Match

AC Kajaani vs Ilves: result 1-2 and analysis

YkkönenRegular Season - 10Kick-off on June 19, 2013 at 03:30 PM (UTC)Kajaanin liikuntapuisto, Kajaani

AC Kajaani
1-2
Ilves

Full time

What was the result of AC Kajaani vs Ilves?

Ilves won 1-2 on June 19, 2013.

Goalscorers

  • 34′K. MultanenIlves
  • 55′K. MultanenIlves
  • 74′K. SamsoniaAC Kajaani

Official lineup for AC Kajaani vs Ilves

The starting elevens fielded at kick-off.

AC Kajaani

  1. 19Callistus Chukwu
  2. 21M. Nzekwe
  1. 7Ville Nikkanen
  2. 11K. Samsonia
  3. 27Eetu Koistinen
  4. 30Mika Hänninen
  5. 4A. Akbar
  1. 5Simon Chibueze
  2. 6Ozeias Fernando Graciano
  3. 13J. Moilanen
  1. 1D. Kollar

Ilves

  1. 10M. Jokinen
  2. 14K. Multanen
  3. 25Aapo Lappalainen
  1. 11Kaarlo Rantanen
  2. 17Ibrahim Köse
  1. 3Heikki Aho
  2. 5Antti Ojanperä
  3. 8O. Vakkala
  4. 24Jan Kulokorpi
  5. 26J. Nikkilä
  1. 12M. Kruuti
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What is the recent form of both teams?

Over their last 10 matches in all competitions, AC Kajaani have 2 wins, 2 draws and 6 defeats; Ilves have 4, 4 and 4.

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

AC Kajaani
DateOpponentScoreCompetition
Jun 9, 2013JIPPO(home)0-1Ykkönen
Jun 5, 2013OPS Oulu(away)3-3Ykkönen
Jun 2, 2013Viikingit(home)2-1Ykkönen
May 26, 2013AC Oulu(away)2-3Ykkönen
May 19, 2013Kooteepee(away)0-1Ykkönen
Ilves
DateOpponentScoreCompetition
Jun 15, 2013Kooteepee(home)0-0Ykkönen
Jun 9, 2013AC Oulu(away)2-2Ykkönen
Jun 5, 2013Haka(away)0-3Ykkönen
Jun 2, 2013JIPPO(home)5-0Ykkönen
May 27, 2013PK-35 Vantaa(away)3-1Ykkönen

How many goals should we expect?

AC Kajaani score 1.1 and concede 1.7 goals per match over their last 10; Ilves score 1.8 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AC Kajaani1.11.715/105/10
Ilves1.81.546/128/12

Over the last 10 matches in all competitions.

A question about AC Kajaani vs Ilves?

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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