Match

OPS Oulu vs Honka: result 0-3 and analysis

YkkönenRegular Season - 5Kick-off on June 13, 2017 at 03:30 PM (UTC)Oulu-lehti Areena, Oulu

OPS Oulu
0-3
Honka

Full time

What was the result of OPS Oulu vs Honka?

Honka won 0-3 on June 13, 2017.

Goalscorers

  • 21′Lucas KaufmannHonka
  • 49′K. LiikonenHonka
  • 54′K. LiikonenHonka

Official lineup for OPS Oulu vs Honka

The starting elevens fielded at kick-off.

OPS Oulu

  1. 14K. Belov
  2. 25M. Nzekwe
  1. 6Felix Orishani
  2. 7Matias Juntunen
  3. 8Thiago Trindade
  4. 9Oskari Rounaja
  1. 5J. Moilanen
  2. 11B. Ouattara
  3. 15S. Barazé
  4. 22H. Adaji
  1. 1J. Pennanen

Honka

  1. 9Jean Carlo
  2. 10Lucas Kaufmann
  3. 23K. Liikonen
  1. 8Filipe Monteiro de Mello
  2. 14Ilari Äijälä
  3. 16Konsta Rasimus
  4. 21Joel Perovuo
  5. 28Tommi Saarinen
  6. 31Joni Korhonen
  1. 15Jatuli Laevuo
  1. 1V. Hursti
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What is the recent form of both teams?

Over their last 15 matches in all competitions, OPS Oulu have 9 wins, 2 draws and 4 defeats; Honka have 12, 3 and 0.

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

OPS Oulu
DateOpponentScoreCompetition
Jun 7, 2017FF Jaro(away)3-2Ykkönen
Jun 3, 2017Turku PS(home)1-2Ykkönen
May 27, 2017Haka(away)2-1Ykkönen
May 24, 2017EIF(away)0-4Ykkönen
May 17, 2017AC Oulu(home)1-0Ykkönen
Honka
DateOpponentScoreCompetition
Jun 3, 2017AC Oulu(home)4-0Ykkönen
May 29, 2017GrIFK(home)5-0Ykkönen
May 25, 2017FF Jaro(away)1-1Ykkönen
May 19, 2017EIF(away)1-0Ykkönen
May 13, 2017KPV Kokkola(home)1-1Ykkönen

How many goals should we expect?

OPS Oulu score 2.4 and concede 1.5 goals per match over their last 15; Honka score 2.5 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
OPS Oulu2.41.559/1511/15
Honka2.50.596/158/15

Over the last 15 matches in all competitions.

A question about OPS Oulu 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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