Match

EIF vs Honka: result 0-1 and analysis

YkkönenRegular Season - 3Kick-off on May 19, 2017 at 03:30 PM (UTC)Ekenäs Sparbank Arena TN, Raseborg

EIF
0-1
Honka

Full time

What was the result of EIF vs Honka?

Honka won 0-1 on May 19, 2017.

Goalscorers

  • 58′Lucas KaufmannHonka

Official lineup for EIF vs Honka

The starting elevens fielded at kick-off.

EIF

  1. 8R. Heinonen
  2. 15M. Doumbia
  3. 17Zacharias Ekström
  4. 20A. Ademi
  5. 25Ville Sevon
  6. 87J. Aalto
  1. 2Etchu Tabe
  2. 3Cheick Ibrahim Comara
  3. 4Jems Geffrard
  4. 5Olli Jalli
  1. 80Jonathan Jäntti

Honka

  1. 9Jean Carlo
  2. 10Lucas Kaufmann
  1. 14Ilari Äijälä
  2. 16Konsta Rasimus
  3. 21Joel Perovuo
  4. 25Douglas Silveira
  5. 28Tommi Saarinen
  6. 31Joni Korhonen
  1. 4R. Ivanov
  2. 20Joachim Böckerman
  1. 1V. Hursti
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What is the recent form of both teams?

Over their last 15 matches in all competitions, EIF have 3 wins, 0 draws and 12 defeats; Honka have 13, 2 and 0.

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

EIF
DateOpponentScoreCompetition
May 11, 2017Haka(away)0-2Ykkönen
May 6, 2017FF Jaro(home)0-2Ykkönen
Oct 22, 2016Turku PS(away)0-3Ykkönen
Oct 15, 2016FF Jaro(home)1-2Ykkönen
Oct 1, 2016AC Oulu(away)1-4Ykkönen
Honka
DateOpponentScoreCompetition
May 13, 2017KPV Kokkola(home)1-1Ykkönen
May 8, 2017Gnistan(away)2-0Ykkönen
Apr 29, 2017Haka(away)4-0Ykkönen
Apr 1, 2017SJK(home)2-2Suomen Cup
Mar 18, 2017FF Jaro(away)1-0Suomen Cup

How many goals should we expect?

EIF score 0.8 and concede 2.1 goals per match over their last 15; Honka score 3.2 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
EIF0.82.126/158/15
Honka3.20.596/1510/15

Over the last 15 matches in all competitions.

A question about EIF vs Honka?

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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