Lokomotiv Kuban vs Unics Kazan prediction
Lokomotiv Kuban
33
29
26
19
Unics Kazan
21
23
16
20
All predictions
2 picks graded · Average confidence 71%Model is the model’s estimated win chance for the pick, Market the win chance the odds gave it when the pick was published, and Edge the difference between the two.
The score the model expects. An estimate, not a bet we publish.
Lokomotiv Kuban10778Unics Kazan8082Lokomotiv Kuban10778Unics Kazan8082Total 160 Margin UNI by 4 Win UNI 62% Actual 187 · LOK won
Lokomotiv Kuban vs Unics Kazan
Lokomotiv Kuban
Unics Kazan
Head-to-head
Head-to-head record: Lokomotiv Kuban 0, Unics Kazan 4.
- Average total 149.5 points per meeting
- Overtime 0 of 4 meetings went to overtime
- Last meeting UNI by 8 Mar 29, 2026
Meetings
- Mar 29, 2026 VTB United League Unics Kazan 75–67 Lokomotiv Kuban 142 pts
- Feb 8, 2026 VTB United League Lokomotiv Kuban 79–82 Unics Kazan 161 pts
- Jan 4, 2026 VTB United League Lokomotiv Kuban 77–81 Unics Kazan 158 pts
- Oct 19, 2025 VTB United League Unics Kazan 74–63 Lokomotiv Kuban 137 pts
Last five games
Lokomotiv Kuban
4-1 - Oct 25: Samara 62, Lokomotiv Kuban 92. Won. Odds: Samara 12.00, Lokomotiv Kuban 1.01.
- Oct 18: Lokomotiv Kuban 73, Zenit Petersburg 72. Won. Odds: Lokomotiv Kuban 1.45, Zenit Petersburg 2.55.
- Oct 14: Lokomotiv Kuban 96, Saratov 74. Won. Odds: Lokomotiv Kuban 1.03, Saratov 9.20.
- Oct 11: CSKA Moscow 87, Lokomotiv Kuban 84. Lost. Odds: CSKA Moscow 1.22, Lokomotiv Kuban 3.90.
- Oct 7: FMP Beograd 76, Lokomotiv Kuban 90. Won. Odds: FMP Beograd 1.80, Lokomotiv Kuban 2.05.
Unics Kazan
5-0 - Oct 25: Uralmash Ekaterinburg 68, Unics Kazan 69. Won. Odds: Uralmash Ekaterinburg 3.10, Unics Kazan 1.39.
- Oct 22: Unics Kazan 83, MBA Moscow 56. Won. Odds: Unics Kazan 1.03, MBA Moscow 8.40.
- Oct 14: Unics Kazan 95, Uralmash Ekaterinburg 84. Won. Odds: Unics Kazan 1.07, Uralmash Ekaterinburg 6.80.
- Oct 7: Samara 62, Unics Kazan 117. Won. Odds: Samara 12.00, Unics Kazan –.
- Oct 4: Unics Kazan 95, Zenit Petersburg 60. Won. Odds: Unics Kazan 1.69, Zenit Petersburg 2.05.
Results before this game, all competitions: the home side on top, the team in bold, the moneyline odds each side had; the winner’s are highlighted.
Key insights
- 6-game winning streak for Unics Kazan coming into this game.
- 3-game winning streak for Lokomotiv Kuban coming into this game.
- Odds moved: the odds on Unics Kazan dropped from 1.83 to 1.65 since they were first published.
- 4-0 in the last 4 meetings for Unics Kazan.
- 149.5 points per meeting across the last 4 head-to-head games.
How the odds moved
| Market | Open | Now |
|---|---|---|
| LOK moneyline | 1.83 | moved up 2.03 |
| UNI moneyline | 1.83 | moved down 1.65 |
Opening and current odds from the bookmakers we track; the spread is shown from the home team’s side. The arrow shows which way the odds moved.
VTB United League standings
Regular Season
| # | Team | GP | W | L | Pct | PF | PA | +/− |
|---|---|---|---|---|---|---|---|---|
| 1 |  CSKA Moscow |
7 | 7 | 0 | 1.000 | 643 | 493 | +150 |
| 2 | Lokomotiv Kuban |
7 | 6 | 1 | .857 | 625 | 528 | +97 |
| 3 |  Zenit Petersburg |
8 | 6 | 2 | .750 | 690 | 615 | +75 |
| 4 | Unics Kazan |
7 | 5 | 2 | .714 | 675 | 541 | +134 |
| 5 |  Parma Perm |
6 | 3 | 3 | .500 | 524 | 520 | +4 |
| 6 |  Uralmash Ekaterinburg |
7 | 3 | 4 | .429 | 570 | 592 | −22 |
| 7 |  Saratov |
8 | 3 | 5 | .375 | 593 | 706 | −113 |
| 8 |  MBA Moscow |
6 | 2 | 4 | .333 | 490 | 541 | −51 |
| 9 |  Dynamo Vladivostok |
7 | 2 | 5 | .286 | 600 | 656 | −56 |
| 10 |  Enisey |
6 | 1 | 5 | .167 | 473 | 510 | −37 |
| 11 |  Samara |
7 | 0 | 7 | .000 | 487 | 668 | −181 |
- Winners stage
- Losers stage
Pct percentage of games won — the table is sorted by it. W / L wins and losses, GP games played. PF / PA points scored and allowed this season. +/− points scored minus points allowed.
Lokomotiv Kuban host Unics Kazan in the VTB United League on Sunday, November 1, 2026. Who wins, by how many points, and how many points in total — our moneyline, spread and over/under picks come from one model, and every pick is marked won or lost for everyone to see. The model uses predicted pace and scoring, recent form, the standings and the bookmakers’ current odds.