Chainat vs Kasetsart FC: result 3-1 and analysis
Thai League 2Regular Season - 17Kick-off on May 27, 2017 at 11:00 AM (UTC)Khao Plong Stadium, Chainat
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What was the result of Chainat vs Kasetsart FC?
Chainat won 3-1 on May 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chainat have 8 wins, 3 draws and 4 defeats; Kasetsart FC have 0, 8 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 6, 2017 | Nong Bua Pitchaya(away) | 0-3 | Thai League 2 |
| Apr 30, 2017 | Rayong FC(home) | 3-4 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2017 | Lampang FC(home) | 1-1 | Thai League 2 |
| May 17, 2017 | Air Force Central FC(away) | 2-6 | Thai League 2 |
| May 13, 2017 | Nong Bua Pitchaya(home) | 3-3 | Thai League 2 |
| May 7, 2017 | Rayong FC(away) | 1-3 | Thai League 2 |
| Apr 30, 2017 | Prachuap(home) | 1-1 | Thai League 2 |
How many goals should we expect?
Chainat score 1.9 and concede 1.5 goals per match over their last 15; Kasetsart FC score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chainat | 1.9 | 1.5 | 3 | 9/15 | 10/15 |
| Kasetsart FC | 1.3 | 2.3 | 0 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Chainat sit 6th in Thai League 2 (46 points from 34 matches) and Kasetsart FC sit 16th (38 points from 34 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Chainat | 34 | 12 | 10 | 12 | 50 | 46 | 46 |
| 16 | Kasetsart FC | 34 | 9 | 11 | 14 | 46 | 49 | 38 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy