Resources Capital vs Hong Kong: result 1-4 and analysis
HKFA 1st DivisionRegular Season - 1Kick-off on September 3, 2017 at 05:30 AM (UTC)Tsing Yi Sports Ground, Tsing Yi
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What was the result of Resources Capital vs Hong Kong?
Hong Kong won 1-4 on September 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Resources Capital have 4 wins, 1 draw and 10 defeats; Hong Kong have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Wing Yee(away) | 1-4 | HKFA 1st Division |
| May 6, 2017 | Double Flower(away) | 1-4 | HKFA 1st Division |
| Apr 30, 2017 | Wanchai(home) | 1-5 | HKFA 1st Division |
| Apr 23, 2017 | Kwai Tsing(home) | 5-3 | HKFA 1st Division |
| Apr 16, 2017 | Shatin(away) | 1-3 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2017 | Mação(home) | 4-0 | Friendlies |
| Aug 31, 2017 | Singapore(away) | 1-1 | Friendlies |
| Jun 13, 2017 | North Korea(home) | 1-1 | Asian Cup - Qualification |
| Jun 7, 2017 | Jordan(home) | 0-0 | Friendlies |
| Apr 22, 2017 | Pegasus(away) | 0-5 | Premier League |
How many goals should we expect?
Resources Capital score 1.3 and concede 3.0 goals per match over their last 15; Hong Kong score 0.9 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Resources Capital | 1.3 | 3.0 | 3 | 8/15 | 11/15 |
| Hong Kong | 0.9 | 3.3 | 2 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Resources Capital | 13 | 6 | 2 | 5 | 31 | 23 | 20 |
A question about Resources Capital vs Hong Kong?
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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