Liga ACB (Spanish basketball league) · Sunday, 25 October, MSK

Breogan — Unicaja

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Model prediction for 25 October

Breogan58%
Unicaja42%
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

Breogan are slightly stronger: 58% against 42%.

The model expects a score around 96:94 — 190 points in total.

Over 188.5 points (incl. overtime) — 51%.

Why

  • Team strength against the league average: Breogan −0.1, Unicaja +0.9 points in regulation.

Probabilities

Expected points (incl. overtime): Breogan — Unicaja96.0–93.7
Total over 188.5 (incl. OT)51%
Total under 188.5 (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
  • Breogan points
  • Unicaja points
  • Regulation 1X2
  • Offence and defence strength
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Form

Breogan

  • 10.10Basquet Girona115:92
  • 03.10away · Manresa101:95
  • 27.09Joventut Badalona110:104
  • 29.05Basket Zaragoza94:95
  • 23.05away · Unicaja83:101

Unicaja

  • 10.10MoraBanc Andorra92:84
  • 03.10Tenerife75:80
  • 27.09away · Real Madrid87:89
  • 29.05away · Baskonia89:92
  • 26.05away · Joventut Badalona74:95

Head to head

  • 23.05.2026Unicaja — Breogan101:83
  • 03.01.2026Breogan — Unicaja98:82
  • 08.02.2025Breogan — Unicaja81:79
  • 28.12.2024Unicaja — Breogan86:77
  • 09.03.2024Breogan — Unicaja65:76

Full record: 10 meetings →

Table

Table «Overall», season 2026/27
#TeamPWLPCTGB
2, PlayoffsReal Madrid3301.000—
3, PlayoffsBreogan3301.000—
4, PlayoffsBasket Zaragoza321.6671
10Basquet Girona312.3332
11Unicaja312.3332
12Forca Lleida312.3332

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

Full table

Liga ACB on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 58% will not happen in roughly 42 matches out of 100. How to read probabilities →