Match

MP vs NJS: result 1-2 and analysis

Kakkonen - Lohko ARegular Season - 1Kick-off on April 29, 2018 at 03:30 PM (UTC)Mikkelin Urheilupuisto, Mikkeli

MP
1-2
NJS

Full time

What was the result of MP vs NJS?

NJS won 1-2 on April 29, 2018.

Goalscorers

  • 4′J. KuhmonenMP
  • 20′Markus TukiainenNJS
  • 45′J. TukiainenNJS

Official lineup for MP vs NJS

The starting elevens fielded at kick-off.

MP

  1. 9J. Liukkonen
  2. 17Lucas
  1. 7M. Hiltunen
  2. 8E. Simmons
  3. 18J. Kuhmonen
  4. 77S. Kariniitty
  1. 5V. Bikana
  2. 6Ozeias Fernando Graciano
  3. 12Matti Kohonen
  4. 13J. Haikonen
  1. 33S. N'Djock

NJS

  1. 7Niko Aittasalmi
  2. 21Markus Tukiainen
  1. 3Mikko Wahlroos
  2. 8J. Manninen
  3. 9E. Osongo
  4. 13B. Diasonama
  5. 19J. Tukiainen
  6. 26Kelechi Anyamele
  7. 35T. Purme
  1. 4Aapo Mäki
  1. 1O. Knuuttila
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MP have 3 wins, 2 draws and 10 defeats; NJS have 2, 2 and 11.

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

MP
DateOpponentScoreCompetition
Sep 30, 2017PKKU(home)2-2Kakkonen - Lohko A
Sep 21, 2017PEPO(away)1-2Kakkonen - Lohko A
Sep 17, 2017Lahti Akatemia(home)2-3Kakkonen - Lohko A
Sep 13, 2017Legirus Inter(home)4-0Kakkonen - Lohko A
Sep 9, 2017Sudet(away)5-3Kakkonen - Lohko A
NJS
DateOpponentScoreCompetition
Oct 22, 2016HauPa(away)0-3Suomen Cup
Oct 11, 2016KY-Sport(home)5-0Suomen Cup
Sep 11, 2016HyPS(home)4-2Suomen Cup
Feb 11, 2016Kontu(home)0-1Suomen Cup
Oct 3, 2015TPV(away)0-4Kakkonen - Lohko B

How many goals should we expect?

MP score 1.7 and concede 2.2 goals per match over their last 15; NJS score 1.1 and concede 2.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MP1.72.2110/1511/15
NJS1.12.915/1510/15

Over the last 15 matches in all competitions.

A question about MP vs NJS?

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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