Bangladesh vs Nepal: result 2-0 and analysis
FriendliesFriendlies 3Kick-off on November 13, 2020 at 11:00 AM (UTC)Bangabandhu National Stadium, Dhaka
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What was the result of Bangladesh vs Nepal?
Bangladesh won 2-0 on November 13, 2020.
Goalscorers
- 10′S. KhanBangladesh
- 80′?Bangladesh
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bangladesh have 5 wins, 4 draws and 6 defeats; Nepal have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 14, 2019 | Oman(away) | 1-4 | World Cup - Qualification Asia |
| Oct 15, 2019 | India(away) | 1-1 | World Cup - Qualification Asia |
| Oct 10, 2019 | Qatar(home) | 0-2 | World Cup - Qualification Asia |
| Oct 3, 2019 | Bhutan(home) | 2-0 | Friendlies |
| Sep 10, 2019 | Afghanistan(away) | 0-1 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2019 | Kuwait(home) | 0-1 | World Cup - Qualification Asia |
| Nov 7, 2019 | Myanmar(away) | 0-3 | Friendlies |
| Oct 15, 2019 | Jordan(away) | 0-3 | World Cup - Qualification Asia |
| Oct 10, 2019 | Australia(away) | 0-5 | World Cup - Qualification Asia |
| Sep 10, 2019 | Chinese Taipei(away) | 2-0 | World Cup - Qualification Asia |
What does the head-to-head say?
Across the last 3 meetings: 1 Bangladesh win(s), 0 draw(s), 2 Nepal win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2018 | Bangladesh 0-2 Nepal | SAFF Championship |
| Aug 31, 2013 | Nepal 2-0 Bangladesh | SAFF Championship |
| Mar 4, 2013 | Bangladesh 2-0 Nepal | AFC Challenge Cup |
How many goals should we expect?
Bangladesh score 0.8 and concede 1.1 goals per match over their last 15; Nepal score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bangladesh | 0.8 | 1.1 | 7 | 4/15 | 3/15 |
| Nepal | 0.7 | 1.9 | 5 | 3/15 | 8/15 |
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