Liga ACB (Spanish basketball league) · Saturday, 17 October, MSK

San Pablo Burgos — Obradoiro CAB

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Model prediction for 17 October

San Pablo Burgos59%
Obradoiro CAB41%
Model estimate at MSK

In short

San Pablo Burgos are slightly stronger: 59% against 41%.

The model expects a score around 95:93 — 188 points in total.

Over 186.5 points (incl. overtime) — 51%.

Why

  • Team strength against the league average: San Pablo Burgos −1.5, Obradoiro CAB −0.9 points in regulation.

Probabilities

Expected points (incl. overtime): San Pablo Burgos — Obradoiro CAB95.3–92.5
Total over 186.5 (incl. OT)51%
Total under 186.5 (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 Pablo Burgos points
  • Obradoiro CAB points
  • Regulation 1X2
  • Offence and defence strength
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Form

San Pablo Burgos

  • 11.10away · Bilbao87:96
  • 07.10away · Aris80:93
  • 04.10away · Forca Lleida94:81
  • 30.09Cedevita Olimpija85:81
  • 27.09Baskonia97:98

Obradoiro CAB

  • 11.10Forca Lleida91:89
  • 04.10Real Madrid107:114
  • 26.09away · MoraBanc Andorra90:85
  • 12.05Joventut Badalona97:71
  • 09.05away · Palencia81:75

Head to head

  • 16.04.2022San Pablo Burgos — Obradoiro CAB77:82
  • 18.12.2021Obradoiro CAB — San Pablo Burgos101:94
  • 23.05.2021San Pablo Burgos — Obradoiro CAB83:77
  • 21.11.2020Obradoiro CAB — San Pablo Burgos63:78
  • 11.01.2020Obradoiro CAB — San Pablo Burgos73:76

Full record: 5 meetings →

Table

Table «Overall», season 2026/27
#TeamPWLPCTGB
6, PlayoffsBarcelona321.6671
7, PlayoffsObradoiro CAB321.6671
8, PlayoffsTenerife321.6671
9San Pablo Burgos312.3332
10Basquet Girona312.3332

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 59% will not happen in roughly 41 matches out of 100. How to read probabilities →