EuroCup (basketball) · Wednesday, 14 October, MSK
Venezia — Turk Telekom
☆ Save matchModel prediction for 14 October
In short
Evenly matched: Venezia 49%, Turk Telekom 51%.
The model expects a score around 84:85 — 169 points in total.
Over 168.5 points (incl. overtime) — 49%.
Why
- Team strength against the league average: Venezia +1.2, Turk Telekom +4.1 points in regulation.
Probabilities
| Expected points (incl. overtime): Venezia — Turk Telekom | 84.2–84.6 | |
| Total over 168.5 (incl. OT) | 49% | |
| Total under 168.5 (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
- Venezia points
- Turk Telekom points
- Regulation 1X2
- Offence and defence strength
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Form
- 07.10away · Cluj-Napoca92:98
- 29.09Frankfurt104:72
- 11.03Trento90:94
- 11.02Hapoel Jerusalem83:80
- 04.02away · Manresa91:75
- 06.10Maxima Roma92:77
- 30.09away · Tenerife75:82
- 08.04away · JL Bourg78:94
- 03.04JL Bourg73:76
- 31.03away · JL Bourg99:71
Head to head
- 29.01.2025Turk Telekom — Venezia84:81
- 13.11.2024Venezia — Turk Telekom75:67
Table
Group B
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Venezia | 1 | 1 | .500 | — |
| 2, Playoffs | Maxima Roma | 1 | 1 | .500 | — |
| 3, Playoffs | London Lions | 1 | 1 | .500 | — |
| 4, Playoffs | Turk Telekom | 1 | 1 | .500 | — |
| 5 | Tenerife | 1 | 1 | .500 | — |
| 6 | Siauliai | 1 | 1 | .500 | — |
| 7 | Frankfurt | 1 | 1 | .500 | — |
| 8 | Cluj-Napoca | 1 | 1 | .500 | — |
EuroCup on the same day
- 45552The model's most likely outcome: 2Model's score: —172.7
- 36642The model's most likely outcome: 2Model's score: —162.8
- 55451The model's most likely outcome: 1Model's score: —170.0
- 64361The model's most likely outcome: 1Model's score: —167.6
- 34662The model's most likely outcome: 2Model's score: —172.6
- 49512The model's most likely outcome: 2Model's score: —170.6
- 54461The model's most likely outcome: 1Model's score: —169.6
- 22782The model's most likely outcome: 2Model's score: —170.7
This is the model’s statistical estimate, not a recommendation. An outcome at 51% will not happen in roughly 49 matches out of 100. How to read probabilities →