Liga ACB (Spanish basketball league) · Sunday, 18 October, MSK
Tenerife — Baskonia
☆ Save matchModel prediction for 18 October
In short
Baskonia are slightly stronger: 55% against 45%.
The model expects a score around 91:93 — 184 points in total.
Over 183.5 points (incl. overtime) — 49%.
Why
- Team strength against the league average: Tenerife +2.8, Baskonia +7.7 points in regulation.
Probabilities
| Expected points (incl. overtime): Tenerife — Baskonia | 91.2–92.7 | |
| Total over 183.5 (incl. OT) | 49% | |
| Total under 183.5 (incl. OT) | 51% |
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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
- Tenerife points
- Baskonia points
- Regulation 1X2
- Offence and defence strength
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Form
- 11.10away · Murcia90:77
- 06.10away · London Lions77:89
- 03.10away · Unicaja80:75
- 30.09Turk Telekom82:75
- 27.09Basket Zaragoza80:81
- 13.10Dubai79:93
- 11.10Joventut Badalona93:73
- 09.10Besiktas84:92
- 04.10Basquet Girona118:78
- 02.10Olimpia Milano86:76
Head to head
- 01.02.2026Tenerife — Baskonia89:85
- 02.11.2025Baskonia — Tenerife89:79
- 20.04.2025Baskonia — Tenerife89:93
- 29.09.2024Tenerife — Baskonia88:80
- 04.02.2024Tenerife — Baskonia95:78
Table
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Baskonia | 3 | 0 | 1.000 | — |
| 2, Playoffs | Real Madrid | 3 | 0 | 1.000 | — |
| 7, Playoffs | Obradoiro CAB | 2 | 1 | .667 | 1 |
| 8, Playoffs | Tenerife | 2 | 1 | .667 | 1 |
| 9 | San Pablo Burgos | 1 | 2 | .333 | 2 |
Liga ACB on the same day
- 68321The model's most likely outcome: 1Model's score: —182.3
- 70301The model's most likely outcome: 1Model's score: —189.6
- 83171The model's most likely outcome: 1Model's score: —183.1
- 80201The model's most likely outcome: 1Model's score: —183.6
- 48522The model's most likely outcome: 2Model's score: —179.7
This is the model’s statistical estimate, not a recommendation. An outcome at 55% will not happen in roughly 45 matches out of 100. How to read probabilities →