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?
In the last meeting: 0 Punjab wins, 0 draws, 1 Maharashtra win.
| 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.
A question about Punjab vs Maharashtra?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy