Match

Rops vs KPV-j: result 2-1 and analysis

Suomen CupGroup Stage - 4Kick-off on February 20, 2021 at 03:30 PM (UTC)Rovaniemen Keskuskenttä, Rovaniemi

Rops
2-1
KPV-j

Full time

What was the result of Rops vs KPV-j?

Rops won 2-1 on February 20, 2021.

Goalscorers

  • 33′K. CuringaKPV-j
  • 68′Elmeri HirvonenRops
  • 90′D. Lutumba-PitahRops

Official lineup for Rops vs KPV-j

The starting elevens fielded at kick-off.

Rops

  1. VVeka Pyyny
  1. VV. Saarikoski
  2. NNino Roffelsen
  3. VV. Hänninen
  4. DD. Lutumba-Pitah
  1. EE. Kantola
  2. JJ. Niska
  3. LL. Kuittinen
  4. MM. Ylitolva
  5. SS. Ala-Iso
  1. MM. Mujunen

KPV-j

  1. AA. Mutic
  2. PP. Kytölaakso
  1. HH. Heiermann
  2. AA. Vidjeskog
  3. LLeon Augusto
  4. SS. Mäkinen
  1. KK. Curinga
  2. SStanley Amuzie
  3. JJ. Ihalainen
  4. NN. Lehtonen
  1. SS. Lazarev
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Rops have 2 wins, 0 draws and 13 defeats; KPV-j have 4, 3 and 8.

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

Rops
DateOpponentScoreCompetition
Feb 14, 2021VPS(home)0-3Suomen Cup
Feb 6, 2021FF Jaro(away)2-1Suomen Cup
Nov 4, 2020SJK(home)2-3Veikkausliiga
Oct 22, 2020HIFK Helsinki(away)0-1Veikkausliiga
Oct 19, 2020Turku PS(away)1-4Veikkausliiga
KPV-j
DateOpponentScoreCompetition
Feb 13, 2021FF Jaro(away)1-2Suomen Cup
Feb 6, 2021VPS(home)1-1Suomen Cup
Oct 31, 2020Gnistan(away)0-5Ykkönen
Oct 24, 2020Musa(home)0-1Ykkönen
Oct 15, 2020Kooteepee(away)0-0Ykkönen

How many goals should we expect?

Rops score 0.6 and concede 2.5 goals per match over their last 15; KPV-j score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rops0.62.515/1510/15
KPV-j1.51.537/157/15

Over the last 15 matches in all competitions.

A question about Rops vs KPV-j?

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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