Minerva Punjab vs Aizawl: prediction and stats
I-LeagueRegular Season - 19Kick-off on March 15, 2020 at 12:00 AM (UTC)Jawaharlal Nehru Stadium, New Delhi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minerva Punjab have 5 wins, 8 draws and 2 defeats; Aizawl have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2020 | NEROCA(away) | 3-4 | I-League |
| Mar 3, 2020 | Indian Arrows(away) | 1-1 | I-League |
| Feb 29, 2020 | Gokulam(away) | 1-1 | I-League |
| Feb 16, 2020 | Real Kashmir(home) | 1-0 | I-League |
| Feb 13, 2020 | East Bengal(away) | 1-1 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2020 | Mohun Bagan(away) | 0-1 | I-League |
| Feb 29, 2020 | Real Kashmir(away) | 2-2 | I-League |
| Feb 23, 2020 | Chennai City(away) | 1-1 | I-League |
| Feb 15, 2020 | Churchill Brothers(away) | 1-2 | I-League |
| Feb 11, 2020 | TRAU(home) | 2-0 | I-League |
What does the head-to-head say?
Across the last 3 meetings: 1 Minerva Punjab win(s), 1 draw(s), 1 Aizawl win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 20, 2019 | Aizawl 3-3 Minerva Punjab | I-League |
| Feb 1, 2019 | Minerva Punjab 0-1 Aizawl | I-League |
| Nov 10, 2018 | Aizawl 1-2 Minerva Punjab | I-League |
Last archived meeting: Aizawl vs Minerva Punjab on Dec 20, 2019
How many goals should we expect?
Minerva Punjab score 1.5 and concede 1.2 goals per match over their last 15; Aizawl score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minerva Punjab | 1.5 | 1.2 | 3 | 11/15 | 5/15 |
| Aizawl | 1.1 | 1.3 | 3 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Aizawl | 9 | 2 | 3 | 4 | 13 | 22 | 9 |
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