Cluj-Napoca — London Lions
☆ Save matchModel prediction for 21 October
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 clear favourites: 67% against 33% for the opponent.
The model expects a score around 87:81 — 167 points in total.
Over 166.5 points (incl. overtime) — 51%.
Why
- Team strength against the league average: Cluj-Napoca −1.0, London Lions −4.2 points in regulation.
Facts
- League table: Cluj-Napoca — No. 10, 2–1; London Lions — No. 13, 1–1.
Probabilities
| Expected points (incl. overtime): Cluj-Napoca — London Lions | 86.5–80.9 | |
| Total over 166.5 (incl. OT) | 51% | |
| Total under 166.5 (incl. OT) | 49% |
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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
- London Lions points
- Regulation 1X2
- Offence and defence strength
Form
- 14.10away · Siauliai93:75
- 07.10Venezia98:92
- 30.09away · Maxima Roma55:89
- 17.03away · Bahcesehir Kol.72:75
- 11.03away · Buducnost100:82
- 06.10Tenerife89:77
- 30.09away · Siauliai71:74
- 11.02Lietkabelis58:66
- 04.02away · JL Bourg85:86
- 28.01away · Panionios78:79
Head to head
- 13.03.2024Cluj-Napoca — London Lions79:91
Table
Group B
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Cluj-Napoca | 2 | 1 | .667 | — |
| 2, Playoffs | Venezia | 1 | 1 | .500 | 0.5 |
| 3, Playoffs | London Lions | 1 | 1 | .500 | 0.5 |
| 4, Playoffs | Tenerife | 1 | 1 | .500 | 0.5 |
| 5 | Turk Telekom | 1 | 1 | .500 | 0.5 |
| 6 | Maxima Roma | 1 | 1 | .500 | 0.5 |
| 7 | Frankfurt | 1 | 1 | .500 | 0.5 |
| 8 | Siauliai | 1 | 2 | .333 | 1 |
EuroCup on the same day
- Cedevita OlimpijaLe Manspreliminary82181The model's most likely outcome: 1Model's score: —160.8
- ChemnitzSlask Wroclawpreliminary71291The model's most likely outcome: 1Model's score: —168.3
- PAOKUlmpreliminary66341The model's most likely outcome: 1Model's score: —174.9
- TortonaSan Pablo Burgospreliminary58421The model's most likely outcome: 1Model's score: —171.3
- FrankfurtTenerifepreliminary46542The model's most likely outcome: 2Model's score: —167.5
- JL BourgTrentopreliminary73271The model's most likely outcome: 1Model's score: —161.1
- KK BosnaBahcesehir Kol.preliminary24762The model's most likely outcome: 2Model's score: —160.1
- Basket NapoliTofaspreliminary62381The model's most likely outcome: 1Model's score: —167.1
This is the model’s statistical estimate, not a recommendation. An outcome at 67% will not happen in roughly 33 matches out of 100. How to read probabilities →