South China vs Double Flower: result 2-3 and analysis
HKFA 1st DivisionRegular Season - 13Kick-off on November 25, 2017 at 12:30 PM (UTC)Happy Valley Recreation Ground #1, Hong Kong
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What was the result of South China vs Double Flower?
Double Flower won 2-3 on November 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, South China have 5 wins, 2 draws and 8 defeats; Double Flower have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | Hong Kong(home) | 0-0 | HKFA 1st Division |
| Nov 12, 2017 | Shatin(away) | 2-3 | HKFA 1st Division |
| Nov 4, 2017 | Eastern District(away) | 2-1 | HKFA 1st Division |
| Oct 28, 2017 | Mutual(home) | 1-2 | HKFA 1st Division |
| Oct 22, 2017 | Hoi King(away) | 0-1 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2017 | Shatin(home) | 1-1 | HKFA 1st Division |
| Nov 11, 2017 | Mutual(away) | 1-1 | HKFA 1st Division |
| Nov 5, 2017 | Citizen AA(home) | 2-1 | HKFA 1st Division |
| Oct 29, 2017 | Hoi King(home) | 3-1 | HKFA 1st Division |
| Oct 22, 2017 | Wing Yee(away) | 2-0 | HKFA 1st Division |
How many goals should we expect?
South China score 1.3 and concede 1.9 goals per match over their last 15; Double Flower score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| South China | 1.3 | 1.9 | 4 | 7/15 | 9/15 |
| Double Flower | 2.1 | 1.2 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | South China | 13 | 8 | 2 | 3 | 29 | 10 | 26 |
A question about South China 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