Pattaya United vs Saraburi: result 1-2 and analysis
Thai League 2Matchday 31Kick-off on October 12, 2014 at 09:00 AM (UTC)Samut Prakarn SAT Stadium, Samut Prakan
Full time
What was the result of Pattaya United vs Saraburi?
Saraburi won 1-2 on October 12, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pattaya United have 5 wins, 4 draws and 6 defeats; Saraburi have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | Nakhon Ratchasima FC(away) | 0-1 | Thai League 2 |
| Sep 6, 2014 | Nakhon Pathom(home) | 1-1 | Thai League 2 |
| Aug 31, 2014 | Trat FC(away) | 0-1 | Thai League 2 |
| Aug 23, 2014 | Chiangmai FC(home) | 2-2 | Thai League 2 |
| Aug 17, 2014 | Khonkaen(away) | 0-1 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | Ayutthaya(home) | 3-0 | Thai League 2 |
| Sep 6, 2014 | Roi Et(away) | 1-2 | Thai League 2 |
| Aug 31, 2014 | Navy FC(away) | 1-3 | Thai League 2 |
| Aug 23, 2014 | Trat FC(home) | 2-2 | Thai League 2 |
| Aug 17, 2014 | Phitsanulok(away) | 0-0 | Thai League 2 |
What does the head-to-head say?
In the last meeting: 1 Pattaya United win, 0 draws, 0 Saraburi wins.
| Date | Score | Competition |
|---|---|---|
| May 31, 2014 | Saraburi 1-2 Pattaya United | Thai League 2 |
Last archived meeting: Saraburi vs Pattaya United on May 31, 2014
How many goals should we expect?
Pattaya United score 1.1 and concede 1.1 goals per match over their last 15; Saraburi score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pattaya United | 1.1 | 1.1 | 3 | 6/15 | 6/15 |
| Saraburi | 1.7 | 1.1 | 6 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Pattaya United vs Saraburi?
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