Match

MaPS vs TPV: result 0-4 and analysis

Kakkonen - Lohko CRegular Season - 5Kick-off on June 14, 2013 at 03:30 PM (UTC)Masku Taponketo nurmi, Masku

MaPS
0-4
TPV

Full time

What was the result of MaPS vs TPV?

TPV won 0-4 on June 14, 2013.

Goalscorers

  • 25′M. KoromaTPV
  • 60′Mika AhonenTPV
  • 68′T. IntalaTPV
  • 89′R. DieterTPV

Official lineup for MaPS vs TPV

The starting elevens fielded at kick-off.

MaPS

  1. 9V. Parko
  1. 6Rasmus Holma
  2. 8Santeri Suvala
  3. 11N. Harjula
  4. 12Petteri Peltola
  5. 17Jami Laaksonen
  6. 20Petteri Laaksonen
  1. 3J. Malka
  2. 4Kalle Mäkinen
  3. 16Toni Järvinen
  1. 23V. Seppänen

TPV

  1. 7Abdulhakim Abdullahi Muhumud
  2. 13Mika Ahonen
  1. 2K. Lahti
  2. 8M. Koroma
  3. 10S. Korsunov
  4. 15Teppo Syrjänen
  5. 20Jusu Karvonen
  1. 3R. Vihinen
  2. 6M. Lindroos
  3. 27Aleksi Tossavainen
  1. 1Antti Loukiala
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What is the recent form of both teams?

Over their last 13 matches in all competitions, MaPS have 6 wins, 3 draws and 4 defeats; TPV have 9, 1 and 5.

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

MaPS
DateOpponentScoreCompetition
Jun 9, 2013Härmä(away)2-0Kakkonen - Lohko C
May 31, 2013Musa(home)4-0Kakkonen - Lohko C
May 26, 2013Kraft(away)2-3Kakkonen - Lohko C
May 23, 2013Hämeenlinna(away)5-3Kakkonen - Lohko C
May 19, 2013P-Iirot(away)0-1Kakkonen - Lohko C
TPV
DateOpponentScoreCompetition
Jun 9, 2013FC jazz(away)2-1Kakkonen - Lohko C
Jun 3, 2013ÅIFK(home)1-0Kakkonen - Lohko C
May 25, 2013Musa(away)3-0Kakkonen - Lohko C
May 18, 2013Härmä(home)0-1Kakkonen - Lohko C
May 12, 2013P-Iirot(home)2-0Kakkonen - Lohko C

How many goals should we expect?

MaPS score 2.0 and concede 1.5 goals per match over their last 13; TPV score 1.9 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MaPS2.01.547/138/13
TPV1.91.248/158/15

Over the last 13 matches in all competitions.

A question about MaPS vs TPV?

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

Other matches in the same round

Next match: MaPS and TPV

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