Match

Army United vs Super Power: result 1-3 and analysis

Thai League 1Regular Season - 6Kick-off on April 5, 2015 at 12:00 PM (UTC)Thai Army Sports Stadium, Bangkok

Army United
1-3
Super Power

Full time

What was the result of Army United vs Super Power?

Super Power won 1-3 on April 5, 2015.

Goalscorers

  • 24′E. PhumpiphaArmy United
  • 49′Addison Alves de OliveiraSuper Power
  • 75′Addison Alves de OliveiraSuper Power
  • 87′A. Moura-KomenanSuper Power

What is the recent form of both teams?

Over their last 15 matches in all competitions, Army United have 7 wins, 4 draws and 4 defeats; Super Power have 5, 4 and 6.

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

Army United
DateOpponentScoreCompetition
Mar 11, 2015Chainat(away)2-0Thai League 1
Mar 8, 2015Ratchaburi(home)3-1Thai League 1
Mar 1, 2015Bangkok United(home)1-1Thai League 1
Feb 21, 2015TOT(away)2-1Thai League 1
Feb 14, 2015Navy FC(home)1-0Thai League 1
Super Power
DateOpponentScoreCompetition
Mar 11, 2015Ratchaburi(home)0-2Thai League 1
Mar 7, 2015Bangkok United(away)0-1Thai League 1
Mar 1, 2015TOT(home)2-1Thai League 1
Feb 22, 2015Navy FC(away)1-0Thai League 1
Feb 15, 2015Suphanburi(home)1-1Thai League 1

What does the head-to-head say?

Across the last 6 meetings: 2 Army United win(s), 0 draw(s), 4 Super Power win(s).

DateScoreCompetition
Nov 2, 2014Army United 2-0 Super PowerThai League 1
Jun 22, 2014Super Power 5-3 Army UnitedThai League 1
Oct 27, 2013Army United 1-0 Super PowerThai League 1
Jun 22, 2013Super Power 2-1 Army UnitedThai League 1
Oct 10, 2012Super Power 1-0 Army UnitedThai League 1
Apr 8, 2012Army United 1-3 Super PowerThai League 1

Last archived meeting: Army United vs Super Power on Nov 2, 2014

How many goals should we expect?

Army United score 1.5 and concede 1.3 goals per match over their last 15; Super Power score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Army United1.51.3410/158/15
Super Power1.11.337/155/15

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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