Match

NJS vs Kultsu: result 3-3 and analysis

Kakkonen - Lohko AGroup A - 13Kick-off on September 26, 2020 at 01:00 PM (UTC)Klaukkala nurmi, Nurmijärvi

NJS
3-3
Kultsu

Full time

What was the result of NJS vs Kultsu?

NJS and Kultsu drew 3-3 on September 26, 2020.

Goalscorers

  • 38′A. OdehKultsu
  • 47′P. PeräkyläKultsu
  • 51′A. OdehKultsu
  • 83′T. LehtimäkiNJS
  • 87′T. LehtimäkiNJS
  • 89′S. TammivuoriNJS

Official lineup for NJS vs Kultsu

The starting elevens fielded at kick-off.

NJS

  1. 6M. Sheikh
  2. 9M. Salminen
  3. 11T. Lehtimäki
  4. 15J. Georg
  1. 19J. Tukiainen
  2. 21Kelechi Anyamele
  1. 3J. Europaeus
  2. 4Aapo Mäki
  3. 28O. Soiniemi
  4. 29Ahmed Alaeddine
  1. 1O. Knuuttila

Kultsu

  1. 7M. Lötjönen
  2. 8Y. Unoki
  3. 9A. Odeh
  4. 17A. Sainio
  1. 15S. Ikonen
  2. 16P. Peräkylä
  3. 18T. Karttunen
  4. 23J. Husu
  1. 4M. Tielinen
  2. 10R. Nurkka
  1. 33S. Pesonen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, NJS have 5 wins, 2 draws and 8 defeats; Kultsu have 2, 0 and 13.

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

NJS
DateOpponentScoreCompetition
Sep 19, 2020PKKU(home)0-2Kakkonen - Lohko A
Sep 12, 2020JäPS(away)2-3Kakkonen - Lohko A
Aug 30, 2020PK-35(home)2-1Kakkonen - Lohko A
Aug 15, 2020PKKU(away)2-1Kakkonen - Lohko A
Aug 7, 2020PK-35(away)1-2Kakkonen - Lohko A
Kultsu
DateOpponentScoreCompetition
Sep 20, 2020Reipas(away)1-7Kakkonen - Lohko A
Sep 10, 2020MiPK(away)2-3Kakkonen - Lohko A
Aug 27, 2020PEPO(home)1-5Kakkonen - Lohko A
Aug 13, 2020Reipas(home)2-0Kakkonen - Lohko A
Aug 7, 2020PEPO(away)0-1Kakkonen - Lohko A

How many goals should we expect?

NJS score 1.0 and concede 1.7 goals per match over their last 15; Kultsu score 0.9 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
NJS1.01.737/159/15
Kultsu0.92.718/159/15

Over the last 15 matches in all competitions.

A question about NJS vs Kultsu?

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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