  1. 6J. Brunell
  1. 25E. Öhberg

GrIFK

  1. 9D. Langhoff
  2. 17Petter Meyer
  3. 19Samuel Langhoff
  1. 13T. Mikkonen
  2. 15Valmir Seferi
  3. 21Lassi Luoto
  1. 4Niko Perera
  2. 5T. Takamäki
  3. 7Joni Kaasinen
  4. 8Joonas Ilomäki
  1. 1J. Ström
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What is the recent form of both teams?

Over their last 15 matches in all competitions, FF Jaro have 3 wins, 5 draws and 7 defeats; GrIFK have 7, 3 and 5.

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

FF Jaro
DateOpponentScoreCompetition
Jun 8, 2016EIF(away)0-1Ykkönen
May 28, 2016Kooteepee(away)2-1Ykkönen
May 21, 2016KPV Kokkola(home)0-1Ykkönen
May 16, 2016JJK(away)1-1Ykkönen
May 8, 2016Haka(home)0-0Ykkönen
GrIFK
DateOpponentScoreCompetition
Jun 5, 2016FC jazz(home)1-1Ykkönen
May 28, 2016Haka(home)2-1Ykkönen
May 23, 2016EIF(away)0-3Ykkönen
May 15, 2016Turku PS(home)1-0Ykkönen
May 8, 2016JJK(away)0-1Ykkönen

How many goals should we expect?

FF Jaro score 0.7 and concede 1.1 goals per match over their last 15; GrIFK score 1.3 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FF Jaro0.71.136/153/15
GrIFK1.31.4210/159/15

Over the last 15 matches in all competitions.

A question about FF Jaro vs GrIFK?

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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