Southern District vs Lucky Mile: result 4-3 and analysis
HKFA 1st DivisionRegular Season - 3Kick-off on September 21, 2014 at 07:30 AM (UTC)Happy Valley Recreation Ground #6, Hong Kong
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What was the result of Southern District vs Lucky Mile?
Southern District won 4-3 on September 21, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Southern District have 5 wins, 5 draws and 5 defeats; Lucky Mile have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2014 | Hong Kong FC(home) | 0-1 | HKFA 1st Division |
| Sep 7, 2014 | Double Flower(away) | 2-1 | HKFA 1st Division |
| May 11, 2014 | Sun Hei(away) | 3-2 | Premier League |
| May 4, 2014 | Rangers(away) | 1-1 | Premier League |
| Apr 19, 2014 | Citizen AA(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2014 | Hong Kong FC(home) | 0-5 | HKFA 1st Division |
| Apr 27, 2014 | Kwai Tsing(away) | 3-5 | HKFA 1st Division |
| Apr 13, 2014 | Wofoo Tai Po(home) | 1-7 | HKFA 1st Division |
| Apr 5, 2014 | Shatin(home) | 0-4 | HKFA 1st Division |
| Mar 23, 2014 | Wing Yee(away) | 1-0 | HKFA 1st Division |
How many goals should we expect?
Southern District score 1.6 and concede 1.9 goals per match over their last 15; Lucky Mile score 1.1 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Southern District | 1.6 | 1.9 | 0 | 13/15 | 11/15 |
| Lucky Mile | 1.1 | 3.1 | 2 | 7/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Lucky Mile | 13 | 1 | 0 | 12 | 12 | 58 | 3 |
A question about Southern District vs Lucky Mile?
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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