Yadanarbon vs Southern Myanmar: result 1-1 and analysis
National LeagueRegular Season - 6Kick-off on April 9, 2011 at 09:30 AM (UTC)Bahtoo Memorial Stadium, Mandalay
Full time
What was the result of Yadanarbon vs Southern Myanmar?
Yadanarbon and Southern Myanmar drew 1-1 on April 9, 2011.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Yadanarbon have 0 wins, 3 draws and 2 defeats; Southern Myanmar have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2011 | Hantharwady United(away) | 1-1 | National League |
| Feb 5, 2011 | Magwe(home) | 2-2 | National League |
| Jan 29, 2011 | Shan United(away) | 0-1 | National League |
| Jan 22, 2011 | Yangon United(home) | 0-3 | National League |
| Jan 17, 2011 | Rakhapura United(away) | 1-1 | National League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2011 | Zwekapin United(home) | 2-0 | National League |
| Feb 5, 2011 | Nay Pyi Taw(away) | 1-1 | National League |
| Jan 31, 2011 | Manaw Myay(home) | 0-0 | National League |
| Jan 23, 2011 | Ayeyawady United(away) | 0-1 | National League |
| Jan 16, 2011 | Hantharwady United(home) | 1-2 | National League |
How many goals should we expect?
Yadanarbon score 0.8 and concede 1.6 goals per match over their last 5; Southern Myanmar score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yadanarbon | 0.8 | 1.6 | 0 | 3/5 | 2/5 |
| Southern Myanmar | 0.8 | 0.8 | 2 | 2/5 | 1/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Yadanarbon | 3 | 2 | 1 | 0 | 4 | 1 | 7 |
A question about Yadanarbon vs Southern Myanmar?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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