Match

Thai Honda FC vs Ubon UMT: result 4-4 and analysis

Thai League 1Regular Season - 22Kick-off on July 5, 2017 at 10:45 AM (UTC)Minburi 72nd Anniversary Stadium, Bangkok

Thai Honda FC
4-4
Ubon UMT

Full time

What was the result of Thai Honda FC vs Ubon UMT?

Thai Honda FC and Ubon UMT drew 4-4 on July 5, 2017.

Goalscorers

  • 22′Thiago SantosUbon UMT
  • 45′100942Thai Honda FC (pen.)
  • 47′100905Thai Honda FC
  • 58′80335Thai Honda FC
  • 63′Victor CardozoUbon UMT (pen.)
  • 76′Carlos Alexandre de Souza SilvaUbon UMT
  • 90′49287Thai Honda FC
  • 90′49084Ubon UMT

What is the recent form of both teams?

Over their last 15 matches in all competitions, Thai Honda FC have 4 wins, 0 draws and 11 defeats; Ubon UMT have 4, 5 and 6.

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

Thai Honda FC
DateOpponentScoreCompetition
Jul 2, 2017Port FC(away)1-3Thai League 1
Jun 28, 2017Buriram United(away)0-2Thai League 1
Jun 25, 2017Navy FC(home)0-2Thai League 1
Jun 21, 2017Muangchang United(home)10-0FA Cup
Jun 18, 2017Bangkok United(away)4-5Thai League 1
Ubon UMT
DateOpponentScoreCompetition
Jul 2, 2017Navy FC(home)2-2Thai League 1
Jun 28, 2017Bangkok United(away)2-3Thai League 1
Jun 24, 2017Suphanburi(home)2-2Thai League 1
Jun 21, 2017Rayong United(away)2-2FA Cup
Jun 17, 2017Ratchaburi(away)0-1Thai League 1

What does the head-to-head say?

Across the last 3 meetings: 0 Thai Honda FC win(s), 2 draw(s), 1 Ubon UMT win(s).

DateScoreCompetition
Mar 11, 2017Ubon UMT 3-1 Thai Honda FCThai League 1
Jul 31, 2016Ubon UMT 1-1 Thai Honda FCThai League 2
Mar 12, 2016Thai Honda FC 1-1 Ubon UMTThai League 2

Last archived meeting: Ubon UMT vs Thai Honda FC on Mar 11, 2017

How many goals should we expect?

Thai Honda FC score 1.7 and concede 1.8 goals per match over their last 15; Ubon UMT score 1.3 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Thai Honda FC1.71.846/157/15
Ubon UMT1.31.5310/159/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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