Rangers vs Happy Valley: prediction and stats
Premier LeagueRegular Season - 11Kick-off on January 25, 2014 at 12:00 AM (UTC)Sham Shui Po Sports Ground, Kowloon
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rangers have 3 wins, 6 draws and 6 defeats; Happy Valley have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 24, 2014 | Yuen Long(home) | 2-1 | Premier League |
| Jan 11, 2014 | Kitchee(away) | 1-4 | Premier League |
| Dec 22, 2013 | Tuen Mun SA(away) | 2-1 | Premier League |
| Dec 15, 2013 | Citizen AA(away) | 1-0 | Premier League |
| Dec 14, 2013 | Southern District(away) | 2-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2014 | Sun Hei(away) | 0-5 | Premier League |
| Dec 21, 2013 | Kitchee(home) | 1-5 | Premier League |
| Nov 30, 2013 | Southern District(home) | 2-4 | Premier League |
| Nov 3, 2013 | Eastern(away) | 0-2 | Premier League |
| Oct 26, 2013 | Citizen AA(away) | 2-3 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 2 Rangers wins, 0 draws, 0 Happy Valley wins.
| Date | Score | Competition |
|---|---|---|
| Feb 5, 2012 | Happy Valley 2-3 Rangers | HKFA 1st Division |
| Oct 30, 2011 | Rangers 1-0 Happy Valley | HKFA 1st Division |
Last archived meeting: Happy Valley vs Rangers on Feb 5, 2012
How many goals should we expect?
Rangers score 1.1 and concede 1.5 goals per match over their last 15; Happy Valley score 1.9 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rangers | 1.1 | 1.5 | 2 | 11/15 | 7/15 |
| Happy Valley | 1.9 | 2.4 | 4 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Rangers vs Happy Valley?
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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