Match

Ratchaburi vs Sisaket: result 5-2 and analysis

Thai League 1Regular Season - 12Kick-off on May 3, 2017 at 12:00 PM (UTC)Dragon Solar Park, Ratchaburi

Ratchaburi
5-2
Sisaket

Full time

What was the result of Ratchaburi vs Sisaket?

Ratchaburi won 5-2 on May 3, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Ratchaburi have 5 wins, 6 draws and 4 defeats; Sisaket have 3, 1 and 11.

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

Ratchaburi
DateOpponentScoreCompetition
Apr 30, 2017Super Power(away)5-1Thai League 1
Apr 22, 2017Muangthong United(home)1-1Thai League 1
Apr 19, 2017Nakhon Ratchasima FC(away)1-1Thai League 1
Apr 8, 2017Pattaya United(home)1-0Thai League 1
Apr 3, 2017Chonburi FC(away)0-2Thai League 1
Sisaket
DateOpponentScoreCompetition
Apr 29, 2017Buriram United(away)0-3Thai League 1
Apr 22, 2017Super Power(home)1-0Thai League 1
Apr 19, 2017Muangthong United(away)0-3Thai League 1
Apr 8, 2017Nakhon Ratchasima FC(home)3-3Thai League 1
Apr 3, 2017Pattaya United(away)1-2Thai League 1

What does the head-to-head say?

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

DateScoreCompetition
Aug 7, 2016Ratchaburi 4-0 SisaketThai League 1
May 7, 2016Sisaket 1-1 RatchaburiThai League 1
Dec 6, 2015Sisaket 0-1 RatchaburiThai League 1
Jul 19, 2015Ratchaburi 5-1 SisaketThai League 1
Jul 26, 2014Ratchaburi 0-0 SisaketThai League 1
Apr 6, 2014Sisaket 0-0 RatchaburiThai League 1

Last archived meeting: Ratchaburi vs Sisaket on Aug 7, 2016

How many goals should we expect?

Ratchaburi score 1.5 and concede 1.2 goals per match over their last 15; Sisaket score 1.2 and concede 2.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ratchaburi1.51.249/155/15
Sisaket1.22.427/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4Ratchaburi631212610

A question about Ratchaburi vs Sisaket?

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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