Nong Bua Pitchaya vs Chainat: result 3-0 and analysis
Thai League 2Regular Season - 13Kick-off on May 6, 2017 at 11:00 AM (UTC)Pitchaya Stadium, Nong Bua Lam Phu
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What was the result of Nong Bua Pitchaya vs Chainat?
Nong Bua Pitchaya won 3-0 on May 6, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nong Bua Pitchaya have 3 wins, 7 draws and 5 defeats; Chainat have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2017 | Lampang FC(away) | 1-1 | Thai League 2 |
| Apr 18, 2017 | Air Force Central FC(home) | 1-1 | Thai League 2 |
| Apr 9, 2017 | PTT Rayong(home) | 1-3 | Thai League 2 |
| Apr 1, 2017 | Rayong FC(away) | 2-2 | Thai League 2 |
| Mar 25, 2017 | Prachuap(home) | 1-0 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2017 | Rayong FC(home) | 3-4 | Thai League 2 |
| Apr 19, 2017 | Prachuap(away) | 0-3 | Thai League 2 |
| Apr 8, 2017 | Krabi FC(home) | 4-1 | Thai League 2 |
| Apr 1, 2017 | Ang Thong FC(away) | 0-3 | Thai League 2 |
| Mar 26, 2017 | Nakhon Pathom(home) | 2-0 | Thai League 2 |
How many goals should we expect?
Nong Bua Pitchaya score 1.3 and concede 1.5 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 |
|---|---|---|---|---|---|
| Nong Bua Pitchaya | 1.3 | 1.5 | 2 | 10/15 | 6/15 |
| Chainat | 2.1 | 1.5 | 2 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Nong Bua Pitchaya sit 4th in Thai League 2 (54 points from 34 matches) and Chainat sit 6th (46 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Nong Bua Pitchaya | 34 | 16 | 6 | 12 | 59 | 59 | 54 |
| 6 | Chainat | 34 | 12 | 10 | 12 | 50 | 46 | 46 |
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