Match

KaaPo vs VJS: result 2-1 and analysis

Kakkonen - Lohko BGroup B - 11Kick-off on September 18, 2021 at 12:00 PM (UTC)R.V. Group Areena Nurmi, Kaarina

KaaPo
2-1
VJS

Full time

What was the result of KaaPo vs VJS?

KaaPo won 2-1 on September 18, 2021.

Goalscorers

  • 66′J. SalminenKaaPo
  • 69′M. SalminenKaaPo
  • 90′Laith AzharVJS

Official lineup for KaaPo vs VJS

The starting elevens fielded at kick-off.

KaaPo

  1. 10J. Salminen
  2. 11F. Omar
  1. 22Niklas Blomqvist
  2. 23M. Salminen
  3. 30M. Ruokangas
  1. 5Teemu Tuominen
  2. 13N. Kuusio
  3. 14J. Jussila
  4. 15V. Ruuskanen
  5. 18Mikko Valtanen
  1. 35T. Muurinen

VJS

  1. 7V. Lankinen
  2. 14A. Ahmed-Nur
  1. 4E. Olvinen
  2. 5R. Gädda
  3. 10N. Kaijasilta
  4. 17J. Merinen
  5. 18S. Faal
  6. 99B. Sabally
  1. 2Adel Jrad
  2. 21V. Tuomala
  1. 16Tomi Maanoja
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What is the recent form of both teams?

Over their last 15 matches in all competitions, KaaPo have 6 wins, 3 draws and 6 defeats; VJS have 6, 1 and 8.

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

KaaPo
DateOpponentScoreCompetition
Sep 12, 2021GrIFK(away)4-4Kakkonen - Lohko B
Sep 7, 2021I-Kissat(away)2-1Kakkonen - Lohko B
Sep 3, 2021SalPa(home)0-2Kakkonen - Lohko B
Aug 31, 2021Honka Akatemia(home)0-1Kakkonen - Lohko B
Aug 27, 2021PIF(home)4-0Kakkonen - Lohko B
VJS
DateOpponentScoreCompetition
Sep 15, 2021Honka Akatemia(home)1-2Kakkonen - Lohko B
Sep 11, 2021I-Kissat(home)3-1Kakkonen - Lohko B
Sep 8, 2021HJS Akatemia(away)2-2Kakkonen - Lohko B
Sep 5, 2021HJS Akatemia(home)2-0Kakkonen - Lohko B
Aug 28, 2021EPS(away)3-1Kakkonen - Lohko B

How many goals should we expect?

KaaPo score 1.7 and concede 1.3 goals per match over their last 15; VJS score 1.5 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KaaPo1.71.337/158/15
VJS1.52.039/1512/15

Over the last 15 matches in all competitions.

A question about KaaPo 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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