Resources Capital vs Yau Tsim Mong: result 0-2 and analysis
HKFA 1st DivisionRegular Season - 14Kick-off on December 7, 2014 at 07:30 AM (UTC)Ma On Shan Recreation Ground, Hong Kong
Full time
What was the result of Resources Capital vs Yau Tsim Mong?
Yau Tsim Mong won 0-2 on December 7, 2014.
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; Yau Tsim Mong have 7, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2014 | Southern District(home) | 0-4 | HKFA 1st Division |
| Nov 22, 2014 | Lucky Mile(away) | 0-0 | HKFA 1st Division |
| Nov 16, 2014 | Hong Kong FC(away) | 1-7 | HKFA 1st Division |
| Nov 9, 2014 | Double Flower(home) | 2-1 | HKFA 1st Division |
| Nov 2, 2014 | Tuen Mun SA(home) | 1-3 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2014 | Happy Valley(home) | 3-0 | HKFA 1st Division |
| Nov 23, 2014 | Wanchai(away) | 7-0 | HKFA 1st Division |
| Nov 16, 2014 | Kwun Tong(home) | 0-0 | HKFA 1st Division |
| Nov 9, 2014 | Shatin(home) | 2-3 | HKFA 1st Division |
| Nov 2, 2014 | Kwai Tsing(home) | 1-0 | HKFA 1st Division |
How many goals should we expect?
Resources Capital score 0.9 and concede 3.6 goals per match over their last 15; Yau Tsim Mong score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Resources Capital | 0.9 | 3.6 | 3 | 7/15 | 10/15 |
| Yau Tsim Mong | 2.3 | 1.3 | 4 | 8/12 | 9/12 |
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 Yau Tsim Mong?
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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