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NBB (Novo Basquete Brasil) · Saturday, 14 November, (UTC+3)

Cruzeiro — Unifacisa

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Model prediction for 14 November

Cruzeiro35%
Unifacisa65%
Model estimate at (UTC+3)

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

Unifacisa are clear favourites: 65% against 35% for the opponent.

The model expects a score around 78:83 — 161 point in total.

Over 160.5 points (incl. overtime) — 50%.

Why

  • Team strength against the league average: Cruzeiro −3.2, Unifacisa +4.9 points in regulation.

Facts

  • League table: Cruzeiro — No. 8, 3–2; Unifacisa — No. 6, 3–1.
  • Last 2 meetings: Cruzeiro 0 wins, Unifacisa 2.

Probabilities

Expected points (incl. overtime): Cruzeiro — Unifacisa78.1–83.0
Total over 160.5 (incl. OT)50%
Total under 160.5 (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
  • Cruzeiro points
  • Unifacisa points
  • Regulation 1X2
  • Offence and defence strength
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Form

Cruzeiro

  • 04.11away · Bauru78:74
  • 30.10Pato76:68
  • 28.10Brasilia80:89
  • 20.10away · Uniao Corinthians74:83
  • 18.10away · Caxias do Sul72:61

Unifacisa

  • 29.10away · Sao Jose97:83
  • 27.10away · Mogi70:78
  • 20.10Pinheiros81:65
  • 18.10Osasco96:70
  • 30.04away · Corinthians Paulista71:81

Head to head

  • 15.04.2026Cruzeiro — Unifacisa91:101
  • 28.12.2025Unifacisa — Cruzeiro85:77

Table

Table «Overall», season 2026/27
#TeamPWLPCTGB
5, PlayoffsPaulistano431.7501.5
6, PlayoffsUnifacisa431.7501.5
7, PlayoffsBrasilia532.6002
8, PlayoffsCruzeiro532.6002
9, PlayoffsUniao Corinthians523.4003

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

Full table

NBB on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 65% will not happen in roughly 35 matches out of 100. How to read probabilities →