GFA vs Mawyawadi: result 4-0 and analysis
National LeagueRegular Season - 16Kick-off on June 16, 2018 at 09:30 AM (UTC)Thuwanna YTC Stadium, Yangon
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What was the result of GFA vs Mawyawadi?
GFA won 4-0 on June 16, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, GFA have 2 wins, 5 draws and 8 defeats; Mawyawadi 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 |
|---|---|---|---|
| Jun 9, 2018 | Sagaing United(home) | 2-2 | National League |
| Jun 3, 2018 | Ayeyawady United(away) | 1-1 | National League |
| May 26, 2018 | Southern Myanmar(home) | 1-2 | National League |
| May 20, 2018 | Yangon United(home) | 0-4 | National League |
| May 2, 2018 | Shan United(home) | 1-1 | National League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 10, 2018 | Southern Myanmar(home) | 0-3 | National League |
| Jun 2, 2018 | Hantharwady United(away) | 0-9 | National League |
| May 20, 2018 | Yadanarbon(away) | 0-7 | National League |
| Apr 29, 2018 | Shan United(home) | 0-3 | National League |
| Apr 8, 2018 | Rakhine United(away) | 1-2 | National League |
What does the head-to-head say?
In the last meeting: 1 GFA win, 0 draws, 0 Mawyawadi wins.
| Date | Score | Competition |
|---|---|---|
| Jan 20, 2018 | Mawyawadi 0-3 GFA | National League |
How many goals should we expect?
GFA score 0.8 and concede 1.9 goals per match over their last 15; Mawyawadi score 0.4 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GFA | 0.8 | 1.9 | 2 | 7/15 | 8/15 |
| Mawyawadi | 0.4 | 3.1 | 1 | 5/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | GFA | 3 | 0 | 1 | 2 | 3 | 8 | 1 |
A question about GFA vs Mawyawadi?
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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