Pattaya United vs PTT Rayong: result 0-1 and analysis
FA Cup2nd RoundKick-off on August 2, 2017 at 12:00 PM (UTC)Samut Prakarn SAT Stadium, Samut Prakan
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What was the result of Pattaya United vs PTT Rayong?
PTT Rayong won 0-1 on August 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pattaya United have 7 wins, 2 draws and 6 defeats; PTT Rayong have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2017 | Ratchaburi(home) | 3-0 | Thai League 1 |
| Jul 9, 2017 | Sisaket(away) | 2-0 | Thai League 1 |
| Jul 5, 2017 | Super Power(home) | 9-2 | Thai League 1 |
| Jul 2, 2017 | Muangthong United(away) | 0-0 | Thai League 1 |
| Jun 28, 2017 | Nakhon Ratchasima FC(home) | 3-1 | Thai League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2017 | Rayong FC(home) | 1-4 | Thai League 2 |
| Jul 8, 2017 | Trat FC(away) | 0-0 | Thai League 2 |
| Jul 5, 2017 | Prachuap(home) | 1-3 | Thai League 2 |
| Jul 1, 2017 | Samut Songkhram(away) | 0-1 | Thai League 2 |
| Jun 25, 2017 | Krabi FC(home) | 3-2 | Thai League 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Pattaya United win, 1 draw, 0 PTT Rayong wins.
| Date | Score | Competition |
|---|---|---|
| Jul 26, 2015 | PTT Rayong 2-2 Pattaya United | Thai League 2 |
| Feb 21, 2015 | Pattaya United 2-0 PTT Rayong | Thai League 2 |
Last archived meeting: PTT Rayong vs Pattaya United on Jul 26, 2015
How many goals should we expect?
Pattaya United score 1.9 and concede 1.3 goals per match over their last 15; PTT Rayong score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pattaya United | 1.9 | 1.3 | 5 | 6/15 | 7/15 |
| PTT Rayong | 1.6 | 1.5 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Pattaya United vs PTT Rayong?
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