Match

JIPPO vs FF Jaro: result 0-2 and analysis

YkkönenRegular Season - 5Kick-off on June 13, 2021 at 03:30 PM (UTC)Mehtimäki tekonurmi, Joensuu

JIPPO
0-2
FF Jaro

Full time

What was the result of JIPPO vs FF Jaro?

FF Jaro won 0-2 on June 13, 2021.

Goalscorers

  • 51′Samuel HaglundFF Jaro
  • 66′Macauley ChrisantusFF Jaro

Official lineup for JIPPO vs FF Jaro

The starting elevens fielded at kick-off.

JIPPO

  1. 10W. Inalien
  1. 6Jordi Miguel Florit Lahnalakso
  2. 8J. Hiltunen
  3. 13T. Tainio
  4. 14Joona Hiltunen
  5. 25Risto Kahelin
  1. 2S. Hölttä
  2. 4T. Pasi
  3. 7Timo Tahvanainen
  4. 21N. Tykkyläinen
  1. 22J. Sorsa

FF Jaro

  1. 7Samuel Haglund
  2. 9Macauley Chrisantus
  1. 11T. Lähdesmäki
  2. 15M. Kronholm
  3. 29M. Wargh
  4. 50Toró
  5. 10J. Aalto
  1. 2G. Sotelo
  2. 13Krists Kristers Gulbis
  3. 90P. Byskata
  1. 1T. Olsen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, JIPPO have 9 wins, 2 draws and 4 defeats; FF Jaro have 6, 3 and 6.

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

JIPPO
DateOpponentScoreCompetition
Jun 6, 2021VPS(home)1-1Ykkönen
May 29, 2021Turku PS(away)1-0Ykkönen
May 22, 2021Klubi-04(home)1-0Ykkönen
May 16, 2021EIF(away)0-3Ykkönen
May 13, 2021Rops(home)1-2Ykkönen
FF Jaro
DateOpponentScoreCompetition
Jun 6, 2021Gnistan(home)2-2Ykkönen
May 29, 2021KPV-j(away)2-0Ykkönen
May 23, 2021VPS(home)1-1Ykkönen
May 17, 2021Turku PS(away)2-1Ykkönen
May 13, 2021Klubi-04(home)4-1Ykkönen

How many goals should we expect?

JIPPO score 1.7 and concede 1.0 goals per match over their last 15; FF Jaro score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JIPPO1.71.093/157/15
FF Jaro1.51.5411/1510/15

Over the last 15 matches in all competitions.

A question about JIPPO vs FF Jaro?

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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