Hong Kong vs Mutual: result 3-0 and analysis
HKFA 1st DivisionRegular Season - 22Kick-off on April 13, 2019 at 12:30 PM (UTC)Hong Kong Football Club Stadium, Hong Kong
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What was the result of Hong Kong vs Mutual?
Hong Kong won 3-0 on April 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hong Kong have 12 wins, 2 draws and 1 defeat; Mutual have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2019 | Happy Valley(away) | 2-1 | HKFA 1st Division |
| Mar 16, 2019 | Wong Tai Sin(home) | 6-0 | HKFA 1st Division |
| Mar 9, 2019 | Rangers(home) | 0-0 | HKFA 1st Division |
| Mar 3, 2019 | Eastern District(away) | 3-1 | HKFA 1st Division |
| Feb 24, 2019 | Resources Capital(away) | 1-0 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2019 | South China(home) | 1-5 | HKFA 1st Division |
| Mar 31, 2019 | Wong Tai Sin(home) | 1-2 | HKFA 1st Division |
| Mar 17, 2019 | Citizen AA(away) | 0-1 | HKFA 1st Division |
| Mar 10, 2019 | Shatin(away) | 0-1 | HKFA 1st Division |
| Feb 24, 2019 | Rangers(home) | 0-3 | HKFA 1st Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Hong Kong wins, 1 draw, 0 Mutual wins.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2018 | Mutual 0-5 Hong Kong | HKFA 1st Division |
| Apr 28, 2018 | Hong Kong 3-0 Mutual | HKFA 1st Division |
| Jan 21, 2018 | Mutual 1-1 Hong Kong | HKFA 1st Division |
How many goals should we expect?
Hong Kong score 3.3 and concede 0.7 goals per match over their last 15; Mutual score 0.6 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hong Kong | 3.3 | 0.7 | 7 | 7/15 | 12/15 |
| Mutual | 0.6 | 3.5 | 1 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Hong Kong vs Mutual?
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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