Match

Thailand vs Myanmar: result 2-0 and analysis

ASEAN ChampionshipGroup Stage - 3Kick-off on November 29, 2014 at 12:00 PM (UTC)Thammasat Stadium, Pathum Thani

Thailand
2-0
Myanmar

Full time

What was the result of Thailand vs Myanmar?

Thailand won 2-0 on November 29, 2014.

Goalscorers

  • 12′T. KesaratThailand
  • 84′P. DeepromThailand

Official lineup for Thailand vs Myanmar

The starting elevens fielded at kick-off.

Thailand

  1. 10K. Keawsombut
  2. 22Sompong Soleb
  1. 12P. Deeprom
  2. 14P. Masuk
  3. 17T. Kesarat
  4. 19Adul Lahsoh
  5. 15C. Kitpongsrithada
  1. 3P. Boonyong
  2. 5Suttinun Phuk-hom
  3. 8A. Daosawang
  1. 20C. Sae-Ear

Myanmar

  1. 10Kyaw Ko Ko
  2. 25Soe Min Oo
  1. 4Htan David
  2. 7Kyaw Zayar Win
  3. 8Min Thu Min
  4. 33Lin Kyi
  5. 12Sithu Aung
  1. 2Aung Zaw
  2. 3Zaw Min Tun
  3. 24Win Min Htut
  1. 1Sithu Thiha
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Thailand have 2 wins, 0 draws and 0 defeats; Myanmar have 6, 3 and 3.

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

Thailand
DateOpponentScoreCompetition
Nov 26, 2014Malaysia(away)3-2ASEAN Championship
Nov 23, 2014Singapore(away)2-1ASEAN Championship
Myanmar
DateOpponentScoreCompetition
Nov 26, 2014Singapore(home)2-4ASEAN Championship
Nov 23, 2014Malaysia(away)0-0ASEAN Championship
Oct 20, 2014Laos(home)2-1ASEAN Championship
Oct 18, 2014Cambodia(away)1-0ASEAN Championship
Oct 16, 2014Brunei(away)3-1ASEAN Championship

How many goals should we expect?

Thailand score 2.5 and concede 1.5 goals per match over their last 2; Myanmar score 1.5 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Thailand2.51.502/22/2
Myanmar1.51.055/125/12

Over the last 2 matches in all competitions.

A question about Thailand vs Myanmar?

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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