Match

AC Kajaani vs SJK Akatemia: result 1-0 and analysis

Suomen CupGroup stage · Matchday 4Kick-off on February 8, 2020 at 05:00 PM (UTC)Kajaanin liikuntapuisto, Kajaani

AC Kajaani
1-0
SJK Akatemia

Full time

What was the result of AC Kajaani vs SJK Akatemia?

AC Kajaani won 1-0 on February 8, 2020.

Goalscorers

  • 40′H. MohamedAC Kajaani (pen.)

Official lineup for AC Kajaani vs SJK Akatemia

The starting elevens fielded at kick-off.

AC Kajaani

  1. GG. Zolameso
  2. JJ. Kemppainen
  3. MM. Severino
  4. TT. Kult
  1. RR. Heidari
  2. JJ. Ärilä
  3. HH. Mohamed
  1. SSharp Räsänen
  2. JJohannes Kytilä
  3. OOmar Gaye
  1. SSeveri Ikäheimo

SJK Akatemia

  1. TTopias Uusi-Autti
  2. AArttu Aromaa
  3. HHabibullah Husseini
  1. JJoona Lautamaja
  2. EE. Hiekkanen
  3. AA. Luoma
  4. VV. Mustonen
  5. OO. Heinonen
  6. NN. Kivimäki
  7. SS. Vuorela
  1. KK. Rintamäki
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What is the recent form of both teams?

Over their last 15 matches in all competitions, AC Kajaani have 5 wins, 1 draw and 9 defeats; SJK Akatemia have 9, 4 and 2.

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

AC Kajaani
DateOpponentScoreCompetition
Feb 1, 2020AC Oulu(away)1-3Suomen Cup
Jan 25, 2020FF Jaro(away)2-1Suomen Cup
Oct 20, 2019FF Jaro(away)0-3Ykkönen
Oct 5, 2019Haka(home)1-2Ykkönen
Sep 28, 2019TPV(away)4-3Ykkönen
SJK Akatemia
DateOpponentScoreCompetition
Jan 31, 2020FF Jaro(home)2-2Suomen Cup
Jan 25, 2020VPS(away)1-0Suomen Cup
Oct 5, 2019RoPS II(away)0-1Kakkonen - Lohko C
Sep 29, 2019VPS II(home)1-0Kakkonen - Lohko C
Sep 22, 2019PK-37(away)3-2Kakkonen - Lohko C

How many goals should we expect?

AC Kajaani score 1.9 and concede 2.4 goals per match over their last 15; SJK Akatemia score 2.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AC Kajaani1.92.4211/1514/15
SJK Akatemia2.10.977/158/15

Over the last 15 matches in all competitions.

A question about AC Kajaani 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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