Match

Air Force Central FC vs Thai Honda FC: result 2-1 and analysis

Thai League 2Regular Season - 22Kick-off on July 27, 2019 at 12:00 PM (UTC)Thupatemee Stadium, Bangkok

Air Force Central FC
2-1
Thai Honda FC

Full time

What was the result of Air Force Central FC vs Thai Honda FC?

Air Force Central FC won 2-1 on July 27, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Air Force Central FC have 1 wins, 6 draws and 8 defeats; Thai Honda FC have 10, 4 and 1.

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

Air Force Central FC
DateOpponentScoreCompetition
Jul 20, 2019Chiangmai United(away)1-4Thai League 2
Jul 13, 2019Lampang FC(home)1-1Thai League 2
Jul 6, 2019Nong Bua Pitchaya(away)0-0Thai League 2
Jun 29, 2019Udon Thani(away)0-1Thai League 2
Jun 22, 2019Navy FC(home)2-0Thai League 2
Thai Honda FC
DateOpponentScoreCompetition
Jul 20, 2019Samut Sakhon FC(home)1-1Thai League 2
Jul 17, 2019Pattaya United(home)3-2FA Cup
Jul 14, 2019Army United(away)2-2Thai League 2
Jul 7, 2019Navy FC(home)2-0Thai League 2
Jun 29, 2019Ubon UMT(away)1-0Thai League 2

What does the head-to-head say?

Across the last 5 meetings: 1 Air Force Central FC win(s), 2 draw(s), 2 Thai Honda FC win(s).

DateScoreCompetition
Mar 16, 2019Thai Honda FC 2-1 Air Force Central FCThai League 2
Aug 7, 2016Thai Honda FC 3-3 Air Force Central FCThai League 2
Apr 23, 2016Air Force Central FC 1-1 Thai Honda FCThai League 2
Aug 8, 2015Thai Honda FC 3-1 Air Force Central FCThai League 2
Mar 8, 2015Air Force Central FC 3-0 Thai Honda FCThai League 2

Last archived meeting: Thai Honda FC vs Air Force Central FC on Mar 16, 2019

How many goals should we expect?

Air Force Central FC score 0.8 and concede 2.0 goals per match over their last 15; Thai Honda FC score 1.8 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Air Force Central FC0.82.037/157/15
Thai Honda FC1.80.868/157/15

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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