PTT Rayong vs Saraburi: result 1-1 and analysis
Thai League 2Regular Season - 23Kick-off on August 10, 2013 at 11:00 AM (UTC)PTT Stadium, Rayong
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What was the result of PTT Rayong vs Saraburi?
PTT Rayong and Saraburi drew 1-1 on August 10, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PTT Rayong have 10 wins, 5 draws and 0 defeats; Saraburi have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2013 | Ayutthaya(home) | 2-1 | Thai League 2 |
| Jul 20, 2013 | Nakhon Pathom(home) | 1-0 | Thai League 2 |
| Jul 13, 2013 | Phuket(away) | 0-0 | Thai League 2 |
| Jul 10, 2013 | Police Tero(away) | 2-1 | FA Cup |
| Jul 7, 2013 | TTM Customs FC(away) | 0-0 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2013 | Rayong FC(away) | 2-0 | Thai League 2 |
| Jul 21, 2013 | Khonkaen(away) | 2-0 | Thai League 2 |
| Jul 6, 2013 | Navy FC(home) | 2-1 | Thai League 2 |
| Jun 30, 2013 | Sriracha(home) | 0-2 | Thai League 2 |
| Jun 22, 2013 | Bbcu(away) | 0-0 | Thai League 2 |
What does the head-to-head say?
Across the last 3 meetings: 3 PTT Rayong wins, 0 draws, 0 Saraburi wins.
| Date | Score | Competition |
|---|---|---|
| Apr 17, 2013 | Saraburi 0-1 PTT Rayong | Thai League 2 |
| Aug 18, 2012 | Saraburi 1-3 PTT Rayong | Thai League 2 |
| May 30, 2012 | PTT Rayong 3-0 Saraburi | Thai League 2 |
Last archived meeting: Saraburi vs PTT Rayong on Apr 17, 2013
How many goals should we expect?
PTT Rayong score 1.4 and concede 0.6 goals per match over their last 15; Saraburi score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PTT Rayong | 1.4 | 0.6 | 8 | 7/15 | 6/15 |
| Saraburi | 1.5 | 1.0 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about PTT Rayong vs Saraburi?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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