Match

MP vs KäPa: result 1-1 and analysis

Kakkonen - Lohko ARegular Season - 7Kick-off on June 12, 2016 at 03:30 PM (UTC)Mikkelin Urheilupuisto, Mikkeli

MP
1-1
KäPa

Full time

What was the result of MP vs KäPa?

MP and KäPa drew 1-1 on June 12, 2016.

Goalscorers

  • 4′A. AkbarKäPa
  • 90′Sami EkmarkMP

Official lineup for MP vs KäPa

The starting elevens fielded at kick-off.

MP

  1. 9J. Liukkonen
  2. 22A. Voutilainen
  1. 6M. Hiltunen
  2. 8A. Kesonen
  3. 10Milo Jung
  4. 23J. Mäenpää
  1. 2Sami Ekmark
  2. 3Ozeias Fernando Graciano
  3. 5J. Hasanen
  4. 13J. Haikonen
  1. 1Antti Kuismala

KäPa

  1. 8Faraz Ahadi
  2. 19Neal Hetzel
  1. 11P. Koskinen
  2. 16T. Alavaikko
  3. 20T. Tainio
  4. 89A. Arinze
  5. 10A. Akbar
  1. 2Simon Chibueze
  2. 3A. Salonen
  3. 4Joona Rahikka
  1. 25Miikka Hakkinen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MP have 5 wins, 1 draw and 9 defeats; KäPa have 9, 2 and 4.

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

MP
DateOpponentScoreCompetition
Jun 2, 2016PEPO(away)2-1Kakkonen - Lohko A
May 26, 2016KuFu-98(home)3-1Kakkonen - Lohko A
May 21, 2016JäPS(away)1-1Kakkonen - Lohko A
May 15, 2016Gnistan(home)1-2Kakkonen - Lohko A
May 8, 2016MPS(away)3-1Kakkonen - Lohko A
KäPa
DateOpponentScoreCompetition
Jun 5, 2016Vaajakoski(home)2-2Kakkonen - Lohko A
May 28, 2016Kultsu(away)0-1Kakkonen - Lohko A
May 20, 2016Sudet(home)2-1Kakkonen - Lohko A
May 14, 2016Futura(away)1-1Kakkonen - Lohko A
May 9, 2016Lahti Akatemia(home)1-0Kakkonen - Lohko A

How many goals should we expect?

MP score 1.5 and concede 2.0 goals per match over their last 15; KäPa score 2.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MP1.52.0110/1511/15
KäPa2.01.067/158/15

Over the last 15 matches in all competitions.

A question about MP vs KäPa?

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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