Lucky Mile vs Double Flower: result 0-5 and analysis
HKFA 1st DivisionRegular Season - 9Kick-off on November 10, 2013 at 05:30 AM (UTC)Hong Kong Football Club Stadium, Hong Kong
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What was the result of Lucky Mile vs Double Flower?
Double Flower won 0-5 on November 10, 2013.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Lucky Mile have 2 wins, 1 draw and 4 defeats; Double Flower have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2013 | Hong Kong FC(away) | 0-3 | HKFA 1st Division |
| Oct 27, 2013 | Wing Yee(home) | 1-0 | HKFA 1st Division |
| Oct 19, 2013 | Kwai Tsing(home) | 0-0 | HKFA 1st Division |
| Oct 13, 2013 | Wong Tai Sin(away) | 0-2 | HKFA 1st Division |
| Oct 6, 2013 | Kwun Tong(home) | 0-1 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2013 | Shatin(away) | 2-2 | HKFA 1st Division |
| Oct 27, 2013 | Kwun Tong(home) | 1-0 | HKFA 1st Division |
| Oct 20, 2013 | Resources Capital(home) | 2-3 | HKFA 1st Division |
| Oct 13, 2013 | Kwai Tsing(home) | 1-1 | HKFA 1st Division |
| Oct 6, 2013 | Wofoo Tai Po(away) | 1-2 | HKFA 1st Division |
How many goals should we expect?
Lucky Mile score 0.7 and concede 1.6 goals per match over their last 7; Double Flower score 1.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lucky Mile | 0.7 | 1.6 | 2 | 2/7 | 3/7 |
| Double Flower | 1.1 | 2.7 | 3 | 9/15 | 10/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Lucky Mile | 13 | 1 | 0 | 12 | 12 | 58 | 3 |
A question about Lucky Mile vs Double Flower?
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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