Match

MyPa vs ÍF II: result 1-0 and analysis

UEFA Europa League1st Qualifying RoundKick-off on July 3, 2014 at 03:30 PM (UTC)Kymenlaakson Sähkö Stadion, Myllykoski

MyPa
1-0
ÍF II

Full time

What was the result of MyPa vs ÍF II?

MyPa won 1-0 on July 3, 2014.

Goalscorers

  • 76′Denis AbdulahiMyPa

Official lineup for MyPa vs ÍF II

The starting elevens fielded at kick-off.

MyPa

  1. 9Pekka Sihvola
  2. 11P. Soiri
  1. 4Dema
  2. 6Denis Abdulahi
  3. 10Dawda Bah
  4. 16Antti Koskinen
  1. 3T. Vesala
  2. 8J. Pirinen
  3. 18Tuomas Aho
  4. 19Nongotamba Dhutsa Nosh A Lody
  1. 1V. Iiskola

ÍF II

  1. 5Fritleif í Lambanum
  2. 6Karl Abrahamsson Løkin
  3. 7Dánjal á Lakjuni
  4. 8B. Reinert-Petersen
  5. 10A. Ellingsgaard
  6. 17Høgni Zachariasen
  1. 2Áki Petersen
  2. 3P. Mikkelsen
  3. 37Jan Ólavsson Ellingsgaard
  4. 76Bartal Eliasen
  1. 1Jákup Mikkelsen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MyPa have 5 wins, 4 draws and 6 defeats; ÍF II have 4, 5 and 6.

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

MyPa
DateOpponentScoreCompetition
Jun 27, 2014VPS(away)0-4Veikkausliiga
Jun 23, 2014Rops(home)1-1Veikkausliiga
Jun 18, 2014FF Jaro(away)1-1Veikkausliiga
Jun 15, 2014Inter Turku(away)0-1Veikkausliiga
Jun 11, 2014SJK(home)1-3Veikkausliiga
ÍF II
DateOpponentScoreCompetition
Jun 27, 2014B36 Torshavn(away)0-1Meistaradeildin
Jun 21, 2014NSI Runavik(away)2-2Meistaradeildin
Jun 15, 2014EB / Streymur(away)2-1Meistaradeildin
Jun 9, 2014KI Klaksvik(away)0-4Meistaradeildin
Jun 1, 2014HB Torshavn(home)2-2Meistaradeildin

How many goals should we expect?

MyPa score 1.2 and concede 1.5 goals per match over their last 15; ÍF II score 1.5 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MyPa1.21.529/157/15
ÍF II1.52.0211/1512/15

Over the last 15 matches in all competitions.

A question about MyPa vs ÍF II?

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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