Match

ÅIFK vs I-Kissat: result 0-1 and analysis

Kakkonen - Lohko CRegular Season - 3Kick-off on May 11, 2014 at 01:00 PM (UTC)Urheilupuiston Yläkenttä, Åbo

ÅIFK
0-1
I-Kissat

Full time

What was the result of ÅIFK vs I-Kissat?

I-Kissat won 0-1 on May 11, 2014.

Goalscorers

  • 2′J. RasvaI-Kissat

Official lineup for ÅIFK vs I-Kissat

The starting elevens fielded at kick-off.

ÅIFK

  1. 9H. Aftab
  2. 11R. Sjöroos
  3. 99D. Sadiku
  1. 7J. Kaari
  2. 8Niklas Blomqvist
  3. 22M. Niinivirta
  4. 25M. Louanto
  1. 4M. Liespuu
  2. 13Joni Mäkinen
  3. 16V. Rannikko
  1. 35Peter Huuhka

I-Kissat

  1. 3Janne Tulehmo
  1. 6Radwan Moussa
  2. 10Ossi Nieminen
  3. 18Jere Intala
  4. 44Lari Hakanen
  1. 7J. Rasva
  2. 13V. Puustinen
  3. 16T. Ruotsalainen
  4. 19Aleksi Siren
  5. 28Juha Veijonen
  1. 1T. Karjanlahti
Ask the AI a questionSign-in required.

What is the recent form of both teams?

Over their last 15 matches in all competitions, ÅIFK have 5 wins, 2 draws and 8 defeats; I-Kissat have 1, 0 and 1.

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

ÅIFK
DateOpponentScoreCompetition
May 4, 2014Hämeenlinna(away)2-2Kakkonen - Lohko C
Apr 27, 2014Kraft(home)2-0Kakkonen - Lohko C
Mar 15, 2014Ilves(home)1-4Suomen Cup
Mar 7, 2014PaiHa(away)1-0Suomen Cup
Oct 5, 2013Hämeenlinna(away)2-4Kakkonen - Lohko C
I-Kissat
DateOpponentScoreCompetition
May 4, 2014Sporting Kristina(home)1-0Kakkonen - Lohko C
Apr 27, 2014Kerho 07 (SJK II)(home)2-3Kakkonen - Lohko C

How many goals should we expect?

ÅIFK score 1.9 and concede 2.0 goals per match over their last 15; I-Kissat score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
ÅIFK1.92.048/159/15
I-Kissat1.51.511/21/2

Over the last 15 matches in all competitions.

A question about ÅIFK vs I-Kissat?

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

Other matches in the same round

Ready to know everything about football?