Match

MaPS vs I-Kissat: result 2-1 and analysis

Kakkonen - Lohko CRegular Season - 6Kick-off on May 28, 2014 at 03:30 PM (UTC)Masku Taponketo nurmi, Masku

MaPS
2-1
I-Kissat

Full time

What was the result of MaPS vs I-Kissat?

MaPS won 2-1 on May 28, 2014.

Goalscorers

  • 18′T. KaplasMaPS
  • 68′V. PuustinenI-Kissat
  • 77′J. MalkaMaPS

Official lineup for MaPS vs I-Kissat

The starting elevens fielded at kick-off.

MaPS

  1. 6Rasmus Holma
  2. 7T. Kuisma
  3. 14T. Kaplas
  4. 18J. Junnila
  5. 22J. Manzo
  1. 2Petteri Pitkänen
  2. 3J. Malka
  3. 4Kalle Mäkinen
  4. 13I. Sällylä
  5. 19H. Salo
  1. 23V. Seppänen

I-Kissat

  1. 3Janne Tulehmo
  2. 17Eetu Virtanen
  1. 9Timor Inapshba
  2. 18Jere Intala
  3. 20V. Eskonniemi
  1. 7J. Rasva
  2. 13V. Puustinen
  3. 16T. Ruotsalainen
  4. 19Aleksi Siren
  5. 28Juha Veijonen
  1. 1T. Karjanlahti
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MaPS have 4 wins, 5 draws and 6 defeats; I-Kissat have 2, 1 and 2.

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

MaPS
DateOpponentScoreCompetition
May 23, 2014P-Iirot(away)0-3Kakkonen - Lohko C
May 17, 2014Sporting Kristina(home)4-0Kakkonen - Lohko C
May 10, 2014TPV(away)2-2Kakkonen - Lohko C
May 3, 2014Kerho 07 (SJK II)(home)0-0Kakkonen - Lohko C
Apr 26, 2014VIFK(away)0-2Kakkonen - Lohko C
I-Kissat
DateOpponentScoreCompetition
May 23, 2014Hämeenlinna(away)0-1Kakkonen - Lohko C
May 16, 2014TPV(home)1-1Kakkonen - Lohko C
May 11, 2014ÅIFK(away)1-0Kakkonen - Lohko C
May 4, 2014Sporting Kristina(home)1-0Kakkonen - Lohko C
Apr 27, 2014Kerho 07 (SJK II)(home)2-3Kakkonen - Lohko C

How many goals should we expect?

MaPS score 1.8 and concede 1.9 goals per match over their last 15; I-Kissat score 1.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MaPS1.81.948/159/15
I-Kissat1.01.022/51/5

Over the last 15 matches in all competitions.

A question about MaPS vs I-Kissat?

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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