Liga Nacional de Básquet (Argentina) · Sunday, 18 October, MSK

San Lorenzo — Obera TC

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Model prediction for 18 October

San Lorenzo62%
Obera TC38%
Model estimate at MSK

In short

San Lorenzo are clear favourites: 62% against 38% for the opponent.

The model expects a score around 82:78 — 160 points in total.

Over 158.5 points (incl. overtime) — 51%.

Why

  • Team strength against the league average: San Lorenzo −0.9, Obera TC −1.0 point in regulation.

Probabilities

Expected points (incl. overtime): San Lorenzo — Obera TC81.7–77.8
Total over 158.5 (incl. OT)51%
Total under 158.5 (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.

  • All handicaps
  • All totals
  • San Lorenzo points
  • Obera TC points
  • Regulation 1X2
  • Offence and defence strength
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Form

San Lorenzo

  • 09.10Gimnasia89:73
  • 18.04away · Obras Sanitarias70:76
  • 15.04away · Argentino70:80
  • 13.04away · Racing de Chivilcoy66:80
  • 04.04Boca Juniors77:83

Obera TC

  • 10.10away · Lanus58:67
  • 08.10away · Boca Juniors73:96
  • 15.05away · Boca Juniors78:86
  • 12.05Boca Juniors80:102
  • 09.05Boca Juniors66:70

Head to head

  • 17.02.2026San Lorenzo — Obera TC102:95 OT
  • 01.10.2025Obera TC — San Lorenzo85:76
  • 11.04.2025San Lorenzo — Obera TC85:86
  • 25.01.2025Obera TC — San Lorenzo74:79
  • 02.06.2024Obera TC — San Lorenzo80:93

Full record: 15 meetings →

Table

Table «Overall», season 2026/27
#TeamPWLPCTGB
1, Playoffs: straight to the quarter-finalsQuimsa3301.000—
2, Playoffs: straight to the quarter-finalsSan Lorenzo1101.0001
3, Playoffs: straight to the quarter-finalsRegatas1101.0001
17, Relegation play-offSan Martin303.0003
18, Relegation play-offObera TC202.0002.5

Season 2026/27 · by win percentage, ties by head-to-head record, then the points difference in those games and overall

Full table

This is the model’s statistical estimate, not a recommendation. An outcome at 62% will not happen in roughly 38 matches out of 100. How to read probabilities →