Punjab vs Maharashtra: result 4-3 and analysis
Santosh TrophyFinal Group - 2Kick-off on February 12, 2023 at 09:30 AM (UTC)Tau Devi Lal Football Stadium, Panchkula
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What was the result of Punjab vs Maharashtra?
Punjab won 4-3 on February 12, 2023.
Goalscorers
- 21′?Punjab
- 39′?Maharashtra
- 53′?Punjab
- 65′?Maharashtra
- 69′?Maharashtra
- 71′?Punjab
- 90′?Punjab
What is the recent form of both teams?
Over their last 15 matches in all competitions, Punjab have 11 wins, 2 draws and 2 defeats; Maharashtra have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2023 | Karnataka(home) | 2-2 | Santosh Trophy |
| Jan 31, 2023 | Manipur(away) | 1-0 | Santosh Trophy |
| Jan 29, 2023 | Himachal Pradesh(home) | 5-0 | Santosh Trophy |
| Jan 27, 2023 | Chandigarh(home) | 1-1 | Santosh Trophy |
| Jan 24, 2023 | Lakshadweep(away) | 3-0 | Santosh Trophy |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2023 | Odisha(home) | 1-1 | Santosh Trophy |
| Jan 15, 2023 | West Bengal(home) | 1-2 | Santosh Trophy |
| Jan 13, 2023 | Haryana(home) | 3-1 | Santosh Trophy |
| Jan 9, 2023 | Chhattisgarh(away) | 1-0 | Santosh Trophy |
| Jan 7, 2023 | Madhya Pradesh(away) | 4-0 | Santosh Trophy |
What does the head-to-head say?
Across the last 1 meetings: 0 Punjab win(s), 0 draw(s), 1 Maharashtra win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2019 | Punjab 1-2 Maharashtra | Santosh Trophy |
Last archived meeting: Punjab vs Maharashtra on Apr 12, 2019
How many goals should we expect?
Punjab score 2.6 and concede 0.4 goals per match over their last 15; Maharashtra score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Punjab | 2.6 | 0.4 | 11 | 3/15 | 8/15 |
| Maharashtra | 2.1 | 0.9 | 6 | 8/15 | 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