Match

MaPS vs Musa: result 4-0 and analysis

Kakkonen - Lohko CRegular Season - 4Kick-off on May 31, 2013 at 03:30 PM (UTC)Masku Taponketo nurmi, Masku

MaPS
4-0
Musa

Full time

What was the result of MaPS vs Musa?

MaPS won 4-0 on May 31, 2013.

Goalscorers

  • 61′A. MaltsinMaPS (o.g.)
  • 71′N. HarjulaMaPS
  • 79′Santeri SuvalaMaPS
  • 87′N. HarjulaMaPS (pen.)

Official lineup for MaPS vs Musa

The starting elevens fielded at kick-off.

MaPS

  1. 21J. Hämäläinen
  1. 6Rasmus Holma
  2. 8Santeri Suvala
  3. 12Petteri Peltola
  4. 14T. Kaplas
  5. 17Jami Laaksonen
  6. 18J. Junnila
  7. 44V. Suvala
  1. 16Toni Järvinen
  2. 19H. Salo
  1. 27M. Pirilä

Musa

  1. 5Sami Rantala
  2. 10J. Ruisniemi
  1. 11Otto Ceder
  2. 13Gaetti
  3. 16Marcelo Goncalves de Oliveira
  4. 18Ville Vihlman
  5. 1L. Koskela
  6. 4A. Jylli
  1. 6J. Välilä
  2. 19T. Kuusela
  3. 22A. Maltsin
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What is the recent form of both teams?

Over their last 11 matches in all competitions, MaPS have 4 wins, 3 draws and 4 defeats; Musa have 0, 1 and 6.

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

MaPS
DateOpponentScoreCompetition
May 26, 2013Kraft(away)2-3Kakkonen - Lohko C
May 23, 2013Hämeenlinna(away)5-3Kakkonen - Lohko C
May 19, 2013P-Iirot(away)0-1Kakkonen - Lohko C
May 14, 2013ÅIFK(home)1-1Kakkonen - Lohko C
May 9, 2013Hämeenlinna(home)0-0Kakkonen - Lohko C
Musa
DateOpponentScoreCompetition
May 25, 2013TPV(home)0-3Kakkonen - Lohko C
May 19, 2013Kraft(away)1-5Kakkonen - Lohko C
May 13, 2013FC jazz(away)0-4Kakkonen - Lohko C
May 9, 2013Härmä(home)0-2Kakkonen - Lohko C
May 4, 2013ÅIFK(home)2-2Kakkonen - Lohko C

How many goals should we expect?

MaPS score 1.8 and concede 1.8 goals per match over their last 11; Musa score 0.4 and concede 3.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MaPS1.81.827/117/11
Musa0.43.102/75/7

Over the last 11 matches in all competitions.

A question about MaPS vs Musa?

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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