Minerva Punjab vs Aizawl: result 0-1 and analysis
I-LeagueRegular Season - 16Kick-off on February 1, 2019 at 08:30 AM (UTC)Jawaharlal Nehru Stadium, New Delhi
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What was the result of Minerva Punjab vs Aizawl?
Aizawl won 0-1 on February 1, 2019.
Goalscorers
- 69′Lalrinchhana LallawmpuiaAizawl
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minerva Punjab have 3 wins, 6 draws and 6 defeats; Aizawl have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 25, 2019 | Shillong Lajong(home) | 0-1 | I-League |
| Jan 19, 2019 | Gokulam(home) | 1-1 | I-League |
| Jan 9, 2019 | Mohun Bagan(away) | 0-2 | I-League |
| Jan 5, 2019 | Churchill Brothers(away) | 0-2 | I-League |
| Dec 23, 2018 | NEROCA(away) | 0-0 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2019 | NEROCA(away) | 0-0 | I-League |
| Jan 18, 2019 | Chennai City(away) | 3-4 | I-League |
| Jan 11, 2019 | Real Kashmir(home) | 0-0 | I-League |
| Jan 5, 2019 | Indian Arrows(home) | 0-1 | I-League |
| Dec 29, 2018 | Gokulam(home) | 3-2 | I-League |
What does the head-to-head say?
Across the last 1 meetings: 1 Minerva Punjab win(s), 0 draw(s), 0 Aizawl win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2018 | Aizawl 1-2 Minerva Punjab | I-League |
Last archived meeting: Aizawl vs Minerva Punjab on Nov 10, 2018
How many goals should we expect?
Minerva Punjab score 0.5 and concede 0.8 goals per match over their last 15; Aizawl score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minerva Punjab | 0.5 | 0.8 | 6 | 3/15 | 2/15 |
| Aizawl | 1.1 | 1.5 | 4 | 9/15 | 9/15 |
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