Match

Lahti Akatemia vs MPS: result 1-1 and analysis

Kakkonen - Lohko ARegular Season - 3Kick-off on May 14, 2016 at 01:00 PM (UTC)Kisapuiston tekonurmi, Lahti

Lahti Akatemia
1-1
MPS

Full time

What was the result of Lahti Akatemia vs MPS?

Lahti Akatemia and MPS drew 1-1 on May 14, 2016.

Goalscorers

  • 13′O. KöseLahti Akatemia
  • 49′M. MujunenMPS (o.g.)

Official lineup for Lahti Akatemia vs MPS

The starting elevens fielded at kick-off.

Lahti Akatemia

  1. 6M. Malen
  2. 7Justus Kauppinen
  3. 9J. Tanskanen
  4. 28Driton Shala
  1. 18O. Köse
  2. 20Kasperi Heinonen
  1. 3M. Salimäki
  2. 4Paavo Voutilainen
  3. 5T. Villgren
  4. 21Paavo Ahola
  1. 12M. Mujunen

MPS

  1. 7R. Julin
  1. 8A. Ulander
  2. 11M. Vesterinen
  3. 16J. Wallenius
  4. 17J. Kivinen
  1. 2O. Koli
  2. 6T. Häihänen
  3. 18T. Kurvinen
  4. 21P. O'Shaughnessy
  5. 23T. Haapanen
  1. 1T. Korkiakoski
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Lahti Akatemia have 6 wins, 5 draws and 4 defeats; MPS have 0, 0 and 2.

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

Lahti Akatemia
DateOpponentScoreCompetition
May 9, 2016KäPa(away)0-1Kakkonen - Lohko A
May 4, 2016JäPS(home)2-2Kakkonen - Lohko A
Mar 30, 2016JäPS(home)2-4Suomen Cup
Mar 12, 2016RiPS(away)8-0Suomen Cup
Oct 3, 2015JIPPO(away)2-1Kakkonen - Lohko A
MPS
DateOpponentScoreCompetition
May 8, 2016MP(home)1-3Kakkonen - Lohko A
May 4, 2016PEPO(home)1-4Kakkonen - Lohko A

How many goals should we expect?

Lahti Akatemia score 2.5 and concede 1.3 goals per match over their last 15; MPS score 1.0 and concede 3.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Lahti Akatemia2.51.3310/159/15
MPS1.03.502/22/2

Over the last 15 matches in all competitions.

A question about Lahti Akatemia vs MPS?

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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