Match

Suphanburi vs Chainat: result 2-0 and analysis

Thai League 1Regular Season - 15Kick-off on June 8, 2013 at 11:00 AM (UTC)Suphanburi Municipality Stadium, Suphanburi

Suphanburi
2-0
Chainat

Full time

What was the result of Suphanburi vs Chainat?

Suphanburi won 2-0 on June 8, 2013.

Goalscorers

  • 8′100789Suphanburi
  • 86′Christian Geovanny Castillo MartínezSuphanburi

Official lineup for Suphanburi vs Chainat

The starting elevens fielded at kick-off.

Suphanburi

  1. 10Dragan Bošković
  2. 16M. Chunuonsee
  3. 28P. Jaibun
  4. 32Decha Sa-ardchom
  5. 13W. Tatong
  6. 14A. Ganu
  7. 20Tae-Young Kim
  8. 22T. Kamkhoma
  9. 34P. Sokam
  1. 17Njie Ngenevu Divine
  1. 26K. Phoothawchuek

Chainat

  1. 11S. Purisai
  2. 23Michael Thomas Byrne
  3. 32Ratchapol Nawanno
  4. 3V. Hiek
  5. 7S. Ngamtip
  6. 10N. Vachiraban
  7. 14S. Mungkud
  8. 18K. Kerdphon
  9. 33S. Sattabud
  1. 4C. Kerdkaew
  2. 34Seon Power
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Suphanburi have 8 wins, 5 draws and 2 defeats; Chainat have 5, 7 and 3.

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

Suphanburi
DateOpponentScoreCompetition
Jun 1, 2013BG Pathum United(away)0-0Thai League 1
May 29, 2013Muangthong United(home)3-1Thai League 1
May 26, 2013TOT(home)3-1Thai League 1
May 18, 2013Bangkok United(away)2-1Thai League 1
May 12, 2013Pattaya United(home)1-2Thai League 1
Chainat
DateOpponentScoreCompetition
Jun 1, 2013TOT(home)0-0Thai League 1
May 29, 2013Bangkok United(away)2-3Thai League 1
May 26, 2013Pattaya United(home)4-2Thai League 1
May 18, 2013Ratchaburi(away)3-2Thai League 1
May 11, 2013Chonburi FC(home)1-2Thai League 1

How many goals should we expect?

Suphanburi score 1.4 and concede 0.7 goals per match over their last 15; Chainat score 1.1 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Suphanburi1.40.768/154/15
Chainat1.10.886/154/15

Over the last 15 matches in all competitions.

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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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