Match

Härmä vs MaPS: result 0-2 and analysis

Kakkonen - Lohko CRegular Season - 5Kick-off on June 9, 2013 at 03:30 PM (UTC)Kaurialan kenttä, Tavastehus

Härmä
0-2
MaPS

Full time

What was the result of Härmä vs MaPS?

MaPS won 0-2 on June 9, 2013.

Goalscorers

  • 16′Petteri LaaksonenMaPS
  • 70′Petteri PeltolaMaPS

Official lineup for Härmä vs MaPS

The starting elevens fielded at kick-off.

Härmä

  1. 15E. Tamminen
  2. 23J. Lempinen
  1. 5K. Lingman
  2. 7S. Kaasalainen
  3. 17Jukka Suhonen
  4. 22Juuso Lindroos
  5. 25Jonas Ruohomäki
  1. 3Ilkka Turunen
  2. 11Santeri Lintunen
  3. 38Valtteri Lattu
  1. 1Tommi Viik

MaPS

  1. 6Rasmus Holma
  2. 8Santeri Suvala
  3. 11N. Harjula
  4. 12Petteri Peltola
  5. 17Jami Laaksonen
  6. 18J. Junnila
  7. 20Petteri Laaksonen
  8. 44V. Suvala
  1. 4Kalle Mäkinen
  2. 16Toni Järvinen
  1. 23V. Seppänen
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Härmä have 5 wins, 1 draw and 7 defeats; MaPS have 5, 3 and 4.

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

Härmä
DateOpponentScoreCompetition
Jun 5, 2013Hämeenlinna(home)0-0Kakkonen - Lohko C
Jun 1, 2013Kraft(home)0-1Kakkonen - Lohko C
May 26, 2013ÅIFK(away)3-5Kakkonen - Lohko C
May 18, 2013TPV(away)1-0Kakkonen - Lohko C
May 9, 2013Musa(away)2-0Kakkonen - Lohko C
MaPS
DateOpponentScoreCompetition
May 31, 2013Musa(home)4-0Kakkonen - Lohko C
May 26, 2013Kraft(away)2-3Kakkonen - Lohko C
May 23, 2013Hämeenlinna(away)5-3Kakkonen - Lohko C
May 19, 2013P-Iirot(away)0-1Kakkonen - Lohko C
May 14, 2013ÅIFK(home)1-1Kakkonen - Lohko C

How many goals should we expect?

Härmä score 1.2 and concede 2.2 goals per match over their last 13; MaPS score 2.0 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Härmä1.22.235/137/13
MaPS2.01.737/128/12

Over the last 13 matches in all competitions.

A question about Härmä vs MaPS?

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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