Match

Chainat vs Suphanburi: result 3-2 and analysis

FA CupQuarter-finalsKick-off on September 21, 2016 at 12:00 PM (UTC)Khao Plong Stadium, Chainat

Chainat
3-2
Suphanburi

Full time

What was the result of Chainat vs Suphanburi?

Chainat won 3-2 on September 21, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Chainat have 8 wins, 2 draws and 5 defeats; Suphanburi have 6, 2 and 7.

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

Chainat
DateOpponentScoreCompetition
Sep 17, 2016Army United(away)4-2Thai League 1
Sep 10, 2016Super Power(away)2-4Thai League 1
Aug 20, 2016Sukhothai FC(home)3-2Thai League 1
Aug 13, 2016Bbcu(away)1-2Thai League 1
Aug 7, 2016Buriram United(home)4-4Thai League 1
Suphanburi
DateOpponentScoreCompetition
Sep 18, 2016BG Pathum United(away)1-3Thai League 1
Sep 10, 2016Nakhon Ratchasima FC(home)3-1Thai League 1
Aug 20, 2016Police Tero(away)0-2Thai League 1
Aug 14, 2016Muangthong United(home)0-1Thai League 1
Aug 6, 2016Army United(away)1-0Thai League 1

What does the head-to-head say?

Across the last 6 meetings: 0 Chainat wins, 1 draw, 5 Suphanburi wins.

DateScoreCompetition
Jul 23, 2016Chainat 1-1 SuphanburiThai League 1
Apr 27, 2016Suphanburi 1-0 ChainatThai League 1
Nov 28, 2015Chainat 1-2 SuphanburiThai League 1
Jul 22, 2015Suphanburi 1-0 ChainatThai League 1
Oct 22, 2014Chainat 0-1 SuphanburiThai League 1
May 31, 2014Suphanburi 2-0 ChainatThai League 1

Last archived meeting: Chainat vs Suphanburi on Jul 23, 2016

How many goals should we expect?

Chainat score 2.1 and concede 2.1 goals per match over their last 15; Suphanburi score 1.2 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chainat2.12.1212/1511/15
Suphanburi1.21.257/157/15

Over the last 15 matches in all competitions.

A question about Chainat vs Suphanburi?

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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