Trat FC vs Saraburi: result 2-1 and analysis
Thai League 2Matchday 13Kick-off on May 29, 2013 at 11:00 AM (UTC)Trat Provincial Central Stadium, Trat
Full time
What was the result of Trat FC vs Saraburi?
Trat FC won 2-1 on May 29, 2013.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Trat FC have 4 wins, 5 draws and 4 defeats; Saraburi have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | Phuket(home) | 3-3 | Thai League 2 |
| May 19, 2013 | Ayutthaya(away) | 2-2 | Thai League 2 |
| May 11, 2013 | Air Force Central FC(home) | 1-2 | Thai League 2 |
| May 4, 2013 | Nakhon Pathom(away) | 1-1 | Thai League 2 |
| Apr 27, 2013 | TTM Customs FC(home) | 3-2 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2013 | Ayutthaya(home) | 2-1 | Thai League 2 |
| May 18, 2013 | Air Force Central FC(away) | 1-2 | Thai League 2 |
| May 11, 2013 | Nakhon Pathom(home) | 1-1 | Thai League 2 |
| May 5, 2013 | TTM Customs FC(away) | 0-0 | Thai League 2 |
| Apr 28, 2013 | Bangkok(home) | 4-1 | Thai League 2 |
How many goals should we expect?
Trat FC score 1.7 and concede 1.7 goals per match over their last 13; Saraburi score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trat FC | 1.7 | 1.7 | 0 | 13/13 | 10/13 |
| Saraburi | 0.9 | 1.0 | 4 | 8/15 | 5/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Trat FC | 34 | 12 | 8 | 14 | 49 | 53 | 44 |
A question about Trat FC vs Saraburi?
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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