Match

MP vs Myllypuro: result 1-0 and analysis

Kakkonen - Lohko ARegular Season - 4Kick-off on May 17, 2014 at 01:00 PM (UTC)Mikkelin Urheilupuisto, Mikkeli

MP
1-0
Myllypuro

Full time

What was the result of MP vs Myllypuro?

MP won 1-0 on May 17, 2014.

Goalscorers

  • 41′S. PopovitsMP

Official lineup for MP vs Myllypuro

The starting elevens fielded at kick-off.

MP

  1. 14Torres
  1. 11M. Roivas
  2. 23J. Mäenpää
  3. 25V. Nykänen
  4. 41S. Popovits
  1. 10Jerry Särkkä
  2. 13J. Haikonen
  3. 18Akim Saeed Sairinen
  4. 19J. Kuronen
  5. 21M. Iivanainen
  1. 1Antti Kuismala

Myllypuro

  1. 3P. Bahmatšov
  2. 6F. Gerxhaliu
  3. 21M. Mubarik
  4. 22A. Bekaj
  1. 10Evgeni Tolppa
  2. 13Miro Olsoni
  3. 14Emil Sutela
  4. 24A. Kanber
  1. 2Joni Palomäki
  2. 20R. Ivanov
  1. 32Miika Joronen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MP have 11 wins, 3 draws and 1 defeat; Myllypuro have 0, 0 and 4.

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

MP
DateOpponentScoreCompetition
May 11, 2014Futura(home)1-1Kakkonen - Lohko A
May 4, 2014Viikkarit(away)3-2Kakkonen - Lohko A
Apr 27, 2014Lahti Akatemia(away)4-2Kakkonen - Lohko A
Oct 5, 2013PKKU(home)2-4Kakkonen - Lohko A
Sep 29, 2013Futura(away)3-2Kakkonen - Lohko A
Myllypuro
DateOpponentScoreCompetition
May 11, 2014Kultsu(away)1-2Kakkonen - Lohko A
May 4, 2014Atlantis(home)2-5Kakkonen - Lohko A
Apr 27, 2014Futura(home)0-2Kakkonen - Lohko A
Mar 1, 2014Atlantis(away)0-6Suomen Cup

How many goals should we expect?

MP score 2.8 and concede 1.3 goals per match over their last 15; Myllypuro score 0.8 and concede 3.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MP2.81.3411/1511/15
Myllypuro0.83.802/43/4

Over the last 15 matches in all competitions.

A question about MP vs Myllypuro?

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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