London Lions — Venezia
☆ Save matchModel prediction for 10 November
In short
London Lions are slightly stronger: 54% against 46%.
The model expects a score around 79:78 — 156 points in total.
Over 155.5 points (incl. overtime) — 51%.
Why
- Team strength against the league average: London Lions −1.2, Venezia +0.2 points in regulation.
Facts
- League table: London Lions — No. 14, 3–2; Venezia — No. 22, 2–3.
- Last 2 meetings: London Lions 2 wins, Venezia 0.
Probabilities
| Expected points (incl. overtime): London Lions — Venezia | 78.9–77.6 | |
| Total over 155.5 (incl. OT) | 51% | |
| Total under 155.5 (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
- London Lions points
- Venezia points
- Regulation 1X2
- Offence and defence strength
Form
- 28.10Turk Telekom79:61
- 21.10away · Cluj-Napoca89:72
- 15.10Frankfurt76:81
- 06.10Tenerife89:77
- 30.09away · Siauliai71:74
- 28.10away · Tenerife80:82
- 21.10away · Maxima Roma79:90
- 14.10Turk Telekom75:65
- 07.10away · Cluj-Napoca92:98
- 29.09Frankfurt104:72
Head to head
- 05.12.2023Venezia — London Lions91:95
- 04.10.2023London Lions — Venezia76:69
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
- 32682The model's most likely outcome: 2Model's score: —162.4
- 46542The model's most likely outcome: 2Model's score: —173.0
- 66341The model's most likely outcome: 1Model's score: —180.1
- 50501The model's most likely outcome: 1Model's score: —173.1
- 36642The model's most likely outcome: 2Model's score: —163.3
- 38622The model's most likely outcome: 2Model's score: —168.3
- 64361The model's most likely outcome: 1Model's score: —173.7
This is the model’s statistical estimate, not a recommendation. An outcome at 54% will not happen in roughly 46 matches out of 100. How to read probabilities →