VTB United League (basketball) · Saturday, 17 October, MSK
Enisey — CSKA Moscow
☆ Save matchModel prediction for 17 October
In short
CSKA Moscow are clear favourites: 92% against 8% for the opponent.
The model expects a score around 74:92 — 167 points in total.
Over 166.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Enisey −2.4, CSKA Moscow +17.3 points in regulation.
Probabilities
| Expected points (incl. overtime): Enisey — CSKA Moscow | 74.3–92.4 | |
| Total over 166.5 (incl. OT) | 50% | |
| Total under 166.5 (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
- Enisey points
- CSKA Moscow points
- Regulation 1X2
- Offence and defence strength
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Form
- 06.10Saratov72:74
- 27.09away · Lokomotiv Kuban66:81
- 03.05CSKA Moscow65:94
- 29.04away · CSKA Moscow67:85
- 27.04away · CSKA Moscow66:104
- 11.10Lokomotiv Kuban87:84
- 07.10Uralmash Ekaterinburg90:85
- 27.09away · MBA Moscow82:65
- 10.06away · Unics Kazan102:76
- 08.06away · Unics Kazan86:74
Head to head
- 03.05.2026Enisey — CSKA Moscow65:94
- 29.04.2026CSKA Moscow — Enisey85:67
- 27.04.2026CSKA Moscow — Enisey104:66
- 01.04.2026CSKA Moscow — Enisey103:70
- 28.01.2026Enisey — CSKA Moscow66:79
Table
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs: straight to the quarter-finals | CSKA Moscow | 3 | 0 | 1.000 | — |
| 2, Playoffs: straight to the quarter-finals | Unics Kazan | 3 | 1 | .750 | 0.5 |
| 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
- 90101The model's most likely outcome: 1Model's score: —175.6
- 8922The model's most likely outcome: 2Model's score: —165.0
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 →