Mutual vs Rangers: result 0-3 and analysis
HKFA 1st DivisionRegular Season - 17Kick-off on February 24, 2019 at 07:30 AM (UTC)Kwong Fuk Park Football Pitch, Tai Po
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What was the result of Mutual vs Rangers?
Rangers won 0-3 on February 24, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mutual have 2 wins, 4 draws and 9 defeats; Rangers have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2019 | Happy Valley(away) | 0-9 | HKFA 1st Division |
| Feb 10, 2019 | Rangers(home) | 0-7 | HKFA 1st Division |
| Feb 3, 2019 | Double Flower(home) | 1-3 | HKFA 1st Division |
| Jan 6, 2019 | Happy Valley(home) | 0-7 | HKFA 1st Division |
| Dec 9, 2018 | Wing Yee(home) | 0-0 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2019 | Shatin(away) | 2-1 | HKFA 1st Division |
| Feb 17, 2019 | Citizen AA(away) | 2-3 | HKFA 1st Division |
| Feb 17, 2019 | South China(home) | 1-1 | HKFA 1st Division |
| Feb 10, 2019 | Mutual(away) | 7-0 | HKFA 1st Division |
| Feb 10, 2019 | Happy Valley(home) | 0-10 | HKFA 1st Division |
What does the head-to-head say?
Across the last 5 meetings: 3 Mutual win(s), 0 draw(s), 2 Rangers win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 10, 2019 | Mutual 0-7 Rangers | HKFA 1st Division |
| Sep 23, 2018 | Rangers 2-3 Mutual | HKFA 1st Division |
| Sep 9, 2018 | Rangers 5-1 Mutual | HKFA 1st Division |
| Apr 22, 2018 | Mutual 4-1 Rangers | HKFA 1st Division |
| Nov 5, 2017 | Rangers 2-5 Mutual | HKFA 1st Division |
How many goals should we expect?
Mutual score 0.9 and concede 3.1 goals per match over their last 15; Rangers score 1.5 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mutual | 0.9 | 3.1 | 1 | 8/15 | 9/15 |
| Rangers | 1.5 | 2.8 | 4 | 6/15 | 8/15 |
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