Saraburi vs Phuket: result 2-2 and analysis
Thai League 2Regular Season - 34Kick-off on November 1, 2014 at 09:00 AM (UTC)Saraburi Stadium, Saraburi
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What was the result of Saraburi vs Phuket?
Saraburi and Phuket drew 2-2 on November 1, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saraburi have 8 wins, 5 draws and 2 defeats; Phuket have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2014 | Ang Thong FC(away) | 3-2 | Thai League 2 |
| Oct 18, 2014 | TTM Customs FC(home) | 1-0 | Thai League 2 |
| Oct 12, 2014 | Pattaya United(away) | 2-1 | Thai League 2 |
| Oct 4, 2014 | Ayutthaya(home) | 3-0 | Thai League 2 |
| Sep 6, 2014 | Roi Et(away) | 1-2 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2014 | Ayutthaya(home) | 2-1 | Thai League 2 |
| Oct 18, 2014 | Roi Et(away) | 2-1 | Thai League 2 |
| Oct 12, 2014 | Navy FC(home) | 1-0 | Thai League 2 |
| Oct 4, 2014 | Khonkaen(away) | 0-0 | Thai League 2 |
| Sep 6, 2014 | Trat FC(home) | 1-0 | Thai League 2 |
What does the head-to-head say?
Across the last 5 meetings: 4 Saraburi wins, 0 draws, 1 Phuket win.
| Date | Score | Competition |
|---|---|---|
| Jun 22, 2014 | Phuket 4-5 Saraburi | Thai League 2 |
| Oct 6, 2013 | Phuket 1-0 Saraburi | Thai League 2 |
| Jun 2, 2013 | Saraburi 1-0 Phuket | Thai League 2 |
| Sep 23, 2012 | Saraburi 5-1 Phuket | Thai League 2 |
| May 5, 2012 | Phuket 0-1 Saraburi | Thai League 2 |
How many goals should we expect?
Saraburi score 1.5 and concede 1.0 goals per match over their last 15; Phuket score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saraburi | 1.5 | 1.0 | 6 | 9/15 | 9/15 |
| Phuket | 0.9 | 0.9 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Saraburi vs Phuket?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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