Liga Nacional de Básquet (Argentina) · Monday, 9 November, (UTC+3)
San Lorenzo — San Martin
☆ Save matchModel prediction for 9 November
In short
San Lorenzo are clear favourites: 64% against 36% for the opponent.
The model expects a score around 83:79 — 161 point in total.
Over 160.5 points (incl. overtime) — 51%.
Why
- Team strength against the league average: San Lorenzo −4.5, San Martin −5.0 points in regulation.
Facts
- League table: San Lorenzo — No. 16, 1–3; San Martin — No. 18, 0–6.
- San Lorenzo: 3 defeats in a row; San Martin: 5 defeats in a row.
- Last 5 meetings: San Lorenzo 2 wins, San Martin 3.
Probabilities
| Expected points (incl. overtime): San Lorenzo — San Martin | 82.8–78.7 | |
| Total over 160.5 (incl. OT) | 51% | |
| Total under 160.5 (incl. OT) | 49% |
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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
- San Lorenzo points
- San Martin points
- Regulation 1X2
- Offence and defence strength
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Form
- 29.10Platense58:80
- 18.10Obera TC73:78
- 17.10Penarol85:92
- 09.10Gimnasia89:73
- 18.04away · Obras Sanitarias70:76
- 30.10away · Lanus72:81
- 28.10away · Penarol76:95
- 21.10Olimpico86:106
- 11.10away · Argentino79:82
- 09.10away · Racing de Chivilcoy123:126
Head to head
- 09.03.2026San Martin — San Lorenzo77:72
- 13.10.2025San Lorenzo — San Martin63:81
- 15.04.2025San Martin — San Lorenzo64:73
- 28.01.2025San Lorenzo — San Martin59:73
- 13.04.2024San Lorenzo — San Martin87:76
Table
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 15 | Regatas | 1 | 3 | .250 | 4 |
| 16 | San Lorenzo | 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
- 53471The model's most likely outcome: 1Model's score: —154.8
- 80201The model's most likely outcome: 1Model's score: —149.2
This is the model’s statistical estimate, not a recommendation. An outcome at 64% will not happen in roughly 36 matches out of 100. How to read probabilities →