Phuket vs Saraburi: result 1-0 and analysis
Thai League 2Regular Season - 31Kick-off on October 6, 2013 at 11:30 AM (UTC)Surakul Stadium, Phuket
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What was the result of Phuket vs Saraburi?
Phuket won 1-0 on October 6, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Phuket have 1 win, 8 draws and 6 defeats; Saraburi 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 |
|---|---|---|---|
| Sep 28, 2013 | Krabi FC(away) | 1-3 | Thai League 2 |
| Sep 21, 2013 | Trat FC(home) | 0-0 | Thai League 2 |
| Sep 14, 2013 | Rayong FC(away) | 0-1 | Thai League 2 |
| Sep 7, 2013 | Sriracha(away) | 1-5 | Thai League 2 |
| Aug 31, 2013 | Ayutthaya(home) | 2-2 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2013 | Trat FC(home) | 1-3 | Thai League 2 |
| Sep 21, 2013 | Ayutthaya(away) | 3-3 | Thai League 2 |
| Sep 14, 2013 | Air Force Central FC(home) | 2-1 | Thai League 2 |
| Sep 7, 2013 | Port FC(away) | 0-2 | Thai League 2 |
| Aug 31, 2013 | Nakhon Pathom(away) | 2-2 | Thai League 2 |
What does the head-to-head say?
Across the last 3 meetings: 0 Phuket wins, 0 draws, 3 Saraburi wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Phuket score 0.9 and concede 1.7 goals per match over their last 15; Saraburi score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Phuket | 0.9 | 1.7 | 3 | 9/15 | 6/15 |
| Saraburi | 1.5 | 1.5 | 4 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Phuket vs Saraburi?
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