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Liga ACB (Spanish basketball league) · Saturday, 7 November, (UTC+3)

Manresa — Obradoiro CAB

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Model prediction for 7 November

Manresa48%
Obradoiro CAB52%
Model estimate at (UTC+3)

In short

Evenly matched: Manresa 48%, Obradoiro CAB 52%.

The model expects a score around 91:92 — 183 points in total.

Over 182.5 points (incl. overtime) — 50%.

Why

  • Team strength against the league average: Manresa −8.2, Obradoiro CAB −4.0 points in regulation.

Facts

  • League table: Manresa — No. 18, 0–6; Obradoiro CAB — No. 11, 3–3.
  • Last 5 meetings: Manresa 3 wins, Obradoiro CAB 2.

Probabilities

Expected points (incl. overtime): Manresa — Obradoiro CAB91.4–92.1
Total over 182.5 (incl. OT)50%
Total under 182.5 (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
  • Manresa points
  • Obradoiro CAB points
  • Regulation 1X2
  • Offence and defence strength
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Form

Manresa

  • 01.11away · Baskonia83:106
  • 27.10away · Balkan76:65
  • 24.10San Pablo Burgos81:99
  • 20.10BC Roma108:88
  • 17.10Unicaja72:84

Obradoiro CAB

  • 01.11Breogan90:110
  • 25.10away · Tenerife76:106
  • 17.10away · San Pablo Burgos79:72
  • 11.10Forca Lleida91:89
  • 04.10Real Madrid107:114

Head to head

  • 13.04.2024Obradoiro CAB — Manresa86:94
  • 19.11.2023Manresa — Obradoiro CAB76:56
  • 02.04.2023Manresa — Obradoiro CAB80:65
  • 04.01.2023Obradoiro CAB — Manresa104:99 OT
  • 02.04.2022Obradoiro CAB — Manresa98:91 OT

Full record: 10 meetings →

Table

Table «Overall», season 2026/27
#TeamPWLPCTGB
10Unicaja633.5003
11Obradoiro CAB633.5003
12Murcia633.5003
17, RelegationForca Lleida615.1675
18, RelegationManresa606.0006

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 52% will not happen in roughly 48 matches out of 100. How to read probabilities →