VTB United League (basketball) · Saturday, 17 October, MSK
Samara — Uralmash Ekaterinburg
☆ Save matchModel prediction for 17 October
In short
Uralmash Ekaterinburg are clear favourites: 92% against 8% for the opponent.
The model expects a score around 74:92 — 165 points in total.
Over 164.5 points (incl. overtime) — 51%.
Why
- Team strength against the league average: Samara −18.1, Uralmash Ekaterinburg +1.5 points in regulation.
Probabilities
| Expected points (incl. overtime): Samara — Uralmash Ekaterinburg | 73.5–91.5 | |
| Total over 164.5 (incl. OT) | 51% | |
| Total under 164.5 (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
- Samara points
- Uralmash Ekaterinburg points
- Regulation 1X2
- Offence and defence strength
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Form
- 07.10Unics Kazan62:117
- 04.10Dynamo Vladivostok84:98
- 26.09away · Saratov69:77
- 22.04away · MBA Moscow61:79
- 20.04Nizhny Novgorod76:78
- 10.10Parma Perm71:86
- 07.10away · CSKA Moscow85:90
- 30.09away · Saratov80:75
- 25.09away · Zenit Petersburg68:92
- 04.05Zenit Petersburg61:78
Head to head
- 15.04.2026Samara — Uralmash Ekaterinburg74:99
- 04.03.2026Samara — Uralmash Ekaterinburg69:73
- 18.01.2026Uralmash Ekaterinburg — Samara109:46
- 04.11.2025Uralmash Ekaterinburg — Samara79:72
- 12.02.2025Samara — Uralmash Ekaterinburg65:85
Table
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 8, Play-in round for the quarter-finals | MBA Moscow | 1 | 2 | .333 | 2 |
| 9, Play-in round for the quarter-finals | Uralmash Ekaterinburg | 1 | 3 | .250 | 2.5 |
| 10, Play-in round for the quarter-finals | Enisey | 0 | 2 | .000 | 2.5 |
| 11 | Samara | 0 | 3 | .000 | 3 |
VTB United League on the same day
- 8922The model's most likely outcome: 2Model's score: —166.7
- 90101The model's most likely outcome: 1Model's score: —175.6
This is the model’s statistical estimate, not a recommendation. An outcome at 92% will not happen in roughly 8 matches out of 100. How to read probabilities →