Minerva Punjab vs NEROCA: result 3-2 and analysis
I-LeagueRegular Season - 10Kick-off on January 29, 2020 at 08:30 AM (UTC)Jawaharlal Nehru Stadium, New Delhi
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What was the result of Minerva Punjab vs NEROCA?
Minerva Punjab won 3-2 on January 29, 2020.
Goalscorers
- 4′180354NEROCA
- 20′Tettey Narh Phillip AdjahNEROCA
- 27′A. DipandaMinerva Punjab
- 44′A. DipandaMinerva Punjab
- 90′A. DipandaMinerva Punjab
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minerva Punjab have 3 wins, 10 draws and 2 defeats; NEROCA have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 20, 2020 | Gokulam(home) | 3-1 | I-League |
| Jan 14, 2020 | Mohun Bagan(home) | 1-1 | I-League |
| Jan 10, 2020 | Real Kashmir(away) | 1-1 | I-League |
| Jan 4, 2020 | TRAU(away) | 0-0 | I-League |
| Dec 20, 2019 | Aizawl(away) | 3-3 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2020 | Mohun Bagan(home) | 0-3 | I-League |
| Jan 14, 2020 | Real Kashmir(home) | 1-0 | I-League |
| Jan 8, 2020 | TRAU(away) | 1-2 | I-League |
| Jan 5, 2020 | Indian Arrows(away) | 1-1 | I-League |
| Dec 21, 2019 | Chennai City(away) | 2-2 | I-League |
What does the head-to-head say?
Across the last 2 meetings: 1 Minerva Punjab win(s), 1 draw(s), 0 NEROCA win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 23, 2019 | Minerva Punjab 1-0 NEROCA | I-League |
| Dec 23, 2018 | NEROCA 0-0 Minerva Punjab | I-League |
Last archived meeting: Minerva Punjab vs NEROCA on Feb 23, 2019
How many goals should we expect?
Minerva Punjab score 1.3 and concede 1.2 goals per match over their last 15; NEROCA score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minerva Punjab | 1.3 | 1.2 | 3 | 10/15 | 6/15 |
| NEROCA | 1.2 | 1.8 | 3 | 10/15 | 10/15 |
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