Match

FC jazz vs Rops: result 0-3 and analysis

Suomen CupQuarter-finalsKick-off on May 20, 2013 at 03:30 PM (UTC)Porin Stadion, Pori

FC jazz
0-3
Rops

Full time

What was the result of FC jazz vs Rops?

Rops won 0-3 on May 20, 2013.

Goalscorers

  • 11′E. MbachuRops
  • 38′E. MbachuRops
  • 90′Aleksandr KokkoRops

Official lineup for FC jazz vs Rops

The starting elevens fielded at kick-off.

FC jazz

  1. AAli Hajizadeh
  1. IIkka Santahuhta
  2. JJuho Kemppinen
  3. LL. Pirhonen
  4. JJ. Luoma
  5. AA. Pihlainen
  6. TT. Junnila
  7. TT. Vihtilä
  8. SS. Mäkelä
  9. TT. Tuuri
  1. AA. Nurminen

Rops

  1. AAleksandr Kokko
  2. MMika Lahtinen
  1. AA. Okkonen
  2. VVíctor Samuel Turcios Pacheco
  3. VV. Saxman
  4. NNicholas Otaru
  1. AA. Peura
  2. AA. Granlund
  3. FF. Obilor
  4. EE. Mbachu
  1. OO. Forsman
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What is the recent form of both teams?

Over their last 13 matches in all competitions, FC jazz have 10 wins, 3 draws and 0 defeats; Rops have 5, 2 and 8.

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

FC jazz
DateOpponentScoreCompetition
May 13, 2013Musa(home)4-0Kakkonen - Lohko C
May 9, 2013P-Iirot(away)0-0Kakkonen - Lohko C
May 5, 2013Härmä(away)6-0Kakkonen - Lohko C
Apr 28, 2013MaPS(home)3-3Kakkonen - Lohko C
Apr 25, 2013JIPPO(home)1-0Suomen Cup
Rops
DateOpponentScoreCompetition
May 17, 2013KuPS(away)0-1Veikkausliiga
May 12, 2013JJK(home)4-0Veikkausliiga
May 9, 2013Honka(away)0-2Veikkausliiga
May 5, 2013VPS(away)1-3Veikkausliiga
Apr 28, 2013Turku PS(home)1-0Veikkausliiga

How many goals should we expect?

FC jazz score 3.6 and concede 0.8 goals per match over their last 13; Rops score 1.5 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC jazz3.60.894/139/13
Rops1.51.656/158/15

Over the last 13 matches in all competitions.

A question about FC jazz 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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