Match

Super Power vs Navy FC: result 3-2 and analysis

Thai League 1Regular Season - 30Kick-off on October 14, 2017 at 01:00 PM (UTC)Super Power Stadium, Samut Prakan

Super Power
3-2
Navy FC

Full time

What was the result of Super Power vs Navy FC?

Super Power won 3-2 on October 14, 2017.

Goalscorers

  • 17′100907Super Power
  • 44′Chusana NumkanitsornNavy FC
  • 47′Gafar Adefolarin DurosinmiNavy FC
  • 51′49225Super Power
  • 63′100916Super Power

What is the recent form of both teams?

Over their last 15 matches in all competitions, Super Power have 1 wins, 0 draws and 14 defeats; Navy FC have 4, 6 and 5.

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

Super Power
DateOpponentScoreCompetition
Sep 23, 2017Bangkok United(away)0-4Thai League 1
Sep 20, 2017Suphanburi(home)1-3Thai League 1
Sep 17, 2017Ratchaburi(away)2-6Thai League 1
Sep 10, 2017Sisaket(home)1-3Thai League 1
Aug 6, 2017Buriram United(home)0-7Thai League 1
Navy FC
DateOpponentScoreCompetition
Sep 23, 2017Muangthong United(home)1-2Thai League 1
Sep 20, 2017Nakhon Ratchasima FC(away)1-1Thai League 1
Sep 17, 2017Pattaya United(home)2-2Thai League 1
Sep 10, 2017Chonburi FC(home)2-2Thai League 1
Aug 6, 2017Police Tero(away)0-0Thai League 1

What does the head-to-head say?

Across the last 4 meetings: 3 Super Power win(s), 0 draw(s), 1 Navy FC win(s).

DateScoreCompetition
May 14, 2017Navy FC 3-1 Super PowerThai League 1
Mar 16, 2016Super Power 1-0 Navy FCThai League 1
Aug 1, 2015Super Power 2-1 Navy FCThai League 1
Feb 22, 2015Navy FC 0-1 Super PowerThai League 1

Last archived meeting: Navy FC vs Super Power on May 14, 2017

How many goals should we expect?

Super Power score 0.9 and concede 4.7 goals per match over their last 15; Navy FC score 1.3 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Super Power0.94.709/1514/15
Navy FC1.31.739/159/15

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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