Match

Navy FC vs Air Force Central FC: result 3-1 and analysis

Thai League 2Regular Season - 33Kick-off on October 19, 2019 at 11:00 AM (UTC)Sattahip Stadium, Sattahip

Navy FC
3-1
Air Force Central FC

Full time

What was the result of Navy FC vs Air Force Central FC?

Navy FC won 3-1 on October 19, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Navy FC have 3 wins, 4 draws and 8 defeats; Air Force Central FC have 6, 3 and 6.

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

Navy FC
DateOpponentScoreCompetition
Sep 29, 2019Nong Bua Pitchaya(away)1-2Thai League 2
Sep 25, 2019Kasetsart FC(home)1-1Thai League 2
Sep 21, 2019BG Pathum United(away)0-3Thai League 2
Sep 14, 2019Chiangmai United(home)0-2Thai League 2
Aug 25, 2019Udon Thani(away)1-2Thai League 2
Air Force Central FC
DateOpponentScoreCompetition
Sep 29, 2019Sisaket(home)0-2Thai League 2
Sep 25, 2019Customs United(away)2-1Thai League 2
Sep 21, 2019Khonkaen(home)1-2Thai League 2
Sep 14, 2019Ayutthaya FC(away)2-1Thai League 2
Aug 24, 2019Kasetsart FC(home)3-0Thai League 2

What does the head-to-head say?

Across the last 6 meetings: 1 Navy FC win(s), 2 draw(s), 3 Air Force Central FC win(s).

DateScoreCompetition
Jun 22, 2019Air Force Central FC 2-0 Navy FCThai League 2
Sep 5, 2018Air Force Central FC 1-5 Navy FCThai League 1
Apr 21, 2018Navy FC 1-1 Air Force Central FCThai League 1
Oct 20, 2013Air Force Central FC 2-0 Navy FCThai League 2
Jun 9, 2013Navy FC 2-3 Air Force Central FCThai League 2
Aug 18, 2012Air Force Central FC 1-1 Navy FCThai League 2

Last archived meeting: Air Force Central FC vs Navy FC on Jun 22, 2019

How many goals should we expect?

Navy FC score 0.9 and concede 1.6 goals per match over their last 15; Air Force Central FC score 1.3 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Navy FC0.91.638/157/15
Air Force Central FC1.31.3210/1510/15

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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