Minerva Punjab vs Manang Marshyangdi: result 2-2 and analysis
AFC Champions League TwoGroup Stage - 3Kick-off on May 1, 2019 at 01:00 PM (UTC)Jawaharlal Nehru Stadium, New Delhi
Full time
What was the result of Minerva Punjab vs Manang Marshyangdi?
Minerva Punjab and Manang Marshyangdi drew 2-2 on May 1, 2019.
Goalscorers
- 8′Sreyas Valiyaveettu GopalanMinerva Punjab
- 69′A. RijalManang Marshyangdi
- 86′K. OmolajaMinerva Punjab (pen.)
- 90′O. SomideManang Marshyangdi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minerva Punjab have 1 wins, 5 draws and 9 defeats; Manang Marshyangdi have 0, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2019 | Abahani(away) | 2-2 | AFC Champions League Two |
| Apr 3, 2019 | Chennaiyin(away) | 0-0 | AFC Champions League Two |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2019 | Chennaiyin(away) | 0-2 | AFC Champions League Two |
| Apr 3, 2019 | Abahani(home) | 0-1 | AFC Champions League Two |
How many goals should we expect?
Minerva Punjab score 0.4 and concede 1.3 goals per match over their last 15; Manang Marshyangdi score 0.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minerva Punjab | 0.4 | 1.3 | 4 | 4/15 | 4/15 |
| Manang Marshyangdi | 0.0 | 1.5 | 0 | 0/2 | 0/2 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Minerva Punjab sit 3rd in AFC Champions League Two (5 points from 6 matches) and Manang Marshyangdi sit 4th (2 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Minerva Punjab | 6 | 0 | 5 | 1 | 6 | 7 | 5 |
| 4 | Manang Marshyangdi | 6 | 0 | 2 | 4 | 5 | 14 | 2 |
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