Ratchaburi vs Thai Honda FC: result 3-1 and analysis
FA CupQuarter-finalsKick-off on August 7, 2019 at 12:00 PM (UTC)Dragon Solar Park, Ratchaburi
Full time
What was the result of Ratchaburi vs Thai Honda FC?
Ratchaburi won 3-1 on August 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ratchaburi have 7 wins, 4 draws and 4 defeats; Thai Honda FC have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2019 | Chiangrai United(away) | 1-1 | Thai League 1 |
| Jul 31, 2019 | Pattaya United(home) | 5-2 | Thai League 1 |
| Jul 27, 2019 | Muangthong United(away) | 1-2 | Thai League 1 |
| Jul 20, 2019 | Chiangmai FC(home) | 4-1 | Thai League 1 |
| Jul 17, 2019 | Nakhon Si Thammarat(away) | 2-0 | FA Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Kasetsart FC(away) | 1-2 | Thai League 2 |
| Jul 31, 2019 | Lampang FC(home) | 1-1 | Thai League 2 |
| Jul 27, 2019 | Air Force Central FC(away) | 1-2 | Thai League 2 |
| Jul 20, 2019 | Samut Sakhon FC(home) | 1-1 | Thai League 2 |
| Jul 17, 2019 | Pattaya United(home) | 3-2 | FA Cup |
What does the head-to-head say?
Across the last 2 meetings: 2 Ratchaburi win(s), 0 draw(s), 0 Thai Honda FC win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 11, 2017 | Thai Honda FC 1-2 Ratchaburi | Thai League 1 |
| May 27, 2017 | Ratchaburi 3-2 Thai Honda FC | Thai League 1 |
Last archived meeting: Thai Honda FC vs Ratchaburi on Nov 11, 2017
How many goals should we expect?
Ratchaburi score 1.9 and concede 1.1 goals per match over their last 15; Thai Honda FC score 1.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ratchaburi | 1.9 | 1.1 | 5 | 7/15 | 7/15 |
| Thai Honda FC | 1.6 | 1.0 | 4 | 10/15 | 7/15 |
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