BG Pathum United vs Saraburi: result 1-0 and analysis
Thai League 1Regular Season - 14Kick-off on July 12, 2015 at 01:00 PM (UTC)BG Stadium, Pathum Thani
Full time
What was the result of BG Pathum United vs Saraburi?
BG Pathum United won 1-0 on July 12, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BG Pathum United have 10 wins, 3 draws and 2 defeats; Saraburi have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 4, 2015 | Police Tero(home) | 5-0 | Thai League 1 |
| Jun 27, 2015 | Super Power(away) | 0-1 | Thai League 1 |
| Jun 24, 2015 | Super Power(away) | 2-0 | FA Cup |
| Jun 20, 2015 | Nakhon Ratchasima FC(home) | 3-1 | Thai League 1 |
| May 10, 2015 | Chainat(away) | 1-1 | Thai League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 5, 2015 | Nakhon Ratchasima FC(home) | 2-0 | Thai League 1 |
| Jun 27, 2015 | Chainat(away) | 1-1 | Thai League 1 |
| Jun 20, 2015 | Super Power(home) | 0-0 | Thai League 1 |
| May 10, 2015 | Army United(away) | 2-4 | Thai League 1 |
| May 2, 2015 | TOT(home) | 1-1 | Thai League 1 |
How many goals should we expect?
BG Pathum United score 1.6 and concede 0.7 goals per match over their last 15; Saraburi score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BG Pathum United | 1.6 | 0.7 | 8 | 6/15 | 6/15 |
| Saraburi | 1.2 | 1.9 | 2 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | BG Pathum United | 5 | 1 | 3 | 1 | 7 | 7 | 6 |
A question about BG Pathum United vs Saraburi?
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