Liga ACB (Spanish basketball league) · Saturday, 31 October, 21:30 MSK

Murcia — Forca Lleida

Model prediction for 31 October

Murcia79%

Forca Lleida21%

Model estimate at 03:54 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

Murcia are clear favourites: 79% against 21% for the opponent.

The model expects a score around 95:85 — 180 points in total.

Over 179.5 points (incl. overtime) — 50%.

Why

Team strength against the league average: Murcia +1.5, Forca Lleida −4.9 points in regulation.

Probabilities

Expected points (incl. overtime): Murcia — Forca Lleida		95.0–85.3
Total over 179.5 (incl. OT)		50%
Total under 179.5 (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
Murcia points
Forca Lleida points
Regulation 1X2
Offence and defence strength

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Form

Murcia

11.10Tenerife77:90
04.10Barcelona100:94
27.09away · Basquet Girona77:84
06.06Barcelona76:100
04.06away · Barcelona90:87

Forca Lleida

11.10away · Obradoiro CAB89:91
04.10San Pablo Burgos81:94
27.09away · Valencia105:100
29.05away · Murcia95:116
24.05MoraBanc Andorra88:116

Head to head

29.05.2026Murcia — Forca Lleida116:95
22.11.2025Forca Lleida — Murcia71:107
04.05.2025Forca Lleida — Murcia79:77
12.01.2025Murcia — Forca Lleida88:81

Full record: 4 meetings →

Table

Table «Overall», season 2026/27
#	Team	P	W	L	PCT	GB
11	Unicaja	3	1	2	.333	2
12	Forca Lleida	3	1	2	.333	2
13	Leyma Coruna	3	1	2	.333	2
14	Valencia	3	1	2	.333	2
15	Murcia	3	1	2	.333	2
16	MoraBanc Andorra	2	0	2	.000	2.5

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

20:00
Basket ZaragozaBasquet Gironapreliminary
7327
1The model's most likely outcome: 1Model's score: —180.8
23:00
Leyma CorunaTenerifepreliminary
2377
2The model's most likely outcome: 2Model's score: —186.4

This is the model’s statistical estimate, not a recommendation. An outcome at 79% will not happen in roughly 21 matches out of 100. How to read probabilities →