Bengaluru vs Paro: result 9-1 and analysis
AFC Champions League Two2nd Preliminary RoundKick-off on February 12, 2020 at 02:00 PM (UTC)Sree Kanteerava Stadium, Bangalore
Full time
What was the result of Bengaluru vs Paro?
Bengaluru won 9-1 on February 12, 2020.
Goalscorers
- 6′S. HaokipBengaluru
- 14′JuananBengaluru
- 16′C. GyeltshenParo
- 26′S. HaokipBengaluru
- 29′D. BrownBengaluru
- 54′D. BrownBengaluru
- 64′D. BrownBengaluru
- 66′S. HaokipBengaluru
- 79′NiliBengaluru
- 85′S. HaokipBengaluru
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bengaluru have 9 wins, 3 draws and 3 defeats; Paro have 0, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Chennaiyin(away) | 0-0 | Indian Super League |
| Feb 5, 2020 | Paro(away) | 1-0 | AFC Champions League Two |
| Jan 30, 2020 | Hyderabad(home) | 1-0 | Indian Super League |
| Jan 22, 2020 | Odisha(home) | 3-0 | Indian Super League |
| Jan 17, 2020 | Mumbai City(away) | 0-2 | Indian Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 5, 2020 | Bengaluru(home) | 0-1 | AFC Champions League Two |
| Jan 29, 2020 | Defenders(home) | 2-2 | AFC Champions League Two |
| Jan 22, 2020 | Defenders(away) | 3-3 | AFC Champions League Two |
What does the head-to-head say?
Across the last 1 meetings: 1 Bengaluru win(s), 0 draw(s), 0 Paro win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 5, 2020 | Paro 0-1 Bengaluru | AFC Champions League Two |
How many goals should we expect?
Bengaluru score 1.3 and concede 0.5 goals per match over their last 15; Paro score 1.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bengaluru | 1.3 | 0.5 | 10 | 3/15 | 4/15 |
| Paro | 1.7 | 2.0 | 0 | 2/3 | 2/3 |
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