Double Flower vs Sham Shui Po: result 1-1 and analysis
HKFA 1st DivisionRegular Season - 3Kick-off on September 23, 2012 at 05:30 AM (UTC)Po Kong Village Road Park 1, Hong Kong
Full time
What was the result of Double Flower vs Sham Shui Po?
Double Flower and Sham Shui Po drew 1-1 on September 23, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Double Flower have 9 wins, 2 draws and 4 defeats; Sham Shui Po have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2012 | Tuen Mun FC(home) | 2-1 | HKFA 1st Division |
| Apr 8, 2012 | Kwun Tong(away) | 1-0 | HKFA 1st Division |
| Apr 1, 2012 | Yuen Long(away) | 3-0 | HKFA 1st Division |
| Mar 18, 2012 | Wanchai(away) | 4-1 | HKFA 1st Division |
| Mar 11, 2012 | Wing Yee(away) | 7-2 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2012 | Resources Capital(home) | 1-4 | HKFA 1st Division |
| Sep 9, 2012 | Hong Kong FC(away) | 0-6 | HKFA 1st Division |
| May 19, 2012 | BCGS Hong Kong Sapling(home) | 1-2 | Premier League |
| May 6, 2012 | Sun Hei(home) | 0-1 | Premier League |
| Apr 21, 2012 | Rangers(home) | 2-1 | Premier League |
How many goals should we expect?
Double Flower score 2.5 and concede 1.5 goals per match over their last 15; Sham Shui Po score 0.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Double Flower | 2.5 | 1.5 | 2 | 11/15 | 11/15 |
| Sham Shui Po | 0.5 | 1.9 | 1 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Sham Shui Po | 13 | 7 | 1 | 5 | 20 | 23 | 22 |
A question about Double Flower vs Sham Shui Po?
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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