EuroLeague (basketball) · Friday, 30 October, MSK

Virtus Bologna — Besiktas

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Model prediction for 30 October

Virtus Bologna62%
Besiktas38%
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

Virtus Bologna are clear favourites: 62% against 38% for the opponent.

The model expects a score around 90:87 — 177 points in total.

Over 176.5 points (incl. overtime) — 49%.

Why

  • Team strength against the league average: Virtus Bologna −3.3, Besiktas −3.4 points in regulation.

Facts

  • League table: Virtus Bologna — No. 10, 2–2; Besiktas — No. 9, 2–2.

Probabilities

Expected points (incl. overtime): Virtus Bologna — Besiktas90.2–86.7
Total over 176.5 (incl. OT)49%
Total under 176.5 (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
  • Virtus Bologna points
  • Besiktas points
  • Regulation 1X2
  • Offence and defence strength
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Form

Virtus Bologna

  • 08.10away · Bayern94:87
  • 01.10Olympiacos96:94
  • 29.09away · Olimpia Milano85:87
  • 25.09away · Fenerbahce68:78
  • 16.04away · Maccabi Tel Aviv89:85

Besiktas

  • 09.10away · Baskonia92:84
  • 02.10Barcelona82:95
  • 30.09away · Maccabi Tel Aviv109:93
  • 25.09Valencia94:96
  • 28.04away · JL Bourg71:73

Head to head

No previous meetings in the data.

Table

Table «Overall», season 2026/27
#TeamPWLPCTGB
8, Play-in round for the quarter-finalsBarcelona532.6002
9, Play-in round for the quarter-finalsBesiktas422.5002.5
10, Play-in round for the quarter-finalsVirtus Bologna422.5002.5
11Hapoel Tel Aviv422.5002.5

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

Full table

EuroLeague on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 62% will not happen in roughly 38 matches out of 100. How to read probabilities →