India vs Nepal: result 2-0 and analysis
FriendliesFriendlies 2Kick-off on June 6, 2017 at 01:30 PM (UTC)Jawaharlal Nehru Stadium, Shillong, Meghalaya
Full time
What was the result of India vs Nepal?
India won 2-0 on June 6, 2017.
Goalscorers
- 60′S. JhinganIndia
- 78′J. LalpekhluaIndia
What is the recent form of both teams?
Over their last 15 matches in all competitions, India have 9 wins, 0 draws and 6 defeats; Nepal have 3, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2017 | Myanmar(away) | 1-0 | Asian Cup - Qualification |
| Mar 22, 2017 | Cambodia(away) | 3-2 | Friendlies |
| Jun 7, 2016 | Laos(home) | 6-1 | Asian Cup - Qualification |
| Jun 2, 2016 | Laos(away) | 1-0 | Asian Cup - Qualification |
| Mar 29, 2016 | Turkmenistan(home) | 1-2 | World Cup - Qualification Asia |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2017 | Philippines(away) | 1-4 | Asian Cup - Qualification |
| Dec 27, 2015 | India(away) | 1-4 | SAFF Championship |
| Dec 23, 2015 | Sri Lanka(home) | 0-1 | SAFF Championship |
| Mar 17, 2015 | India(home) | 0-0 | World Cup - Qualification Asia |
| Mar 12, 2015 | India(away) | 0-2 | World Cup - Qualification Asia |
What does the head-to-head say?
Across the last 4 meetings: 2 India win(s), 1 draw(s), 1 Nepal win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 27, 2015 | India 4-1 Nepal | SAFF Championship |
| Mar 17, 2015 | Nepal 0-0 India | World Cup - Qualification Asia |
| Mar 12, 2015 | India 2-0 Nepal | World Cup - Qualification Asia |
| Sep 5, 2013 | India 1-2 Nepal | SAFF Championship |
How many goals should we expect?
India score 1.7 and concede 1.5 goals per match over their last 15; Nepal score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| India | 1.7 | 1.5 | 4 | 8/15 | 11/15 |
| Nepal | 1.1 | 1.3 | 4 | 4/12 | 4/12 |
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