Chennaiyin vs Minerva Punjab: result 0-0 and analysis
AFC Champions League TwoGroup Stage - 1Kick-off on April 3, 2019 at 02:00 PM (UTC)Jawaharlal Nehru Stadium, Chennai
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What was the result of Chennaiyin vs Minerva Punjab?
Chennaiyin and Minerva Punjab drew 0-0 on April 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chennaiyin have 4 wins, 3 draws and 8 defeats; Minerva Punjab 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 |
|---|---|---|---|
| Mar 29, 2019 | Mumbai City(home) | 2-0 | AIFF Super Cup |
| Mar 13, 2019 | Colombo(home) | 1-0 | AFC Champions League Two |
| Mar 6, 2019 | Colombo(away) | 0-0 | AFC Champions League Two |
| Feb 28, 2019 | Goa(away) | 0-1 | Indian Super League |
| Feb 23, 2019 | Jamshedpur(home) | 0-0 | Indian Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2019 | Chennai City(away) | 1-3 | I-League |
| Mar 3, 2019 | East Bengal(home) | 0-1 | I-League |
| Feb 23, 2019 | NEROCA(home) | 1-0 | I-League |
| Feb 12, 2019 | Saipa(away) | 0-4 | AFC Champions League Elite |
| Feb 5, 2019 | Indian Arrows(away) | 1-2 | I-League |
How many goals should we expect?
Chennaiyin score 0.9 and concede 1.4 goals per match over their last 15; Minerva Punjab score 0.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chennaiyin | 0.9 | 1.4 | 5 | 6/15 | 7/15 |
| Minerva Punjab | 0.4 | 1.2 | 5 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Chennaiyin sit 2nd in AFC Champions League Two (11 points from 6 matches) and Minerva Punjab sit 3rd (5 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Chennaiyin | 6 | 3 | 2 | 1 | 9 | 6 | 11 |
| 3 | Minerva Punjab | 6 | 0 | 5 | 1 | 6 | 7 | 5 |
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