Double Flower vs Mutual: result 1-1 and analysis
HKFA 1st DivisionRegular Season - 4Kick-off on September 30, 2018 at 07:30 AM (UTC)Po Kong Village Road Park 2, Hong Kong
Full time
What was the result of Double Flower vs Mutual?
Double Flower and Mutual drew 1-1 on September 30, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Double Flower have 6 wins, 0 draws and 9 defeats; Mutual have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2018 | Happy Valley(away) | 2-6 | HKFA 1st Division |
| May 20, 2018 | South China(home) | 0-4 | HKFA 1st Division |
| May 13, 2018 | Wanchai(home) | 4-0 | HKFA 1st Division |
| May 6, 2018 | Shatin(away) | 3-1 | HKFA 1st Division |
| Apr 29, 2018 | Resources Capital(away) | 2-4 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2018 | Rangers(away) | 3-2 | HKFA 1st Division |
| Sep 9, 2018 | Rangers(away) | 1-5 | HKFA 1st Division |
| May 20, 2018 | Citizen AA(away) | 3-1 | HKFA 1st Division |
| May 13, 2018 | Hoi King(home) | 1-2 | HKFA 1st Division |
| May 6, 2018 | Kwun Tong(home) | 1-1 | HKFA 1st Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Double Flower win(s), 1 draw(s), 1 Mutual win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 18, 2018 | Double Flower 2-3 Mutual | HKFA 1st Division |
| Nov 11, 2017 | Mutual 1-1 Double Flower | HKFA 1st Division |
Last archived meeting: Double Flower vs Mutual on Mar 18, 2018
How many goals should we expect?
Double Flower score 2.5 and concede 2.7 goals per match over their last 15; Mutual score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Double Flower | 2.5 | 2.7 | 3 | 10/15 | 15/15 |
| Mutual | 1.9 | 1.7 | 2 | 11/15 | 12/15 |
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