Match

Vaajakoski vs JäPS: result 1-3 and analysis

Kakkonen - Lohko BRegular Season - 2Kick-off on May 3, 2015 at 03:30 PM (UTC)Vaajakosken urheilukenttä, Vaajakoski

Vaajakoski
1-3
JäPS

Full time

What was the result of Vaajakoski vs JäPS?

JäPS won 1-3 on May 3, 2015.

Goalscorers

  • 18′H. KhayatJäPS
  • 26′J. OjalaVaajakoski
  • 74′O.KoivuJäPS
  • 84′Tuure NummiJäPS

Official lineup for Vaajakoski vs JäPS

The starting elevens fielded at kick-off.

Vaajakoski

  1. 10Babatunde Wusu
  2. 16Niko Kiiveri
  3. 20Tomi Karlstedt
  1. 8Toni Järvinen
  2. 9Kimmo Huisman
  3. 13Peetu Lintinen
  4. 26J. Ojala
  1. 2Aleksi Kaakinen
  2. 5Anssi Viren
  3. 22J. Prami
  1. 27Matti Salkojärvi

JäPS

  1. 12Tuure Nummi
  2. 15T. Mikkonen
  1. 8O.Koivu
  2. 10Lauri Saarikoski
  1. 2Abdirashid Ali Mahdi
  2. 3J. Norring
  3. 7H. Khayat
  4. 16R. Autio
  5. 24J. Paananen
  6. 26Y. Jama
  1. 30J. Laiho
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Vaajakoski have 1 win, 0 draws and 2 defeats; JäPS have 7, 3 and 5.

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

Vaajakoski
DateOpponentScoreCompetition
Apr 25, 2015TPV(away)3-0Kakkonen - Lohko B
Mar 1, 2015PEPO(away)1-3Suomen Cup
Mar 11, 2012Riverball(home)1-3Suomen Cup
JäPS
DateOpponentScoreCompetition
Mar 9, 2015TuPS(away)0-2Suomen Cup
Oct 4, 2014MP(away)0-0Kakkonen - Lohko A
Sep 28, 2014Viikkarit(home)1-0Kakkonen - Lohko A
Sep 20, 2014Myllypuro(home)1-0Kakkonen - Lohko A
Sep 13, 2014Kultsu(away)3-1Kakkonen - Lohko A

How many goals should we expect?

Vaajakoski score 1.7 and concede 2.0 goals per match over their last 3; JäPS score 1.8 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vaajakoski1.72.012/33/3
JäPS1.81.257/158/15

Over the last 3 matches in all competitions.

A question about Vaajakoski vs JäPS?

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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