South China vs Mutual: result 1-2 and analysis
HKFA 1st DivisionRegular Season - 9Kick-off on October 28, 2017 at 10:30 AM (UTC)Happy Valley Recreation Ground #1, Hong Kong
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What was the result of South China vs Mutual?
Mutual won 1-2 on October 28, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, South China have 7 wins, 1 draw and 7 defeats; Mutual have 5, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Hoi King(away) | 0-1 | HKFA 1st Division |
| Oct 14, 2017 | Wing Yee(home) | 2-2 | HKFA 1st Division |
| Oct 8, 2017 | Resources Capital(away) | 1-0 | HKFA 1st Division |
| Sep 30, 2017 | Rangers(home) | 0-2 | HKFA 1st Division |
| Sep 24, 2017 | Wong Tai Sin(away) | 2-6 | HKFA 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Shatin(home) | 1-2 | HKFA 1st Division |
| Oct 8, 2017 | Hoi King(away) | 1-1 | HKFA 1st Division |
| Oct 1, 2017 | Wong Tai Sin(away) | 6-3 | HKFA 1st Division |
| Sep 24, 2017 | Resources Capital(away) | 3-2 | HKFA 1st Division |
| Sep 17, 2017 | Wanchai(home) | 6-1 | HKFA 1st Division |
How many goals should we expect?
South China score 1.9 and concede 1.8 goals per match over their last 15; Mutual score 2.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| South China | 1.9 | 1.8 | 5 | 6/15 | 9/15 |
| Mutual | 2.7 | 1.3 | 2 | 5/7 | 4/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | South China | 13 | 8 | 2 | 3 | 29 | 10 | 26 |
A question about South China 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