Magwe vs Global: result 2-4 and analysis
AFC Champions League TwoGroup Stage - 5Kick-off on April 19, 2017 at 09:00 AM (UTC)Thuwanna YTC Stadium, Yangon
Full time
What was the result of Magwe vs Global?
Global won 2-4 on April 19, 2017.
Goalscorers
- 38′Naing Naing KyawMagwe
- 71′H. MinegishiGlobal
- 81′Darryl Bevon RobertsGlobal
- 83′Darryl Bevon RobertsGlobal
- 89′S. SasakiGlobal
- 90′Lin Tun NaingMagwe
What is the recent form of both teams?
Over their last 15 matches in all competitions, Magwe have 3 wins, 6 draws and 6 defeats; Global have 4, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | GFA(home) | 1-2 | National League |
| Apr 5, 2017 | Boeung Ket(home) | 1-1 | AFC Champions League Two |
| Apr 1, 2017 | Zwekapin United(home) | 4-0 | National League |
| Mar 20, 2017 | Southern Myanmar(away) | 0-0 | National League |
| Mar 14, 2017 | Boeung Ket(away) | 0-1 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jan 31, 2017 | Brisbane Roar(away) | 0-6 | AFC Champions League Elite |
What does the head-to-head say?
Across the last 1 meetings: 0 Magwe win(s), 0 draw(s), 1 Global win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 21, 2017 | Global 1-0 Magwe | AFC Champions League Two |
How many goals should we expect?
Magwe score 0.7 and concede 1.1 goals per match over their last 15; Global score 1.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Magwe | 0.7 | 1.1 | 5 | 5/15 | 3/15 |
| Global | 1.3 | 2.0 | 3 | 1/6 | 3/6 |
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