Liga Nacional de Básquet (Argentina) · Thursday, 22 October, MSK

Instituto de Cordoba — Lanus

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Model prediction for 22 October

Instituto de Cordoba84%
Lanus16%
Model estimate at MSK

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

Instituto de Cordoba are clear favourites: 84% against 16% for the opponent.

The model expects a score around 82:70 — 152 points in total.

Over 151.5 points (incl. overtime) — 50%.

Why

  • Team strength against the league average: Instituto de Cordoba +1.9, Lanus −6.3 points in regulation.

Probabilities

Expected points (incl. overtime): Instituto de Cordoba — Lanus81.9–70.0
Total over 151.5 (incl. OT)50%
Total under 151.5 (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.

  • All handicaps
  • All totals
  • Instituto de Cordoba points
  • Lanus points
  • Regulation 1X2
  • Offence and defence strength
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Form

Instituto de Cordoba

  • 10.10Ferro97:94
  • 03.10away · Regatas63:73
  • 01.10away · San Martin81:73
  • 20.05away · Quimsa71:75
  • 17.05Quimsa83:80

Lanus

  • 10.10Obera TC67:58
  • 29.09Gimnasia74:92

Head to head

No previous meetings in the data.

Table

Table «Overall», season 2026/27
#TeamPWLPCTGB
6, Play-in round for the quarter-finalsAtenas321.6671
7, Play-in round for the quarter-finalsInstituto de Cordoba321.6671
8, Play-in round for the quarter-finalsArgentino321.6671
10, Play-in round for the quarter-finalsRacing de Chivilcoy211.5001.5
11, Play-in round for the quarter-finalsLanus211.5001.5
12, Play-in round for the quarter-finalsPlatense312.3332

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

Full table

Liga Nacional on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 84% will not happen in roughly 16 matches out of 100. How to read probabilities →