Match

Chainat vs Ratchaburi: result 4-1 and analysis

Thai League 1Regular Season - 22Kick-off on November 14, 2015 at 12:00 PM (UTC)Khao Plong Stadium, Chainat

Chainat
4-1
Ratchaburi

Full time

What was the result of Chainat vs Ratchaburi?

Chainat won 4-1 on November 14, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Chainat have 5 wins, 4 draws and 6 defeats; Ratchaburi have 8, 1 and 6.

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

Chainat
DateOpponentScoreCompetition
Nov 7, 2015Saraburi(away)2-3Thai League 1
Nov 1, 2015Sisaket(home)1-2Thai League 1
Oct 25, 2015Police Tero(home)1-1Thai League 1
Oct 17, 2015BG Pathum United(away)0-3Thai League 1
Sep 27, 2015Nakhon Ratchasima FC(home)1-1Thai League 1
Ratchaburi
DateOpponentScoreCompetition
Oct 31, 2015Suphanburi(home)1-2Thai League 1
Oct 28, 2015Buriram United(away)0-5Thai League 1
Oct 25, 2015Port FC(home)1-0Thai League 1
Oct 18, 2015Police Tero(away)1-4Thai League 1
Sep 26, 2015BG Pathum United(home)1-0Thai League 1

What does the head-to-head say?

Across the last 6 meetings: 3 Chainat wins, 3 draws, 0 Ratchaburi wins.

DateScoreCompetition
Sep 23, 2015Chainat 4-3 RatchaburiFA Cup
Apr 5, 2015Ratchaburi 1-1 ChainatThai League 1
Aug 13, 2014Chainat 2-2 RatchaburiThai League 1
Apr 26, 2014Ratchaburi 1-1 ChainatThai League 1
Sep 15, 2013Chainat 2-0 RatchaburiThai League 1
May 18, 2013Ratchaburi 2-3 ChainatThai League 1

Last archived meeting: Chainat vs Ratchaburi on Sep 23, 2015

How many goals should we expect?

Chainat score 1.5 and concede 1.9 goals per match over their last 15; Ratchaburi score 1.8 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chainat1.51.939/158/15
Ratchaburi1.81.958/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6Ratchaburi4211937

A question about Chainat vs Ratchaburi?

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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