Global vs Boeung Ket: result 3-1 and analysis
AFC Champions League TwoGroup Stage - 6Kick-off on May 3, 2017 at 12:35 PM (UTC)Mckinley Hill Football Field, Taguig
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What was the result of Global vs Boeung Ket?
Global won 3-1 on May 3, 2017.
Goalscorers
- 12′Paul de la Cruz MuldersGlobal
- 28′H. MinegishiGlobal
- 50′Sath RosibBoeung Ket
- 90′Darryl Bevon RobertsGlobal
What is the recent form of both teams?
Over their last 7 matches in all competitions, Global have 5 wins, 0 draws and 2 defeats; Boeung Ket have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2017 | Magwe(away) | 4-2 | AFC Champions League Two |
| Apr 5, 2017 | Johor Darul Takzim FC(home) | 3-2 | AFC Champions League Two |
| Mar 14, 2017 | Johor Darul Takzim FC(away) | 0-4 | AFC Champions League Two |
| Mar 7, 2017 | Boeung Ket(away) | 2-0 | AFC Champions League Two |
| Feb 21, 2017 | Magwe(home) | 1-0 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Phnom Penh Crown(away) | 0-4 | C-League |
| Apr 22, 2017 | NagaWorld(away) | 2-1 | C-League |
| Apr 19, 2017 | Johor Darul Takzim FC(home) | 0-3 | AFC Champions League Two |
| Apr 8, 2017 | Electricite du Cambodge(home) | 4-0 | C-League |
| Apr 5, 2017 | Magwe(away) | 1-1 | AFC Champions League Two |
What does the head-to-head say?
Across the last 1 meetings: 1 Global win(s), 0 draw(s), 0 Boeung Ket win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2017 | Boeung Ket 0-2 Global | AFC Champions League Two |
How many goals should we expect?
Global score 1.7 and concede 2.0 goals per match over their last 7; Boeung Ket score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Global | 1.7 | 2.0 | 3 | 2/7 | 4/7 |
| Boeung Ket | 1.5 | 1.6 | 4 | 6/15 | 11/15 |
Over the last 7 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