Liga Nacional de Básquet (Argentina) · Wednesday, 11 November, (UTC+3)
Ferro — San Martin
☆ Save matchModel prediction for 11 November
Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.
In short
Ferro are clear favourites: 76% against 24% for the opponent.
The model expects a score around 86:78 — 164 points in total.
Over 163.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Ferro −0.1, San Martin −5.0 points in regulation.
Facts
- League table: Ferro — No. 14, 2–4; San Martin — No. 18, 0–6.
- San Martin: 5 defeats in a row.
- Last 5 meetings: Ferro 3 wins, San Martin 2.
Probabilities
| Expected points (incl. overtime): Ferro — San Martin | 86.2–77.7 | |
| Total over 163.5 (incl. OT) | 50% | |
| Total under 163.5 (incl. OT) | 50% |
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All totals and handicaps, team totals, the regulation 1X2, the teams’ offence and defence, every factor and how the estimate moved before kick-off.
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- All totals
- Ferro points
- San Martin points
- Regulation 1X2
- Offence and defence strength
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Form
- 29.10away · Gimnasia61:73
- 21.10Platense86:81
- 13.10away · Atenas86:91
- 10.10away · Instituto de Cordoba94:97
- 09.10away · Independiente de Oliva97:92
- 30.10away · Lanus72:81
- 28.10away · Penarol76:95
- 21.10Olimpico86:106
- 11.10away · Argentino79:82
- 09.10away · Racing de Chivilcoy123:126
Head to head
- 21.03.2026San Martin — Ferro71:65
- 15.10.2025Ferro — San Martin69:66
- 01.04.2025San Martin — Ferro81:71
- 02.12.2024Ferro — San Martin79:71
- 12.02.2024San Martin — Ferro79:81
Table
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 13 | Racing de Chivilcoy | 3 | 5 | .375 | 4 |
| 14 | Ferro | 2 | 4 | .333 | 4 |
| 15 | Regatas | 1 | 3 | .250 | 4 |
| 17, Relegation play-off | Obera TC | 1 | 4 | .200 | 4.5 |
| 18, Relegation play-off | San Martin | 0 | 6 | .000 | 6 |
Liga Nacional on the same day
- ArgentinoRegataspreliminary37632The model's most likely outcome: 2Model's score: —155.9
- OlimpicoInstituto de Cordobapreliminary59411The model's most likely outcome: 1Model's score: —155.1
This is the model’s statistical estimate, not a recommendation. An outcome at 76% will not happen in roughly 24 matches out of 100. How to read probabilities →