Match

Super Power vs Pattaya United: result 2-1 and analysis

Thai League 1Regular Season - 26Kick-off on August 6, 2016 at 12:00 PM (UTC)Super Power Stadium, Samut Prakan

Super Power
2-1
Pattaya United

Full time

What was the result of Super Power vs Pattaya United?

Super Power won 2-1 on August 6, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Super Power have 3 wins, 1 draw and 11 defeats; Pattaya United have 4, 3 and 8.

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

Super Power
DateOpponentScoreCompetition
Jul 30, 2016Suphanburi(away)3-2Thai League 1
Jul 23, 2016Sukhothai FC(home)1-3Thai League 1
Jul 20, 2016Chiangrai United(away)0-2Thai League 1
Jul 16, 2016Chonburi FC(home)1-0Thai League 1
Jul 13, 2016Sukhothai FC(away)0-2FA Cup
Pattaya United
DateOpponentScoreCompetition
Jul 31, 2016Chainat(home)2-4Thai League 1
Jul 24, 2016Bbcu(away)3-2Thai League 1
Jul 20, 2016Army United(home)2-2Thai League 1
Jul 17, 2016Buriram United(away)2-4Thai League 1
Jul 13, 2016Muangthong United(home)1-4FA Cup

What does the head-to-head say?

Across the last 5 meetings: 3 Super Power wins, 1 draw, 1 Pattaya United win.

DateScoreCompetition
May 8, 2016Pattaya United 2-0 Super PowerThai League 1
Jul 20, 2013Super Power 2-1 Pattaya UnitedThai League 1
Mar 10, 2013Pattaya United 1-2 Super PowerThai League 1
Sep 15, 2012Super Power 4-2 Pattaya UnitedThai League 1
May 13, 2012Pattaya United 0-0 Super PowerThai League 1

Last archived meeting: Pattaya United vs Super Power on May 8, 2016

How many goals should we expect?

Super Power score 1.4 and concede 2.7 goals per match over their last 15; Pattaya United score 1.4 and concede 2.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Super Power1.42.729/1510/15
Pattaya United1.42.6011/1511/15

Over the last 15 matches in all competitions.

A question about Super Power vs Pattaya United?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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