Match

Lahti Akatemia vs JäPS: result 1-0 and analysis

Kakkonen - Lohko ARegular Season - 4Kick-off on May 25, 2013 at 01:00 PM (UTC)Kisapuiston tekonurmi, Lahti

Lahti Akatemia
1-0
JäPS

Full time

What was the result of Lahti Akatemia vs JäPS?

Lahti Akatemia won 1-0 on May 25, 2013.

Goalscorers

  • 43′S. TiittanenLahti Akatemia

Official lineup for Lahti Akatemia vs JäPS

The starting elevens fielded at kick-off.

Lahti Akatemia

  1. 13S. Tiittanen
  2. 29Rico Laitinen
  1. 16M. Grefberg
  2. 15J. Ojala
  1. 3M. Salimäki
  2. 5D. Grossett
  3. 7S. Ruponen
  4. 8Antti Hukka
  5. 19Markus Hietala
  6. 32Toni Huuhka
  1. 33Joonas Meronen

JäPS

  1. 11J. Myllyniemi
  2. 13O. Said
  1. 7A. Autio
  2. 10Lauri Saarikoski
  1. 2A. Liesjärvi
  2. 4T. Vaarakallio
  3. 5L. Palovaara
  4. 21T. Uusitalo
  5. 23A. Sipponen
  6. 27K. Kurittu
  1. 30J. Laiho
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What is the recent form of both teams?

Over their last 12 matches in all competitions, Lahti Akatemia have 6 wins, 1 draw and 5 defeats; JäPS have 7, 0 and 5.

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

Lahti Akatemia
DateOpponentScoreCompetition
May 22, 2013HIFK Helsinki(away)2-2Kakkonen - Lohko A
May 14, 2013Kooteepee(home)1-3Kakkonen - Lohko A
May 8, 2013POHU(away)1-0Kakkonen - Lohko A
May 4, 2013Futura(away)2-1Kakkonen - Lohko A
Apr 29, 2013MP(home)2-1Kakkonen - Lohko A
JäPS
DateOpponentScoreCompetition
May 19, 2013Sudet(home)2-0Kakkonen - Lohko A
May 12, 2013Futura(away)1-2Kakkonen - Lohko A
May 9, 2013MP(home)3-0Kakkonen - Lohko A
May 3, 2013PKKU(away)0-2Kakkonen - Lohko A
Apr 27, 2013Kooteepee(home)2-5Kakkonen - Lohko A

How many goals should we expect?

Lahti Akatemia score 1.6 and concede 1.4 goals per match over their last 12; JäPS score 1.8 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lahti Akatemia1.61.438/129/12
JäPS1.81.728/129/12

Over the last 12 matches in all competitions.

A question about Lahti Akatemia vs JäPS?

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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