Rangers vs Double Flower: result 3-1 and analysis
HKFA 1st DivisionRegular Season - 20Kick-off on April 9, 2017 at 05:30 AM (UTC)Tuen Mun Tang Shiu Kin Sports Ground, Tuen Mun
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What was the result of Rangers vs Double Flower?
Rangers won 3-1 on April 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rangers have 2 wins, 5 draws and 8 defeats; Double Flower have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Eastern(home) | 3-3 | Premier League |
| Apr 4, 2017 | Southern District(away) | 3-3 | Premier League |
| Apr 2, 2017 | Wing Yee(home) | 3-3 | HKFA 1st Division |
| Mar 26, 2017 | Tung Sing(away) | 1-3 | HKFA 1st Division |
| Mar 19, 2017 | Kitchee(away) | 1-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Shatin(home) | 2-4 | HKFA 1st Division |
| Mar 26, 2017 | Wanchai(home) | 3-2 | HKFA 1st Division |
| Mar 12, 2017 | Wing Yee(home) | 3-1 | HKFA 1st Division |
| Mar 4, 2017 | Sun Hei(home) | 1-3 | HKFA 1st Division |
| Feb 26, 2017 | Tung Sing(away) | 3-4 | HKFA 1st Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Rangers win(s), 0 draw(s), 1 Double Flower win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 11, 2016 | Double Flower 1-0 Rangers | HKFA 1st Division |
| Feb 26, 2012 | Double Flower 0-1 Rangers | HKFA 1st Division |
| Oct 2, 2011 | Rangers 4-3 Double Flower | HKFA 1st Division |
Last archived meeting: Double Flower vs Rangers on Dec 11, 2016
How many goals should we expect?
Rangers score 1.5 and concede 2.6 goals per match over their last 15; Double Flower score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rangers | 1.5 | 2.6 | 1 | 11/15 | 10/15 |
| Double Flower | 2.0 | 1.5 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy