Match

Saraburi vs TOT: result 1-1 and analysis

Thai League 1Regular Season - 9Kick-off on May 2, 2015 at 11:00 AM (UTC)Saraburi Stadium, Saraburi

Saraburi
1-1
TOT

Full time

What was the result of Saraburi vs TOT?

Saraburi and TOT drew 1-1 on May 2, 2015.

Goalscorers

  • 22′243940Saraburi (pen.)
  • 90′P. NantasriTOT

Official lineup for Saraburi vs TOT

The starting elevens fielded at kick-off.

Saraburi

  1. 11B. Doumbia
  2. 27B. Diouf
  1. 6T. Chamsa-ad
  2. 8P. Srimarueang
  3. 15T. Promdard
  4. 17Douglas
  5. 21S. Chotiwecharak
  6. 38Y. Liamkhai
  1. 5Y. Srilakon
  2. 30W. Rattana
  1. 26P. Dokmaikeaw

TOT

  1. 10Basir Mohammed Savage
  1. 35P. Phonsa
  2. 1W. Koedpudsa
  3. 5T. Kawamura
  4. 6J. Nontaket
  5. 8N. Pol-udom
  6. 13K. Mekpatcharakul
  7. 15P. Phetphun
  8. 26A. Boonpa
  9. 29A. Kaewpila
  10. 30P. Saisorn
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Saraburi have 4 wins, 2 draws and 9 defeats; TOT have 3, 3 and 9.

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

Saraburi
DateOpponentScoreCompetition
Apr 29, 2015Bangkok United(away)2-4Thai League 1
Apr 25, 2015Ratchaburi(home)1-2Thai League 1
Apr 4, 2015Navy FC(away)0-2Thai League 1
Mar 11, 2015Chiangrai United(home)1-1Thai League 1
Mar 7, 2015Sisaket(away)0-1Thai League 1
TOT
DateOpponentScoreCompetition
Apr 29, 2015Sisaket(home)1-0Thai League 1
Apr 25, 2015Police Tero(away)0-2Thai League 1
Apr 5, 2015BG Pathum United(home)2-1Thai League 1
Mar 11, 2015Nakhon Ratchasima FC(away)1-2Thai League 1
Mar 8, 2015Chainat(home)1-2Thai League 1

How many goals should we expect?

Saraburi score 1.3 and concede 1.9 goals per match over their last 15; TOT score 0.9 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Saraburi1.31.9211/1511/15
TOT0.91.8111/158/15

Over the last 15 matches in all competitions.

A question about Saraburi 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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