Match

TPV vs Haka: result 1-3 and analysis

Suomen Cup6th RoundKick-off on April 24, 2013 at 03:30 PM (UTC)Pyynikin urheilukenttä, Tampere

TPV
1-3
Haka

Full time

What was the result of TPV vs Haka?

Haka won 1-3 on April 24, 2013.

Goalscorers

  • 32′J. PirinenHaka
  • 34′M. KoromaTPV
  • 40′Tomi PetrescuHaka
  • 56′Jussi AaltoHaka

Official lineup for TPV vs Haka

The starting elevens fielded at kick-off.

TPV

  1. AAbdulhakim Abdullahi Muhumud
  1. MM. Koroma
  2. JJusu Karvonen
  3. SS. Korsunov
  4. SS. Jokela
  5. TTommi Smeets
  6. KK. Lahti
  1. MM. Lindroos
  2. AA. Sossou
  3. RR. Vihinen
  1. AAntti Peltonen

Haka

  1. TTomi Petrescu
  2. JJussi Aalto
  3. LLasse Linjala
  1. MMarco Matrone
  2. SSakari Saarinen
  3. DDema
  4. VVenance Zézé
  1. JJ. Pirinen
  2. JJuuso Salonen
  3. OO. Aiyegbusi
  1. SS. Pesonen
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What is the recent form of both teams?

Over their last 7 matches in all competitions, TPV have 5 wins, 1 draw and 1 defeat; Haka have 5, 4 and 6.

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

TPV
DateOpponentScoreCompetition
Apr 13, 2013TP-47(away)4-2Suomen Cup
Mar 23, 2013P-Iirot(home)2-0Suomen Cup
Mar 9, 2013Hämeenlinna(home)6-1Suomen Cup
Oct 6, 2012Härmä(away)2-1Kakkonen - Lohko B
Sep 30, 2012Kiisto(home)1-1Kakkonen - Lohko B
Haka
DateOpponentScoreCompetition
Apr 17, 2013KäPa(home)4-0Suomen Cup
Mar 17, 2013MaPS(away)4-0Suomen Cup
Mar 9, 2013Ilves(home)2-0Suomen Cup
Oct 27, 2012VPS(away)1-0Veikkausliiga
Oct 22, 2012Honka(home)1-0Veikkausliiga

How many goals should we expect?

TPV score 2.6 and concede 1.3 goals per match over their last 7; Haka score 1.3 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TPV2.61.315/74/7
Haka1.31.766/158/15

Over the last 7 matches in all competitions.

A question about TPV vs Haka?

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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