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
Full time
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 5th in Thai League 2 (10 points from 6 matches) and Nakhon Pathom sit 13th (7 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Chainat | 6 | 3 | 1 | 2 | 8 | 7 | 10 |
| 13 | Nakhon Pathom | 6 | 1 | 4 | 1 | 4 | 6 | 7 |
A question about Chainat vs Nakhon Pathom?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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