EuroCup (basketball) · Wednesday, 21 October, MSK

Cluj-Napoca — London Lions

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Model prediction for 21 October

Cluj-Napoca67%
London Lions33%
Model estimate at 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

Cluj-Napoca are clear favourites: 67% against 33% for the opponent.

The model expects a score around 87:81 — 167 points in total.

Over 166.5 points (incl. overtime) — 51%.

Why

  • Team strength against the league average: Cluj-Napoca −1.0, London Lions −4.2 points in regulation.

Facts

  • League table: Cluj-Napoca — No. 10, 2–1; London Lions — No. 13, 1–1.

Probabilities

Expected points (incl. overtime): Cluj-Napoca — London Lions86.5–80.9
Total over 166.5 (incl. OT)51%
Total under 166.5 (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
  • Cluj-Napoca points
  • London Lions points
  • Regulation 1X2
  • Offence and defence strength
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Form

Cluj-Napoca

  • 14.10away · Siauliai93:75
  • 07.10Venezia98:92
  • 30.09away · Maxima Roma55:89
  • 17.03away · Bahcesehir Kol.72:75
  • 11.03away · Buducnost100:82

London Lions

  • 06.10Tenerife89:77
  • 30.09away · Siauliai71:74
  • 11.02Lietkabelis58:66
  • 04.02away · JL Bourg85:86
  • 28.01away · Panionios78:79

Head to head

  • 13.03.2024Cluj-Napoca — London Lions79:91

Table

Group B

Table «Group B», season 2026/27
#TeamPWLPCTGB
1, PlayoffsCluj-Napoca321.667—
2, PlayoffsVenezia211.5000.5
3, PlayoffsLondon Lions211.5000.5
4, PlayoffsTenerife211.5000.5
5Turk Telekom211.5000.5
6Maxima Roma211.5000.5
7Frankfurt211.5000.5
8Siauliai312.3331

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

  • 1The model's most likely outcome: 1Model's score: —160.8
  • 1The model's most likely outcome: 1Model's score: —168.3
  • PAOKUlmpreliminary
    1The model's most likely outcome: 1Model's score: —174.9
  • 1The model's most likely outcome: 1Model's score: —171.3
  • 2The model's most likely outcome: 2Model's score: —167.5
  • JL BourgTrentopreliminary
    1The model's most likely outcome: 1Model's score: —161.1
  • 2The model's most likely outcome: 2Model's score: —160.1
  • 1The model's most likely outcome: 1Model's score: —167.1

This is the model’s statistical estimate, not a recommendation. An outcome at 67% will not happen in roughly 33 matches out of 100. How to read probabilities →