Match

Rops vs JJK: result 4-0 and analysis

VeikkausliigaRegular Season - 6Kick-off on May 12, 2013 at 03:30 PM (UTC)Rovaniemen Keskuskenttä, Rovaniemi

Rops
4-0
JJK

Full time

What was the result of Rops vs JJK?

Rops won 4-0 on May 12, 2013.

Goalscorers

  • 12′A. OkkonenRops
  • 45′Niklas TarvajärviRops
  • 64′Aleksandr KokkoRops
  • 84′Aleksandr KokkoRops

Official lineup for Rops vs JJK

The starting elevens fielded at kick-off.

Rops

  1. 11Aleksandr Kokko
  2. 27Niklas Tarvajärvi
  1. 4A. Okkonen
  2. 10Nicholas Otaru
  3. 16V. Saxman
  1. 2A. Granlund
  2. 6Ndukaku Udoka Alison
  3. 8Tuomo Könönen
  4. 21E. Mbachu
  5. 35F. Obilor
  1. 1Tomi Maanoja

JJK

  1. 7Mikko Innanen
  2. 26Jani Tapani Virtanen
  1. 6Jukka-Pekka Tuomanen
  2. 9M. Manninen
  3. 18Santeri Ahola
  4. 23Patrick Poutiainen
  1. 3Mikk Reintam
  2. 4J. van Gelderen
  3. 13Tuomas Latikka
  4. 17Anssi Viren
  1. 1Janne Korhonen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Rops have 6 wins, 2 draws and 7 defeats; JJK have 3, 4 and 8.

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

Rops
DateOpponentScoreCompetition
May 9, 2013Honka(away)0-2Veikkausliiga
May 5, 2013VPS(away)1-3Veikkausliiga
Apr 28, 2013Turku PS(home)1-0Veikkausliiga
Apr 25, 2013HJK Helsinki(home)1-0Suomen Cup
Apr 21, 2013Lahti(home)3-0Veikkausliiga
JJK
DateOpponentScoreCompetition
May 9, 2013VPS(home)0-1Veikkausliiga
May 5, 2013Turku PS(away)0-1Veikkausliiga
Apr 28, 2013Lahti(home)0-0Veikkausliiga
Apr 25, 2013BK-46(away)0-0Suomen Cup
Apr 21, 2013Mariehamn(away)2-2Veikkausliiga

How many goals should we expect?

Rops score 1.5 and concede 1.5 goals per match over their last 15; JJK score 1.3 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rops1.51.566/157/15
JJK1.31.647/159/15

Over the last 15 matches in all competitions.

A question about Rops vs JJK?

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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