Match

EIF vs MyPa: result 7-2 and analysis

YkkönenRegular Season - 3Kick-off on May 18, 2019 at 02:00 PM (UTC)Ekenäs Sparbank Arena TN, Raseborg

EIF
7-2
MyPa

Full time

What was the result of EIF vs MyPa?

EIF won 7-2 on May 18, 2019.

Goalscorers

  • 18′S. LindemanMyPa
  • 35′M. KouadjoEIF
  • 38′D. RantanenEIF
  • 44′Matias LahtiEIF
  • 53′D. RantanenEIF
  • 62′Zacharias EkströmEIF
  • 72′A. UlmanenEIF
  • 75′D. RantanenEIF
  • 81′N. RautomäkiMyPa

Official lineup for EIF vs MyPa

The starting elevens fielded at kick-off.

EIF

  1. 18D. Uemura
  1. 7D. Rantanen
  2. 11O. Jama
  3. 17Zacharias Ekström
  4. 19Matias Lahti
  5. 20M. Kouadjo
  6. 25Ville Sevon
  1. 2S. Benga
  2. 13W. Lindqvist
  3. 24Joel Konan Akpini
  1. 1Mehdi El Moutacim

MyPa

  1. 8R. Huhtala
  2. 10T. Räikkönen
  3. 16J. Rämä
  1. 22K. Usta
  2. 31J. Lindberg
  1. 4Johannes Kytilä
  2. 5O. Pasanen
  3. 6S. Lindeman
  4. 13O. Kähkönen
  5. 23N. Laaksonen
  1. 12Miika Korpela
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What is the recent form of both teams?

Over their last 15 matches in all competitions, EIF have 4 wins, 3 draws and 8 defeats; MyPa have 6, 4 and 5.

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

EIF
DateOpponentScoreCompetition
May 13, 2019Kooteepee(away)1-3Ykkönen
May 4, 2019Turku PS(home)1-1Ykkönen
Apr 27, 2019FF Jaro(home)1-2Ykkönen
Feb 23, 2019AC Kajaani(away)1-2Suomen Cup
Feb 16, 2019Kooteepee(home)1-0Suomen Cup
MyPa
DateOpponentScoreCompetition
May 11, 2019AC Kajaani(home)1-2Ykkönen
May 4, 2019FF Jaro(away)0-3Ykkönen
Apr 27, 2019Turku PS(home)0-1Ykkönen
Feb 23, 2019AC Oulu(away)0-0Suomen Cup
Feb 10, 2019Musa(home)1-4Suomen Cup

How many goals should we expect?

EIF score 1.1 and concede 1.9 goals per match over their last 15; MyPa score 1.8 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
EIF1.11.9310/159/15
MyPa1.81.549/159/15

Over the last 15 matches in all competitions.

A question about EIF vs MyPa?

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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