EuroLeague (basketball) · Thursday, 29 October, MSK

Maccabi Tel Aviv — Paris

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Model prediction for 29 October

Maccabi Tel Aviv58%
Paris42%
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

Maccabi Tel Aviv are slightly stronger: 58% against 42%.

The model expects a score around 95:93 — 188 points in total.

Over 186.5 points (incl. overtime) — 50%.

Why

  • Team strength against the league average: Maccabi Tel Aviv −5.3, Paris −4.4 points in regulation.

Probabilities

Expected points (incl. overtime): Maccabi Tel Aviv — Paris95.1–92.5
Total over 186.5 (incl. OT)50%
Total under 186.5 (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
  • Maccabi Tel Aviv points
  • Paris points
  • Regulation 1X2
  • Offence and defence strength
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Form

Maccabi Tel Aviv

  • 13.10away · Barcelona87:90
  • 08.10Olimpia Milano97:79
  • 02.10away · Panathinaikos67:90
  • 30.09Besiktas93:109
  • 24.09away · Lyon-Villeurbanne74:84

Paris

  • 07.10Lyon-Villeurbanne96:98
  • 01.10Zalgiris Kaunas82:78
  • 29.09Partizan Mozzart Bet79:92
  • 24.09away · Panathinaikos72:91
  • 17.04away · Zalgiris Kaunas79:85

Head to head

  • 09.04.2026Paris — Maccabi Tel Aviv113:80
  • 03.10.2025Maccabi Tel Aviv — Paris94:101
  • 16.01.2025Paris — Maccabi Tel Aviv96:83
  • 03.12.2024Maccabi Tel Aviv — Paris81:93

Full record: 4 meetings →

Table

Table «Overall», season 2026/27
#TeamPWLPCTGB
15Anadolu Efes413.2503.5
16Paris413.2503.5
17Bayern413.2503.5
18Maccabi Tel Aviv514.2004
19Baskonia514.2004

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 58% will not happen in roughly 42 matches out of 100. How to read probabilities →