Match

PTT Rayong vs TOT: result 1-1 and analysis

Thai League 1Regular Season - 14Kick-off on June 4, 2014 at 11:00 AM (UTC)PTT Stadium, Rayong

PTT Rayong
1-1
TOT

Full time

What was the result of PTT Rayong vs TOT?

PTT Rayong and TOT drew 1-1 on June 4, 2014.

Goalscorers

  • 31′A. OuattaraPTT Rayong
  • 32′244192TOT

Official lineup for PTT Rayong vs TOT

The starting elevens fielded at kick-off.

PTT Rayong

  1. 2A. Ouattara
  2. 9K. Keawsombut
  3. 27Rufo
  1. 7Siwapong Jarernsin
  2. 5P. Mansiri
  3. 10N. Vachiraban
  4. 14A. Srikumpang
  5. 22T. Kuenkhunthod
  6. 23P. Thepma
  7. 25U. Teerajantranon
  1. 3Trent McClenahan

TOT

  1. 17Young-Sun Gong
  2. 33Ki-Gu Ko
  1. 21P. Deeprom
  2. 23P. Nantasri
  3. 1W. Koedpudsa
  4. 5T. Kawamura
  5. 6J. Nontaket
  6. 7P. Phetphun
  7. 8N. Pol-udom
  8. 13W. Leksoonthon
  9. 32M. Koné
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What is the recent form of both teams?

Over their last 15 matches in all competitions, PTT Rayong have 3 wins, 6 draws and 6 defeats; TOT have 6, 5 and 4.

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

PTT Rayong
DateOpponentScoreCompetition
Jun 1, 2014Songkhla United(home)4-0Thai League 1
May 28, 2014Police United(away)0-1Thai League 1
May 21, 2014Thai Honda FC(home)3-2FA Cup
May 10, 2014Bangkok United(home)1-1Thai League 1
May 3, 2014Super Power(away)1-1Thai League 1
TOT
DateOpponentScoreCompetition
May 31, 2014Samut Songkhram(home)1-2Thai League 1
May 28, 2014Chiangrai United(home)0-1Thai League 1
May 21, 2014Ayutthaya(home)2-1FA Cup
May 18, 2014BG Pathum United(home)1-1Thai League 1
May 10, 2014Police Tero(away)1-1Thai League 1

How many goals should we expect?

PTT Rayong score 1.3 and concede 1.7 goals per match over their last 15; TOT score 1.2 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PTT Rayong1.31.729/157/15
TOT1.21.048/155/15

Over the last 15 matches in all competitions.

A question about PTT Rayong vs TOT?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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