Double Flower vs Kwun Tong: result 3-2 and analysis
HKFA 1st DivisionRegular Season - 9Kick-off on November 13, 2011 at 05:30 AM (UTC)Po Kong Village Road Park 2, Hong Kong
Full time
What was the result of Double Flower vs Kwun Tong?
Double Flower won 3-2 on November 13, 2011.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Double Flower have 4 wins, 1 draw and 3 defeats; Kwun Tong have 1, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2011 | Wing Yee(home) | 6-1 | HKFA 1st Division |
| Oct 30, 2011 | Kwai Tsing(away) | 4-0 | HKFA 1st Division |
| Oct 16, 2011 | Shatin(away) | 1-2 | HKFA 1st Division |
| Oct 8, 2011 | Hong Kong FC(away) | 2-2 | HKFA 1st Division |
| Oct 2, 2011 | Rangers(away) | 3-4 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2011 | Resources Capital(home) | 4-1 | HKFA 1st Division |
| Oct 29, 2011 | Hong Kong FC(away) | 1-1 | HKFA 1st Division |
| Oct 23, 2011 | Wanchai(home) | 0-1 | HKFA 1st Division |
| Oct 16, 2011 | Wing Yee(away) | 0-1 | HKFA 1st Division |
| Oct 9, 2011 | Happy Valley(away) | 0-2 | HKFA 1st Division |
How many goals should we expect?
Double Flower score 3.0 and concede 1.6 goals per match over their last 8; Kwun Tong score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Double Flower | 3.0 | 1.6 | 3 | 5/8 | 7/8 |
| Kwun Tong | 0.9 | 1.4 | 0 | 3/7 | 2/7 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kwun Tong | 13 | 0 | 1 | 12 | 9 | 46 | 1 |
A question about Double Flower vs Kwun Tong?
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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