Match

KäPa vs KuFu-98: result 1-2 and analysis

Kakkonen - Lohko ARegular Season - 1Kick-off on May 5, 2016 at 12:00 PM (UTC)Kumpulanlaakson tekonurmi, Helsinki

KäPa
1-2
KuFu-98

Full time

What was the result of KäPa vs KuFu-98?

KuFu-98 won 1-2 on May 5, 2016.

Goalscorers

  • 24′Jani MahanenKuFu-98 (pen.)
  • 53′E. NissiläKuFu-98
  • 60′A. AkbarKäPa

Official lineup for KäPa vs KuFu-98

The starting elevens fielded at kick-off.

KäPa

  1. 7J. Riikonen
  1. 4T. Alavaikko
  2. 11P. Koskinen
  3. 15Fidel Hayes
  4. 20T. Tainio
  5. 89A. Arinze
  6. 10A. Akbar
  1. 2Simon Chibueze
  2. 3A. Salonen
  3. 5Sami Hemmer
  1. 25Miikka Hakkinen

KuFu-98

  1. 21Ali Al-Musawi
  1. 10Jani Mahanen
  2. 16E. Nissilä
  3. 17J. Nissinen
  4. 23S. Saarenkunnas
  5. 27Jere Tuovinen
  6. 87Niko Lehijoki
  1. 6Joonas Ojantie
  2. 24R. Räsänen
  3. 31J. Nissinen
  1. 1J. Partanen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, KäPa have 9 wins, 2 draws and 4 defeats; KuFu-98 have 4, 1 and 10.

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

KäPa
DateOpponentScoreCompetition
Mar 22, 2016Inter Turku(home)0-2Suomen Cup
Mar 12, 2016Kontu(away)4-1Suomen Cup
Oct 3, 2015Honka(home)1-0Kakkonen - Lohko B
Sep 27, 2015NJS(away)7-0Kakkonen - Lohko B
Sep 22, 2015Atlantis(home)1-0Kakkonen - Lohko B
KuFu-98
DateOpponentScoreCompetition
Oct 4, 2014Futura(away)0-1Kakkonen - Lohko A
Sep 28, 2014MP(home)0-3Kakkonen - Lohko A
Sep 20, 2014Atlantis(home)1-0Kakkonen - Lohko A
Sep 14, 2014Myllypuro(away)1-5Kakkonen - Lohko A
Sep 6, 2014JäPS(home)0-2Kakkonen - Lohko A

How many goals should we expect?

KäPa score 2.1 and concede 1.1 goals per match over their last 15; KuFu-98 score 1.0 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KäPa2.11.167/158/15
KuFu-981.02.127/158/15

Over the last 15 matches in all competitions.

A question about KäPa vs KuFu-98?

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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