Match

FC jazz vs MaPS: result 3-3 and analysis

Kakkonen - Lohko CRegular Season - 2Kick-off on April 28, 2013 at 03:30 PM (UTC)Porin Stadion, Pori

FC jazz
3-3
MaPS

Full time

What was the result of FC jazz vs MaPS?

FC jazz and MaPS drew 3-3 on April 28, 2013.

Goalscorers

  • 7′N. HarjulaMaPS
  • 13′T. VihtiläFC jazz
  • 43′T. JunnilaFC jazz
  • 47′S. MäkeläFC jazz
  • 55′J. JunnilaMaPS
  • 65′T. KaplasMaPS

Official lineup for FC jazz vs MaPS

The starting elevens fielded at kick-off.

FC jazz

  1. 4Juho Kemppinen
  2. 8Ikka Santahuhta
  3. 13J. Salo
  4. 1L. Pirhonen
  5. 5A. Pihlainen
  6. 7S. Mäkelä
  7. 9T. Junnila
  8. 10T. Vihtilä
  9. 20J. Luoma
  10. 23K. Koivunen
  1. 32A. Nurminen

MaPS

  1. 21J. Hämäläinen
  1. 6Rasmus Holma
  2. 8Santeri Suvala
  3. 11N. Harjula
  4. 17Jami Laaksonen
  5. 18J. Junnila
  6. 20Petteri Laaksonen
  1. 4Kalle Mäkinen
  2. 5Jiri Vainio
  3. 16Toni Järvinen
  1. 24Lassi Pyölli
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What is the recent form of both teams?

Over their last 9 matches in all competitions, FC jazz have 8 wins, 1 draw and 0 defeats; MaPS have 2, 0 and 2.

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

FC jazz
DateOpponentScoreCompetition
Apr 25, 2013JIPPO(home)1-0Suomen Cup
Apr 10, 2013Viikkarit(away)1-0Suomen Cup
Mar 22, 2013Härmä(away)6-0Suomen Cup
Mar 2, 2013MynPa(away)3-0Suomen Cup
Oct 6, 2012Kiisto(away)2-0Kakkonen - Lohko B
MaPS
DateOpponentScoreCompetition
Mar 17, 2013Haka(home)0-4Suomen Cup
Mar 3, 2013SalPa(home)2-1Suomen Cup
Mar 25, 2012EIF(home)2-3Suomen Cup
Feb 26, 2012TP-T(away)3-1Suomen Cup

How many goals should we expect?

FC jazz score 3.8 and concede 0.9 goals per match over their last 9; MaPS score 1.8 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC jazz3.80.963/96/9
MaPS1.82.303/44/4

Over the last 9 matches in all competitions.

A question about FC jazz vs MaPS?

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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