Match

NJS vs PPJ: result 1-2 and analysis

Kakkonen - Lohko AGroup A - 5Kick-off on June 5, 2022 at 03:30 PM (UTC)Klaukkala nurmi, Nurmijärvi

NJS
1-2
PPJ

Full time

What was the result of NJS vs PPJ?

PPJ won 1-2 on June 5, 2022.

Goalscorers

  • 2′R. RäsänenNJS
  • 18′S. SjölundPPJ
  • 33′S. SjölundPPJ

Official lineup for NJS vs PPJ

The starting elevens fielded at kick-off.

NJS

  1. 9R. Räsänen
  2. 14E. Sankkinen
  3. 17A. Lehtojuuri
  4. 20M. Kaipio
  1. 7M. Lassoued
  2. 21H. Nguyen
  1. 2B. Urgenc
  2. 3A. Liljaniemi
  3. 4A. Kilpeläinen
  4. 22M. Oinonen
  1. 12Ramilson Almeida

PPJ

  1. 13Tuomas Mustonen
  1. 14Kim Louhisto
  2. 16Risto Kahelin
  3. 23S. Sjölund
  4. 26E. Pallas
  5. 29Tommi Kari
  6. 21N. Eronen
  7. 30J. Höckert
  1. 40Antto Tapaninen
  2. 44Pyry Kärkkäinen
  1. 1J. Wainikainen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, NJS have 5 wins, 0 draws and 10 defeats; PPJ have 2, 2 and 7.

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

NJS
DateOpponentScoreCompetition
May 29, 2022KuPS Akatemia(home)2-1Kakkonen - Lohko A
May 21, 2022PKKU(away)3-2Kakkonen - Lohko A
May 14, 2022Reipas(home)0-2Kakkonen - Lohko A
May 10, 2022Kiffen(away)0-3Kakkonen - Lohko A
Apr 30, 2022Atlantis(home)2-0Kakkonen - Lohko A
PPJ
DateOpponentScoreCompetition
May 30, 2022PKKU(home)3-4Kakkonen - Lohko A
May 21, 2022Reipas(away)0-1Kakkonen - Lohko A
May 16, 2022Kiffen(home)2-2Kakkonen - Lohko A
May 7, 2022LaPa(away)5-0Kakkonen - Lohko A
Apr 30, 2022JIPPO(home)0-2Kakkonen - Lohko A

How many goals should we expect?

NJS score 0.9 and concede 2.0 goals per match over their last 15; PPJ score 1.4 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
NJS0.92.026/158/15
PPJ1.42.534/117/11

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
6PPJ18585333123

A question about NJS vs PPJ?

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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