Bengaluru vs ATK: result 1-0 and analysis
Indian Super LeagueRegular Season - 12Kick-off on December 13, 2018 at 02:00 PM (UTC)Sree Kanteerava Stadium, Bangalore
Full time
What was the result of Bengaluru vs ATK?
Bengaluru won 1-0 on December 13, 2018.
Goalscorers
- 37′E. PaartaluBengaluru
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; ATK have 5, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2018 | Mumbai City(home) | 1-1 | Indian Super League |
| Dec 5, 2018 | NorthEast United(away) | 1-1 | Indian Super League |
| Nov 30, 2018 | Pune City(home) | 2-1 | Indian Super League |
| Nov 26, 2018 | Delhi Dynamos(home) | 1-0 | Indian Super League |
| Nov 22, 2018 | Goa(away) | 2-1 | Indian Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2018 | NorthEast United(away) | 0-0 | Indian Super League |
| Dec 2, 2018 | Chennaiyin(away) | 3-2 | Indian Super League |
| Nov 28, 2018 | Goa(home) | 0-0 | Indian Super League |
| Nov 24, 2018 | Mumbai City(away) | 0-0 | Indian Super League |
| Nov 10, 2018 | Pune City(home) | 1-0 | Indian Super League |
What does the head-to-head say?
Across the last 1 meetings: 1 Bengaluru win(s), 0 draw(s), 0 ATK win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 31, 2018 | ATK 1-2 Bengaluru | Indian Super League |
How many goals should we expect?
Bengaluru score 1.9 and concede 1.0 goals per match over their last 15; ATK score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bengaluru | 1.9 | 1.0 | 5 | 8/15 | 9/15 |
| ATK | 1.2 | 1.1 | 4 | 7/13 | 6/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bengaluru | 13 | 6 | 5 | 2 | 18 | 12 | 23 |
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