Match

VJS vs PIF: result 2-0 and analysis

Kakkonen - Lohko BGroup B - 7Kick-off on August 7, 2021 at 02:00 PM (UTC)Myyrmäen jalkapallostadion, Vantaa

VJS
2-0
PIF

Full time

What was the result of VJS vs PIF?

VJS won 2-0 on August 7, 2021.

Goalscorers

  • 32′B. SaballyVJS
  • 41′B. SaballyVJS

Official lineup for VJS vs PIF

The starting elevens fielded at kick-off.

VJS

  1. 7V. Lankinen
  2. 14A. Ahmed-Nur
  1. 4E. Olvinen
  2. 5R. Gädda
  3. 10N. Kaijasilta
  4. 17J. Merinen
  5. 20A. Ikäheimo
  6. 99B. Sabally
  1. 2Adel Jrad
  2. 6Eetu Mäensivu
  1. 12J. Kivekäs

PIF

  1. 17V. Pirhonen
  1. 6Matias Lahti
  2. 11Y. Muse
  3. 25Thomas Hradecký
  1. 2F. Grönlund
  2. 3Wille Öhman
  3. 4D. Enqvist
  4. 8K. Nevä
  5. 23J. Adolfsson
  6. 29N. Rantanen
  1. 1A. Uschanoff
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What is the recent form of both teams?

Over their last 15 matches in all competitions, VJS have 2 wins, 3 draws and 10 defeats; PIF have 8, 4 and 3.

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

VJS
DateOpponentScoreCompetition
Jul 31, 2021Ilves II(home)0-3Kakkonen - Lohko B
Jul 28, 2021Ilves II(away)2-3Kakkonen - Lohko B
Jul 10, 2021FC jazz(away)1-3Kakkonen - Lohko B
Jul 4, 2021TPV(home)2-5Kakkonen - Lohko B
Jun 30, 2021SalPa(away)2-1Kakkonen - Lohko B
PIF
DateOpponentScoreCompetition
Aug 1, 2021GrIFK(away)2-0Kakkonen - Lohko B
Jul 10, 2021Ilves II(home)6-0Kakkonen - Lohko B
Jul 4, 2021HJS Akatemia(home)2-2Kakkonen - Lohko B
Jun 30, 2021FC jazz(away)2-1Kakkonen - Lohko B
Jun 23, 2021EPS(home)2-1Kakkonen - Lohko B

How many goals should we expect?

VJS score 1.1 and concede 2.2 goals per match over their last 15; PIF score 2.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
VJS1.12.229/1510/15
PIF2.11.348/1510/15

Over the last 15 matches in all competitions.

A question about VJS vs PIF?

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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