Nong Bua Pitchaya vs Prachuap: result 1-0 and analysis
Thai League 2Regular Season - 8Kick-off on March 25, 2017 at 12:00 PM (UTC)Pitchaya Stadium, Nong Bua Lam Phu
Full time
What was the result of Nong Bua Pitchaya vs Prachuap?
Nong Bua Pitchaya won 1-0 on March 25, 2017.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Nong Bua Pitchaya have 2 wins, 4 draws and 4 defeats; Prachuap have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Krabi FC(away) | 0-1 | Thai League 2 |
| Mar 12, 2017 | Ang Thong FC(home) | 1-1 | Thai League 2 |
| Mar 8, 2017 | Nakhon Pathom(away) | 0-0 | Thai League 2 |
| Mar 4, 2017 | Army United(home) | 3-1 | Thai League 2 |
| Feb 25, 2017 | Songkhla United(away) | 0-1 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Rayong FC(home) | 1-1 | Thai League 2 |
| Mar 11, 2017 | PTT Rayong(home) | 0-0 | Thai League 2 |
| Mar 8, 2017 | Krabi FC(away) | 3-1 | Thai League 2 |
| Mar 5, 2017 | Ang Thong FC(home) | 0-1 | Thai League 2 |
| Feb 25, 2017 | Nakhon Pathom(away) | 2-1 | 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 10; Prachuap score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nong Bua Pitchaya | 1.3 | 1.5 | 1 | 6/10 | 4/10 |
| Prachuap | 1.1 | 1.2 | 4 | 8/15 | 6/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Nong Bua Pitchaya | 9 | 5 | 2 | 2 | 24 | 12 | 17 |
A question about Nong Bua Pitchaya vs Prachuap?
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