Match

SJK Akatemia vs Gnistan: result 2-2 and analysis

YkkönenMatchday 5Kick-off on August 2, 2020 at 12:00 PM (UTC)OmaSP Stadion, Seinäjoki

SJK Akatemia
2-2
Gnistan

Full time

What was the result of SJK Akatemia vs Gnistan?

SJK Akatemia and Gnistan drew 2-2 on August 2, 2020.

Goalscorers

  • 3′Nnaemeka AnyameleGnistan
  • 4′J. SalmiGnistan
  • 54′J. KiuruSJK Akatemia
  • 78′J. StrengSJK Akatemia (pen.)

Official lineup for SJK Akatemia vs Gnistan

The starting elevens fielded at kick-off.

SJK Akatemia

  1. 11J. Streng
  2. 20Arttu Aromaa
  3. 30Joonas Lepistö
  4. 36J. Kiuru
  1. 5Joona Lautamaja
  2. 6R. Malolo
  3. 10O. Adawi
  4. 21V. Olsbo
  1. 14S. Sipola
  2. 15J. Laitinen
  1. 32Mehdi El Moutacim

Gnistan

  1. 24R. Huhtala
  1. 18S. Faal
  2. 21Joel Perovuo
  3. 28Elijah Akin
  4. 75Hidetoshi Wakui
  1. 5Pauli Kuusijärvi
  2. 14J. Europaeus
  3. 15Nnaemeka Anyamele
  4. 25Manel Subirats
  5. 32J. Salmi
  1. 12A. Hakala
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What is the recent form of both teams?

Over their last 15 matches in all competitions, SJK Akatemia have 4 wins, 1 draw and 10 defeats; Gnistan have 1, 6 and 8.

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

SJK Akatemia
DateOpponentScoreCompetition
Jul 24, 2020VPS(away)1-3Ykkönen
Jul 18, 2020Musa(home)0-2Ykkönen
Jul 11, 2020AC Oulu(away)0-1Ykkönen
Jul 4, 2020Kooteepee(home)0-3Ykkönen
Jun 27, 2020EIF(home)0-3Ykkönen
Gnistan
DateOpponentScoreCompetition
Jul 25, 2020Musa(away)1-5Ykkönen
Jul 19, 2020Kooteepee(home)0-3Ykkönen
Jul 11, 2020AC Kajaani(away)1-1Ykkönen
Jul 5, 2020FF Jaro(home)1-2Ykkönen
Jun 27, 2020AC Oulu(away)0-2Ykkönen

How many goals should we expect?

SJK Akatemia score 0.9 and concede 2.1 goals per match over their last 15; Gnistan score 1.3 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
SJK Akatemia0.92.124/159/15
Gnistan1.32.3210/1510/15

Over the last 15 matches in all competitions.

A question about SJK Akatemia vs Gnistan?

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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