Southern Myanmar vs Horizon: result 3-1 and analysis
National LeagueRegular Season - 13Kick-off on June 12, 2016 at 09:00 AM (UTC)Thuwanna YTC Stadium, Yangon
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What was the result of Southern Myanmar vs Horizon?
Southern Myanmar won 3-1 on June 12, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Southern Myanmar have 2 wins, 5 draws and 8 defeats; Horizon have 1, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2016 | Rakhine United(home) | 3-0 | National League |
| Apr 3, 2016 | Horizon(away) | 0-0 | National League |
| Mar 12, 2016 | Chin United(home) | 0-3 | National League |
| Mar 3, 2016 | Ayeyawady United(away) | 1-1 | National League |
| Feb 27, 2016 | Yangon United(home) | 0-4 | National League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2016 | Zeyar Shwe Myay(away) | 2-3 | National League |
| Apr 3, 2016 | Southern Myanmar(home) | 0-0 | National League |
| Mar 12, 2016 | Rakhine United(away) | 0-3 | National League |
| Mar 4, 2016 | Shan United(away) | 0-5 | National League |
| Feb 26, 2016 | Chin United(home) | 0-1 | National League |
What does the head-to-head say?
In the last meeting: 0 Southern Myanmar wins, 1 draw, 0 Horizon wins.
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2016 | Horizon 0-0 Southern Myanmar | National League |
Last archived meeting: Horizon vs Southern Myanmar on Apr 3, 2016
How many goals should we expect?
Southern Myanmar score 0.7 and concede 2.3 goals per match over their last 15; Horizon score 0.7 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Southern Myanmar | 0.7 | 2.3 | 3 | 5/15 | 10/15 |
| Horizon | 0.7 | 2.5 | 1 | 5/12 | 8/12 |
Over the last 15 matches in all competitions.
A question about Southern Myanmar vs Horizon?
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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