Sisaket vs Thai Honda FC: result 3-3 and analysis
Thai League 2Regular Season - 24Kick-off on August 5, 2018 at 11:00 AM (UTC)Sri Nakhon Lamduan Stadium, Sisaket
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What was the result of Sisaket vs Thai Honda FC?
Sisaket and Thai Honda FC drew 3-3 on August 5, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sisaket have 9 wins, 3 draws and 3 defeats; Thai Honda FC have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2018 | Khonkaen(home) | 4-3 | FA Cup |
| Jul 28, 2018 | Rayong FC(away) | 0-0 | Thai League 2 |
| Jul 25, 2018 | Navy FC(away) | 2-0 | FA Cup |
| Jul 22, 2018 | Samut Sakhon FC(home) | 2-2 | Thai League 2 |
| Jul 14, 2018 | Trat FC(away) | 1-3 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 21, 2018 | Kasetsart FC(away) | 2-1 | Thai League 2 |
| Jul 15, 2018 | PTT Rayong(home) | 0-3 | Thai League 2 |
| Jul 8, 2018 | Ang Thong FC(away) | 1-2 | Thai League 2 |
| Jun 30, 2018 | Army United(away) | 0-1 | Thai League 2 |
| Jun 27, 2018 | Chainat United(away) | 0-1 | FA Cup |
What does the head-to-head say?
Across the last 3 meetings: 1 Sisaket win(s), 1 draw(s), 1 Thai Honda FC win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 20, 2018 | Thai Honda FC 1-1 Sisaket | Thai League 2 |
| Nov 8, 2017 | Sisaket 2-5 Thai Honda FC | Thai League 1 |
| May 20, 2017 | Thai Honda FC 2-3 Sisaket | Thai League 1 |
Last archived meeting: Thai Honda FC vs Sisaket on Apr 20, 2018
How many goals should we expect?
Sisaket score 2.0 and concede 1.1 goals per match over their last 15; Thai Honda FC score 0.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sisaket | 2.0 | 1.1 | 5 | 8/15 | 7/15 |
| Thai Honda FC | 0.8 | 1.3 | 2 | 7/15 | 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