Chainat vs Nakhon Pathom: result 2-0 and analysis
Thai League 2Regular Season - 8Kick-off on March 26, 2017 at 01:00 PM (UTC)Khao Plong Stadium, Chainat
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What was the result of Chainat vs Nakhon Pathom?
Chainat won 2-0 on March 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chainat have 8 wins, 4 draws and 3 defeats; Nakhon Pathom have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Army United(home) | 1-1 | Thai League 2 |
| Mar 12, 2017 | Songkhla United(away) | 2-1 | Thai League 2 |
| Mar 8, 2017 | Bbcu(home) | 3-0 | Thai League 2 |
| Mar 5, 2017 | Bangkok(home) | 3-1 | Thai League 2 |
| Feb 26, 2017 | Trat FC(home) | 1-1 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Lampang FC(home) | 1-1 | Thai League 2 |
| Mar 11, 2017 | Air Force Central FC(away) | 2-2 | Thai League 2 |
| Mar 8, 2017 | Nong Bua Pitchaya(home) | 0-0 | Thai League 2 |
| Mar 5, 2017 | Rayong FC(away) | 1-0 | Thai League 2 |
| Feb 25, 2017 | Prachuap(home) | 1-2 | Thai League 2 |
How many goals should we expect?
Chainat score 2.3 and concede 1.7 goals per match over their last 15; Nakhon Pathom score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chainat | 2.3 | 1.7 | 1 | 14/15 | 12/15 |
| Nakhon Pathom | 0.8 | 0.8 | 5 | 7/15 | 3/15 |
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 Nakhon Pathom sit 15th (39 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 |
| 15 | Nakhon Pathom | 34 | 10 | 9 | 15 | 29 | 37 | 39 |
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