Match

Hämeenlinna vs P-Iirot: result 0-0 and analysis

Kakkonen - Lohko CRegular Season - 4Kick-off on May 30, 2013 at 03:30 PM (UTC)Kaurialan kenttä, Tavastehus

Hämeenlinna
0-0
P-Iirot

Full time

What was the result of Hämeenlinna vs P-Iirot?

Hämeenlinna and P-Iirot drew 0-0 on May 30, 2013.

Official lineup for Hämeenlinna vs P-Iirot

The starting elevens fielded at kick-off.

Hämeenlinna

  1. 17Harri Suhonen
  2. 45A. Latvanen
  1. 6L. Hakanen
  2. 7J. Ojala
  3. 14A. Nieminen
  4. 20B. Grabovci
  5. 23Joni Lindroos
  6. 24A. Topinoja
  1. 71Miro Purosto
  2. 85J. Saarinen
  1. 90Ville Kalervo

P-Iirot

  1. 8S. Ukwuoma
  2. 28J. Patola
  1. 10Jussi-Pekka Savolainen
  2. 17V. Salminen
  3. 18S. Popovits
  1. 2Iiro Aalto
  2. 3Eetu Setänen
  3. 4A. Horjanheimo
  4. 13N. Hautala
  5. 21N. Rinne
  1. 1Jani Tuomala
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Hämeenlinna have 5 wins, 2 draws and 8 defeats; P-Iirot have 8, 1 and 4.

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

Hämeenlinna
DateOpponentScoreCompetition
May 26, 2013FC jazz(away)0-3Kakkonen - Lohko C
May 23, 2013MaPS(home)3-5Kakkonen - Lohko C
May 19, 2013Sporting Kristina(home)2-0Kakkonen - Lohko C
May 9, 2013MaPS(away)0-0Kakkonen - Lohko C
May 4, 2013TPV(away)2-1Kakkonen - Lohko C
P-Iirot
DateOpponentScoreCompetition
May 26, 2013Sporting Kristina(home)2-1Kakkonen - Lohko C
May 19, 2013MaPS(home)1-0Kakkonen - Lohko C
May 12, 2013TPV(away)0-2Kakkonen - Lohko C
May 9, 2013FC jazz(home)0-0Kakkonen - Lohko C
May 5, 2013Kraft(away)2-1Kakkonen - Lohko C

How many goals should we expect?

Hämeenlinna score 1.1 and concede 1.8 goals per match over their last 15; P-Iirot score 2.0 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hämeenlinna1.11.865/158/15
P-Iirot2.01.156/138/13

Over the last 15 matches in all competitions.

A question about Hämeenlinna vs P-Iirot?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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