Match

Hämeenlinna vs Rops: result 0-2 and analysis

YkkönenRegular Season - 2Kick-off on May 5, 2012 at 02:00 PM (UTC)Kaurialan kenttä, Tavastehus

Hämeenlinna
0-2
Rops

Full time

What was the result of Hämeenlinna vs Rops?

Rops won 0-2 on May 5, 2012.

Goalscorers

  • 35′J. RiveraRops
  • 87′E. MbachuRops

Official lineup for Hämeenlinna vs Rops

The starting elevens fielded at kick-off.

Hämeenlinna

  1. 13Olli Lehtimaki
  2. 25Aapo Lappalainen
  1. 4L. Hakanen
  2. 11M. Koroma
  3. 16L. Hertsi
  4. 19Mikko Kalervo
  5. 20Luis Cagnoto Vanderlei
  1. 5Ozeias Fernando Graciano
  2. 6Ilari Ruuth
  3. 77Tatu Mäkelä
  1. 90Ville Kalervo

Rops

  1. 9Mika Lahtinen
  2. 11Aleksandr Kokko
  1. 4Jukka Yrjänheikki
  2. 10J. Rivera
  1. 6Ndukaku Udoka Alison
  2. 8Tuomo Könönen
  3. 13Joonas Pennanen
  4. 21E. Mbachu
  5. 23A. Peura
  6. 35F. Obilor
  1. 30Mikko Vilmunen
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Hämeenlinna have 2 wins, 0 draws and 2 defeats; Rops have 1, 0 and 1.

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

Hämeenlinna
DateOpponentScoreCompetition
Apr 28, 2012PK-35 Vantaa(away)0-9Ykkönen
Apr 10, 2012Honka(home)0-4Suomen Cup
Mar 18, 2012Muurola(away)5-0Suomen Cup
Mar 8, 2012Ilves(away)3-1Suomen Cup
Rops
DateOpponentScoreCompetition
Apr 28, 2012AC Oulu(home)1-0Ykkönen
Mar 17, 2012PS Kemi Kings(away)1-4Suomen Cup

How many goals should we expect?

Hämeenlinna score 2.0 and concede 3.5 goals per match over their last 4; Rops score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hämeenlinna2.03.511/44/4
Rops1.02.011/21/2

Over the last 4 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
2Rops261385583847

A question about Hämeenlinna vs Rops?

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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