Match

TP-47 vs JPS: result 1-0 and analysis

Kakkonen - Lohko CGroup C - 9Kick-off on June 8, 2024 at 02:00 PM (UTC)Puuluoto Tekonurmi, Tornio

TP-47
1-0
JPS

Full time

What was the result of TP-47 vs JPS?

TP-47 won 1-0 on June 8, 2024.

Goalscorers

  • 47′E. LanttoTP-47

Official lineup for TP-47 vs JPS

The starting elevens fielded at kick-off.

TP-47

  1. 2T. Wiena
  2. 19J. Erkinmikko
  1. 8J. Alamäki
  2. 9V. Moilanen
  3. 10N. Kerkelä
  4. 11L. Koivumies
  5. 77A. Gullsten
  1. 3Henri Korkeamäki
  2. 5J. Isokangas
  3. 27J. Lohela
  1. 47A. Peltokorpi

JPS

  1. 3E. Salmi
  2. 9Samuel Arponen
  3. 25Veka Pyyny
  4. 75Joni Rintatalo
  1. 8T. Naskali
  2. 17J. Niskajärvi
  3. 26L. Laakso
  1. 4J. Peltoniemi
  2. 15O. Sormunen
  3. 16S. Aatsinki
  1. 1Eetu Lindfors
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What is the recent form of both teams?

Over their last 15 matches in all competitions, TP-47 have 5 wins, 4 draws and 6 defeats; JPS have 6, 2 and 7.

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

TP-47
DateOpponentScoreCompetition
Jun 2, 2024Kraft(away)2-2Kakkonen - Lohko C
May 29, 2024OTP(home)1-0Kakkonen - Lohko C
May 25, 2024GBK(home)3-7Kakkonen - Lohko C
May 16, 2024JS Hercules(away)7-1Kakkonen - Lohko C
May 12, 2024Kuopion Elo(home)1-1Kakkonen - Lohko C
JPS
DateOpponentScoreCompetition
Jun 2, 2024OPS Oulu(home)6-2Kakkonen - Lohko C
May 26, 2024Kraft(away)1-1Kakkonen - Lohko C
May 18, 2024JBK(home)0-1Kakkonen - Lohko C
May 12, 2024JS Hercules(away)1-3Kakkonen - Lohko C
May 4, 2024OTP(away)1-0Kakkonen - Lohko C

How many goals should we expect?

TP-47 score 1.9 and concede 1.7 goals per match over their last 15; JPS score 1.5 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TP-471.91.729/158/15
JPS1.51.738/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
7TP-4718657283523

A question about TP-47 vs JPS?

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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