Match

Haka vs PK-35 Vantaa: result 1-1 and analysis

YkkönenRegular Season - 7Kick-off on May 31, 2013 at 03:30 PM (UTC)Tehtaan kenttä, Valkeakoski

Haka
1-1
PK-35 Vantaa

Full time

What was the result of Haka vs PK-35 Vantaa?

Haka and PK-35 Vantaa drew 1-1 on May 31, 2013.

Goalscorers

  • 38′Karim BenounesPK-35 Vantaa
  • 58′Jussi AaltoHaka (pen.)

Official lineup for Haka vs PK-35 Vantaa

The starting elevens fielded at kick-off.

Haka

  1. 9Jussi Aalto
  2. 21Tomi Petrescu
  1. 7Dema
  2. 8Marco Matrone
  3. 13Sakari Saarinen
  4. 25Venance Zézé
  1. 2Regillio Nooitmeer
  2. 3Sami Sanevuori
  3. 4Juuso Salonen
  4. 10J. Pirinen
  1. 1S. Pesonen

PK-35 Vantaa

  1. 84M. Niçoise
  1. 16Konsta Rasimus
  2. 18Kalle Kärki
  3. 59Karim Benounes
  1. 4Kim Raimi
  2. 6Sami Salmi
  3. 14Jukka Hirvonen
  4. 34A. Zarabi
  5. 37K. Manev
  6. 54J. Kinnunen
  1. 25Miikka Hakkinen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Haka have 8 wins, 4 draws and 3 defeats; PK-35 Vantaa have 6, 1 and 8.

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

Haka
DateOpponentScoreCompetition
May 26, 2013JIPPO(away)0-0Ykkönen
May 20, 2013KuPS(home)1-2Suomen Cup
May 13, 2013Kooteepee(away)0-1Ykkönen
May 9, 2013OPS Oulu(home)3-1Ykkönen
May 5, 2013AC Kajaani(away)2-2Ykkönen
PK-35 Vantaa
DateOpponentScoreCompetition
May 27, 2013Ilves(home)1-3Ykkönen
May 20, 2013OPS Oulu(home)2-3Ykkönen
May 12, 2013AC Kajaani(away)0-1Ykkönen
May 9, 2013JIPPO(away)1-0Ykkönen
May 4, 2013SJK(away)1-2Ykkönen

How many goals should we expect?

Haka score 1.9 and concede 0.8 goals per match over their last 15; PK-35 Vantaa score 1.8 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Haka1.90.877/159/15
PK-35 Vantaa1.81.558/1510/15

Over the last 15 matches in all competitions.

A question about Haka vs PK-35 Vantaa?

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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