Match

NJS vs VJS: result 1-0 and analysis

Kakkonen - Lohko ARegular Season - 6Kick-off on May 30, 2019 at 12:00 PM (UTC)Klaukkala nurmi, Nurmijärvi

NJS
1-0
VJS

Full time

What was the result of NJS vs VJS?

NJS won 1-0 on May 30, 2019.

Goalscorers

  • 85′K. BioNJS

Official lineup for NJS vs VJS

The starting elevens fielded at kick-off.

NJS

  1. 7Niko Aittasalmi
  2. 10Joni Murtomaa
  3. 32K. Bio
  1. 2Y. Daoussi
  2. 3J. Ärilä
  3. 19J. Tukiainen
  4. 24Lassi Vainikainen
  5. 27M. Laihanen
  1. 6A. Eerola
  2. 22M. Oinonen
  1. 1O. Knuuttila

VJS

  1. 7V. Lankinen
  1. 3Marco Tuomas Kolsi
  2. 9Liridon Islami
  3. 14Michael Alapappila
  4. 15E. Olvinen
  5. 16E. Puro
  6. 28R. Gädda
  1. 5Henri Hiltunen
  2. 26Samu Strengell
  3. 88A. Ahmed
  1. 1Jalmari Karvinen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, NJS have 4 wins, 5 draws and 6 defeats; VJS have 1, 2 and 3.

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

NJS
DateOpponentScoreCompetition
May 27, 2019Klubi-04(away)0-2Kakkonen - Lohko A
May 19, 2019PEPO(away)2-2Kakkonen - Lohko A
May 12, 2019JäPS(home)1-1Kakkonen - Lohko A
May 5, 2019MP(away)0-2Kakkonen - Lohko A
Sep 29, 2018JIPPO(home)2-4Kakkonen - Lohko A
VJS
DateOpponentScoreCompetition
May 25, 2019PEPO(home)2-3Kakkonen - Lohko A
May 18, 2019JäPS(away)1-2Kakkonen - Lohko A
May 12, 2019Reipas(home)2-2Kakkonen - Lohko A
May 4, 2019JIPPO(away)0-0Kakkonen - Lohko A
Apr 27, 2019Klubi-04(away)5-3Kakkonen - Lohko A

How many goals should we expect?

NJS score 1.0 and concede 1.5 goals per match over their last 15; VJS score 1.7 and concede 2.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
NJS1.01.547/155/15
VJS1.72.214/65/6

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
2VJS181332541842

A question about NJS vs VJS?

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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Next match: NJS and VJS

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