PremiumTelegram
EN
Sections

EuroCup (basketball) · Wednesday, 4 November, (UTC+3)

Turk Telekom — Frankfurt

☆ Save match

Model prediction for 4 November

Turk Telekom85%
Frankfurt15%
Model estimate at (UTC+3)

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

Turk Telekom are clear favourites: 85% against 15% for the opponent.

The model expects a score around 87:74 — 161 point in total.

Over 160.5 points (incl. overtime) — 50%.

Why

  • Team strength against the league average: Turk Telekom +3.1, Frankfurt −7.1 points in regulation.

Facts

  • League table: Turk Telekom — No. 17, 1–2; Frankfurt — No. 15, 2–1.

Probabilities

Expected points (incl. overtime): Turk Telekom — Frankfurt86.8–73.9
Total over 160.5 (incl. OT)50%
Total under 160.5 (incl. OT)50%

231 more model lines in Premium

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
  • Turk Telekom points
  • Frankfurt points
  • Regulation 1X2
  • Offence and defence strength
Get Premiumfrom $5.99 a month

Form

Turk Telekom

  • 14.10away · Venezia65:75
  • 06.10Maxima Roma92:77
  • 30.09away · Tenerife75:82
  • 08.04away · JL Bourg78:94
  • 03.04JL Bourg73:76

Frankfurt

  • 15.10away · London Lions81:76
  • 06.10Siauliai79:71
  • 29.09away · Venezia72:104

Head to head

No previous meetings in the data.

Table

Group B

Table «Group B», season 2026/27
#TeamPWLPCTGB
1, PlayoffsCluj-Napoca321.667—
2, PlayoffsVenezia321.667—
3, PlayoffsTenerife321.667—
4, PlayoffsFrankfurt321.667—
5Turk Telekom312.3331
6Siauliai312.3331
7London Lions312.3331
8Maxima Roma312.3331

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

  • LietkabelisManresapreliminary
    1The model's most likely outcome: 1Model's score: —176.1
  • Rigas ZelliLe Manspreliminary
    1The model's most likely outcome: 1Model's score: —169.0
  • Cedevita OlimpijaTortonapreliminary
    1The model's most likely outcome: 1Model's score: —161.5
  • Slask WroclawJL Bourgpreliminary
    2The model's most likely outcome: 2Model's score: —168.8
  • KK BosnaBalkanpreliminary
    1The model's most likely outcome: 1Model's score: —162.5
  • Hapoel JerusalemArispreliminary
    1The model's most likely outcome: 1Model's score: —165.4
  • VeneziaSiauliaipreliminary
    1The model's most likely outcome: 1Model's score: —163.9
  • San Pablo BurgosRostockpreliminary
    1The model's most likely outcome: 1Model's score: —168.9

This is the model’s statistical estimate, not a recommendation. An outcome at 85% will not happen in roughly 15 matches out of 100. How to read probabilities →