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EuroCup (basketball) · Tuesday, 10 November, (UTC+3)

Cluj-Napoca — Turk Telekom

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Model prediction for 10 November

Cluj-Napoca46%
Turk Telekom54%
Model estimate at (UTC+3)

In short

Turk Telekom are slightly stronger: 54% against 46%.

The model expects a score around 86:87 — 173 points in total.

Over 172.5 points (incl. overtime) — 50%.

Why

  • Team strength against the league average: Cluj-Napoca −4.6, Turk Telekom −0.5 points in regulation.

Facts

  • League table: Cluj-Napoca — No. 21, 2–3; Turk Telekom — No. 27, 1–4.
  • Turk Telekom: 3 defeats in a row.
  • Last 4 meetings: Cluj-Napoca 2 wins, Turk Telekom 2.

Probabilities

Expected points (incl. overtime): Cluj-Napoca — Turk Telekom85.8–87.2
Total over 172.5 (incl. OT)50%
Total under 172.5 (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
  • Cluj-Napoca points
  • Turk Telekom points
  • Regulation 1X2
  • Offence and defence strength
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Form

Cluj-Napoca

  • 27.10away · Frankfurt97:113
  • 21.10London Lions72:89
  • 14.10away · Siauliai93:75
  • 07.10Venezia98:92
  • 30.09away · Maxima Roma55:89

Turk Telekom

  • 28.10away · London Lions61:79
  • 20.10Siauliai84:94
  • 14.10away · Venezia65:75
  • 06.10Maxima Roma92:77
  • 30.09away · Tenerife75:82

Head to head

  • 21.01.2025Cluj-Napoca — Turk Telekom94:81
  • 06.11.2024Turk Telekom — Cluj-Napoca99:80
  • 05.12.2023Turk Telekom — Cluj-Napoca95:84
  • 04.10.2023Cluj-Napoca — Turk Telekom80:71

Full record: 4 meetings →

Table

Group B

Table «Group B», season 2026/27
#TeamPWLPCTGB
1, PlayoffsTenerife541.800—
2, PlayoffsFrankfurt532.6001
3, PlayoffsSiauliai532.6001
4, PlayoffsLondon Lions532.6001
5Maxima Roma523.4002
6Cluj-Napoca523.4002
7Venezia523.4002
8Turk Telekom514.2003

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

Full table

EuroCup on the same day

  • BalkanPAOK
    2The model's most likely outcome: 2Model's score: —162.4
  • NeptunasSlask Wroclaw
    1The model's most likely outcome: 1Model's score: —180.1
  • JL BourgBuducnost
    1The model's most likely outcome: 1Model's score: —173.1
  • RostockCedevita Olimpija
    2The model's most likely outcome: 2Model's score: —163.3
  • TrentoTofas
    2The model's most likely outcome: 2Model's score: —168.3
  • London LionsVenezia
    1The model's most likely outcome: 1Model's score: —156.5
  • ManresaKK Bosna
    1The model's most likely outcome: 1Model's score: —173.7

This is the model’s statistical estimate, not a recommendation. An outcome at 54% will not happen in roughly 46 matches out of 100. How to read probabilities →