Cluj-Napoca — Maxima Roma
☆ Save matchModel prediction for 18 November
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 slightly stronger: 56% against 44%.
The model expects a score around 91:88 — 179 points in total.
Over 178.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Cluj-Napoca −4.6, Maxima Roma −4.0 points in regulation.
Facts
- League table: Cluj-Napoca — No. 21, 2–3; Maxima Roma — No. 18, 2–3.
Probabilities
| Expected points (incl. overtime): Cluj-Napoca — Maxima Roma | 90.6–88.5 | |
| Total over 178.5 (incl. OT) | 50% | |
| Total under 178.5 (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
- Cluj-Napoca points
- Maxima Roma points
- Regulation 1X2
- Offence and defence strength
Form
- 27.10away · Frankfurt97:113
- 21.10London Lions72:89
- 14.10away · Siauliai93:75
- 07.10Venezia98:92
- 30.09away · Maxima Roma55:89
- 28.10away · Siauliai93:98
- 21.10Venezia90:79
- 14.10away · Tenerife71:96
- 06.10away · Turk Telekom77:92
- 30.09Cluj-Napoca89:55
Head to head
- 30.09.2026Maxima Roma — Cluj-Napoca89:55
Table
Group B
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Tenerife | 4 | 1 | .800 | — |
| 2, Playoffs | Frankfurt | 3 | 2 | .600 | 1 |
| 3, Playoffs | Siauliai | 3 | 2 | .600 | 1 |
| 4, Playoffs | London Lions | 3 | 2 | .600 | 1 |
| 5 | Maxima Roma | 2 | 3 | .400 | 2 |
| 6 | Cluj-Napoca | 2 | 3 | .400 | 2 |
| 7 | Venezia | 2 | 3 | .400 | 2 |
| 8 | Turk Telekom | 1 | 4 | .200 | 3 |
EuroCup on the same day
- TortonaRigas Zellipreliminary58421The model's most likely outcome: 1Model's score: —168.8
- Cedevita OlimpijaSan Pablo Burgospreliminary69311The model's most likely outcome: 1Model's score: —161.3
- ArisLe Manspreliminary70301The model's most likely outcome: 1Model's score: —165.7
- BuducnostSlask Wroclawpreliminary86141The model's most likely outcome: 1Model's score: —176.9
- ChemnitzTofaspreliminary54461The model's most likely outcome: 1Model's score: —166.6
- FrankfurtVeneziapreliminary40602The model's most likely outcome: 2Model's score: —174.1
- JL BourgBasket Napolipreliminary54461The model's most likely outcome: 1Model's score: —168.0
- KK BosnaLietkabelispreliminary63371The model's most likely outcome: 1Model's score: —159.2
This is the model’s statistical estimate, not a recommendation. An outcome at 56% will not happen in roughly 44 matches out of 100. How to read probabilities →