Match

Rops vs AC Oulu: result 1-0 and analysis

YkkönenRegular Season - 1Kick-off on April 28, 2012 at 02:00 PM (UTC)Rovaniemen Keskuskenttä, Rovaniemi

Rops
1-0
AC Oulu

Full time

What was the result of Rops vs AC Oulu?

Rops won 1-0 on April 28, 2012.

Goalscorers

  • 50′E. MbachuRops

Official lineup for Rops vs AC Oulu

The starting elevens fielded at kick-off.

Rops

  1. 9Mika Lahtinen
  2. 11Aleksandr Kokko
  1. 10J. Rivera
  1. 6Ndukaku Udoka Alison
  2. 8Tuomo Könönen
  3. 13Joonas Pennanen
  4. 21E. Mbachu
  5. 22Mika-Matti Maisonvaara
  6. 23A. Peura
  7. 35F. Obilor
  1. 30Mikko Vilmunen

AC Oulu

  1. 6T. Siira
  2. 13J. Sohlo
  1. 8Jani Kauppila
  2. 10M. Ojala
  3. 15J. Mäkelä
  1. 2Janne Hietanen
  2. 3L. Nurmos
  3. 4Juho Meriläinen
  4. 7Mika Nurmela
  5. 16Juha Majava
  1. 1Hugo Filipe Nascimento Magalhães
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What is the recent form of both teams?

In their last match in all competitions, Rops have 0 wins, 0 draws and 1 defeat; AC Oulu have 2, 0 and 1.

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

Rops
DateOpponentScoreCompetition
Mar 17, 2012PS Kemi Kings(away)1-4Suomen Cup
AC Oulu
DateOpponentScoreCompetition
Apr 12, 2012KuPS(home)0-2Suomen Cup
Mar 24, 2012TPV(away)2-0Suomen Cup
Mar 14, 2012OPS Oulu(away)2-0Suomen Cup

How many goals should we expect?

Rops score 1.0 and concede 4.0 goals per match in their last match; AC Oulu score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rops1.04.001/11/1
AC Oulu1.30.720/30/3

Over the last match in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
2Rops261385583847

A question about Rops vs AC Oulu?

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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