Minerva Punjab vs Indian Arrows: result 1-0 and analysis
I-LeagueRegular Season - 4Kick-off on December 16, 2019 at 08:30 AM (UTC)Jawaharlal Nehru Stadium, New Delhi
Full time
What was the result of Minerva Punjab vs Indian Arrows?
Minerva Punjab won 1-0 on December 16, 2019.
Goalscorers
- 80′A. DipandaMinerva Punjab
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minerva Punjab have 2 wins, 6 draws and 7 defeats; Indian Arrows have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2019 | Chennai City(home) | 3-1 | I-League |
| Dec 7, 2019 | East Bengal(home) | 1-1 | I-League |
| Dec 1, 2019 | Churchill Brothers(away) | 0-3 | I-League |
| Jun 26, 2019 | Abahani(home) | 0-1 | AFC Champions League Two |
| Jun 19, 2019 | Chennaiyin(home) | 1-1 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2019 | Aizawl(home) | 1-2 | I-League |
| Dec 6, 2019 | Gokulam(home) | 0-1 | I-League |
| Mar 30, 2019 | Goa(home) | 0-3 | AIFF Super Cup |
| Mar 15, 2019 | Kerala Blasters(away) | 2-0 | AIFF Super Cup |
| Feb 28, 2019 | Mohun Bagan(away) | 3-1 | I-League |
What does the head-to-head say?
Across the last 2 meetings: 1 Minerva Punjab win(s), 0 draw(s), 1 Indian Arrows win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 5, 2019 | Indian Arrows 2-1 Minerva Punjab | I-League |
| Dec 1, 2018 | Minerva Punjab 1-0 Indian Arrows | I-League |
Last archived meeting: Indian Arrows vs Minerva Punjab on Feb 5, 2019
How many goals should we expect?
Minerva Punjab score 0.9 and concede 1.5 goals per match over their last 15; Indian Arrows score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minerva Punjab | 0.9 | 1.5 | 2 | 8/15 | 7/15 |
| Indian Arrows | 1.3 | 1.4 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
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