London Lions — Turk Telekom
☆ Save matchModel prediction for 28 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
Turk Telekom are clear favourites: 67% against 33% for the opponent.
The model expects a score around 75:81 — 156 points in total.
Over 155.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: London Lions −4.0, Turk Telekom +4.1 points in regulation.
Facts
- League table: London Lions — No. 14, 1–1; Turk Telekom — No. 15, 1–1.
- Last 5 meetings: London Lions 1 win, Turk Telekom 4.
Probabilities
| Expected points (incl. overtime): London Lions — Turk Telekom | 75.3–80.9 | |
| Total over 155.5 (incl. OT) | 50% | |
| Total under 155.5 (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
- London Lions points
- Turk Telekom points
- Regulation 1X2
- Offence and defence strength
Form
- 06.10Tenerife89:77
- 30.09away · Siauliai71:74
- 11.02Lietkabelis58:66
- 04.02away · JL Bourg85:86
- 28.01away · Panionios78:79
- 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
- 14.01.2026Turk Telekom — London Lions88:63
- 29.10.2025London Lions — Turk Telekom77:89
- 06.03.2024London Lions — Turk Telekom100:77
- 22.03.2023London Lions — Turk Telekom84:89
- 14.12.2022Turk Telekom — London Lions102:74
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
- SiauliaiMaxima Romapreliminary41592The model's most likely outcome: 2Model's score: —160.6
- NeptunasBasket Napolipreliminary39612The model's most likely outcome: 2Model's score: —176.4
- ArisCedevita Olimpijapreliminary43572The model's most likely outcome: 2Model's score: —159.4
- Slask WroclawTofaspreliminary38622The model's most likely outcome: 2Model's score: —172.3
- ChemnitzJL Bourgpreliminary49512The model's most likely outcome: 2Model's score: —160.4
- TortonaRostockpreliminary62381The model's most likely outcome: 1Model's score: —170.0
- Le MansHapoel Jerusalempreliminary17832The model's most likely outcome: 2Model's score: —168.1
- San Pablo BurgosRigas Zellipreliminary58421The model's most likely outcome: 1Model's score: —171.4
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 →