Trat FC vs Chainat: result 0-2 and analysis
Thai League 2Regular Season - 19Kick-off on June 17, 2017 at 12:00 PM (UTC)Trat Provincial Central Stadium, Trat
Full time
What was the result of Trat FC vs Chainat?
Chainat won 0-2 on June 17, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trat FC have 4 wins, 5 draws and 6 defeats; Chainat have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2017 | Lampang FC(away) | 1-1 | Thai League 2 |
| May 28, 2017 | Nong Bua Pitchaya(away) | 0-0 | Thai League 2 |
| May 20, 2017 | Rayong FC(home) | 4-1 | Thai League 2 |
| May 17, 2017 | Prachuap(home) | 1-2 | Thai League 2 |
| May 14, 2017 | Krabi FC(away) | 1-2 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2017 | Samut Songkhram(home) | 2-1 | Thai League 2 |
| May 27, 2017 | Kasetsart FC(home) | 3-1 | Thai League 2 |
| May 21, 2017 | PTT Rayong(home) | 4-2 | Thai League 2 |
| May 17, 2017 | Lampang FC(away) | 1-0 | Thai League 2 |
| May 13, 2017 | Air Force Central FC(home) | 3-1 | Thai League 2 |
What does the head-to-head say?
In the last meeting: 0 Trat FC wins, 1 draw, 0 Chainat wins.
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2017 | Chainat 1-1 Trat FC | Thai League 2 |
How many goals should we expect?
Trat FC score 1.9 and concede 1.7 goals per match over their last 15; Chainat score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trat FC | 1.9 | 1.7 | 2 | 12/15 | 10/15 |
| Chainat | 2.1 | 1.5 | 3 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Chainat | 10 | 4 | 3 | 3 | 17 | 18 | 15 |
A question about Trat FC vs Chainat?
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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