Match

Musa vs SJK Akatemia: result 1-3 and analysis

Suomen CupGroup Stage - 1Kick-off on March 4, 2017 at 11:30 AM (UTC)Porin Stadion, Pori

Musa
1-3
SJK Akatemia

Full time

What was the result of Musa vs SJK Akatemia?

SJK Akatemia won 1-3 on March 4, 2017.

Goalscorers

  • 3′Dominic McGiveronSJK Akatemia
  • 38′S. ViljanenSJK Akatemia
  • 63′A. KujanpääSJK Akatemia
  • 87′174443Musa (o.g.)

Official lineup for Musa vs SJK Akatemia

The starting elevens fielded at kick-off.

Musa

  1. TT. Lehto
  2. SSami Rantala
  1. VV. Salminen
  2. JJ. Junnila
  3. VVille Vihlman
  4. JJ. Rantala
  5. EE. Räisänen
  6. AA. Pihlainen
  1. JJ. Välilä
  2. MM. Sallila
  1. EEetu Lindfors

SJK Akatemia

  1. TTommi Haanpää
  2. JJoonas Lepistö
  1. SS. Viljanen
  2. AA. Kujanpää
  3. DDominic McGiveron
  4. JJ. Lindgren
  5. JJ. Tuohisaari
  6. MM. Lähde
  7. JJ. Kuivalainen
  1. NNicolas Kotamäki
  1. WWilliam Gäddnäs
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Musa have 11 wins, 1 draw and 3 defeats; SJK Akatemia have 2, 0 and 2.

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

Musa
DateOpponentScoreCompetition
Oct 1, 2016JS Hercules(away)2-0Kakkonen - Lohko C
Sep 25, 2016Virkiä(home)8-0Kakkonen - Lohko C
Sep 17, 2016AC Kajaani(home)0-0Kakkonen - Lohko C
Sep 10, 2016Santa Claus(away)5-3Kakkonen - Lohko C
Sep 3, 2016VIFK(home)2-1Kakkonen - Lohko C
SJK Akatemia
DateOpponentScoreCompetition
Oct 21, 2016Legirus Inter(home)0-1Suomen Cup
Oct 15, 2016TP-47(home)2-1Suomen Cup
Sep 10, 2016KajHa(home)3-1Suomen Cup
Feb 19, 2016JBK(home)0-2Suomen Cup

How many goals should we expect?

Musa score 2.9 and concede 0.8 goals per match over their last 15; SJK Akatemia score 1.3 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Musa2.90.877/1511/15
SJK Akatemia1.31.302/42/4

Over the last 15 matches in all competitions.

A question about Musa vs SJK Akatemia?

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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