Double Flower vs Metro Gallery Sun Source: result 2-2 and analysis
HKFA 1st DivisionRegular Season - 5Kick-off on October 5, 2014 at 08:45 AM (UTC)Kwong Fuk Park Football Pitch, Tai Po
Full time
What was the result of Double Flower vs Metro Gallery Sun Source?
Double Flower and Metro Gallery Sun Source drew 2-2 on October 5, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Double Flower have 7 wins, 3 draws and 5 defeats; Metro Gallery Sun Source have 3, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2014 | Kwai Tsing(home) | 3-2 | HKFA 1st Division |
| Sep 21, 2014 | Sun Hei(home) | 4-0 | HKFA 1st Division |
| Sep 14, 2014 | Yau Tsim Mong(away) | 2-2 | HKFA 1st Division |
| Sep 7, 2014 | Southern District(home) | 1-2 | HKFA 1st Division |
| Apr 27, 2014 | Resources Capital(away) | 14-2 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2014 | Citizen AA(away) | 1-1 | HKFA 1st Division |
| Sep 21, 2014 | Tuen Mun SA(home) | 2-0 | HKFA 1st Division |
| Sep 14, 2014 | Resources Capital(away) | 5-0 | HKFA 1st Division |
| Sep 7, 2014 | Happy Valley(home) | 5-0 | HKFA 1st Division |
How many goals should we expect?
Double Flower score 2.9 and concede 1.7 goals per match over their last 15; Metro Gallery Sun Source score 3.3 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Double Flower | 2.9 | 1.7 | 2 | 13/15 | 13/15 |
| Metro Gallery Sun Source | 3.3 | 0.3 | 3 | 1/4 | 2/4 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Metro Gallery Sun Source | 13 | 11 | 1 | 1 | 56 | 14 | 34 |
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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