Phuket vs Bangkok: result 2-2 and analysis
Thai League 2Regular Season - 2Kick-off on March 10, 2013 at 11:30 AM (UTC)Surakul Stadium, Phuket
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What was the result of Phuket vs Bangkok?
Phuket and Bangkok drew 2-2 on March 10, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Phuket have 6 wins, 3 draws and 6 defeats; Bangkok have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2013 | Bbcu(away) | 1-1 | Thai League 2 |
| Oct 27, 2012 | Rangsit JW(home) | 5-0 | Thai League 2 |
| Oct 20, 2012 | Raj Pracha(away) | 4-1 | Thai League 2 |
| Oct 13, 2012 | Bangkok United(away) | 1-2 | Thai League 2 |
| Oct 10, 2012 | Khonkaen(home) | 5-2 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2013 | Nakhon Ratchasima FC(away) | 2-1 | Thai League 2 |
| Oct 27, 2012 | Krabi FC(home) | 2-1 | Thai League 2 |
| Oct 20, 2012 | Sriracha(home) | 2-1 | Thai League 2 |
| Oct 14, 2012 | Saraburi(home) | 3-3 | Thai League 2 |
| Oct 10, 2012 | Songkhla(away) | 3-3 | Thai League 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 Phuket wins, 0 draws, 0 Bangkok wins.
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2012 | Bangkok 0-1 Phuket | Thai League 2 |
| Jun 17, 2012 | Phuket 2-1 Bangkok | Thai League 2 |
How many goals should we expect?
Phuket score 1.5 and concede 1.3 goals per match over their last 15; Bangkok score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Phuket | 1.5 | 1.3 | 4 | 7/15 | 6/15 |
| Bangkok | 1.8 | 1.7 | 1 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Bangkok | 34 | 9 | 8 | 17 | 40 | 56 | 35 |
A question about Phuket vs Bangkok?
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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