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Gimnasia M. predictions
AI predictions for every covered Gimnasia M. match in the Liga Profesional Argentina and beyond. Each forecast is recorded before kickoff and graded after full time on the public track record — so far 1 of 4 model calls in Gimnasia M. matches were correct (25%).
Gimnasia M. form and model record
Last 4 graded matches
- L
- D
- W
- W
- Record (W-D-L)
- 2-1-1
- Goals scored / match
- 2.00
- Goals conceded / match
- 1.75
- Over 2.5 goals
- 75%
- Both teams scored
- 75%
Model record by market
| Market | Correct | Hit rate |
|---|---|---|
| Over/under 2.5 goals | 1/4 | 25% |
Hit rate alone is not a quality measure — see how accurate AI football predictions are for calibration and returns.
Upcoming Gimnasia M. matches
Graded Gimnasia M. predictions
- Defensa Y Justicia 2-0 Gimnasia M.Liga Profesional Argentina · settled 12 Sept 2026 · called Under 2.5 Goals at 60%Won
- Gimnasia M. 2-2 Boca JuniorsLiga Profesional Argentina · settled 9 Sept 2026 · called Under 2.5 Goals at 65%Lost
- Gimnasia L.P. 2-3 Gimnasia M.Liga Profesional Argentina · settled 24 Aug 2026 · called Under 2.5 Goals at 63%Lost
- Gimnasia M. 3-1 Talleres CordobaLiga Profesional Argentina · settled 18 Aug 2026 · called Under 2.5 Goals at 62%Lost
Gimnasia M. predictions: common questions
When is Gimnasia M.'s next match?
Estudiantes L.P. vs Gimnasia M. in the Liga Profesional Argentina on Tuesday 6 October. The model publishes its probabilities on the match page once the fixture enters the pricing window.
How accurate are the AI predictions for Gimnasia M.?
The model has 1 correct calls from 4 graded predictions involving Gimnasia M. (25%). Every one was recorded before kickoff, and the full list is on this page and on the public track record.
What is Gimnasia M.'s recent form?
Across the last 4 graded matches Gimnasia M. won 2, drew 1 and lost 1, scoring 2.00 and conceding 1.75 per match. 75% of those matches had three or more goals and 75% saw both teams score.
Are these Gimnasia M. predictions betting tips?
No. They are model probabilities published for analysis, with the model's own losses shown as prominently as its wins. Nothing on this page guarantees an outcome or a return.