Abahani vs Bengaluru: result 2-0 and analysis
AFC Champions League TwoGroup Stage - 6Kick-off on May 3, 2017 at 12:10 PM (UTC)Comilla Stadium, Comilla
Full time
What was the result of Abahani vs Bengaluru?
Abahani won 2-0 on May 3, 2017.
Goalscorers
- 87′S. UddinAbahani
- 90′R. MiyaAbahani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Abahani have 10 wins, 2 draws and 3 defeats; Bengaluru have 3, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2017 | Bengaluru(away) | 0-2 | AFC Champions League Two |
| Apr 4, 2017 | Mohun Bagan(away) | 1-3 | AFC Champions League Two |
| Mar 14, 2017 | Maziya(home) | 0-2 | AFC Champions League Two |
| Dec 30, 2016 | Rahmatgonj MFS(away) | 3-1 | Premier League |
| Dec 26, 2016 | Baridhara(home) | 4-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2017 | Abahani(home) | 2-0 | AFC Champions League Two |
| Apr 4, 2017 | Maziya(away) | 1-0 | AFC Champions League Two |
| Mar 14, 2017 | Mohun Bagan(home) | 2-1 | AFC Champions League Two |
| Jan 31, 2017 | Al Wihdat(away) | 1-2 | AFC Champions League Elite |
What does the head-to-head say?
Across the last 1 meetings: 0 Abahani win(s), 0 draw(s), 1 Bengaluru win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 18, 2017 | Bengaluru 2-0 Abahani | AFC Champions League Two |
How many goals should we expect?
Abahani score 2.1 and concede 1.0 goals per match over their last 15; Bengaluru score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Abahani | 2.1 | 1.0 | 5 | 8/15 | 9/15 |
| Bengaluru | 1.5 | 0.8 | 2 | 2/4 | 2/4 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Abahani | 6 | 4 | 1 | 1 | 12 | 5 | 13 |
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