Zenit Petersburg vs Parma Perm prediction
Zenit Petersburg
23
20
25
31
Parma Perm
19
25
19
22
All predictions
3 picks graded · Average confidence 53%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.
Zenit Petersburg9978Parma Perm8583Zenit Petersburg9978Parma Perm8583Total 161 Margin PAR by 5 Win PAR 61% Actual 184 · ZEN won
Zenit Petersburg vs Parma Perm
Zenit Petersburg
Parma Perm
Head-to-head
Head-to-head record: Zenit Petersburg 4, Parma Perm 0.
- Average total 155.8 points per meeting
- Over 162.5 0 of 4 against this game’s total
- Last meeting ZEN by 10 Mar 10, 2026
Meetings
- Mar 10, 2026 VTB United League Zenit Petersburg 74–64 Parma Perm 138 pts
- Feb 22, 2026 VTB United League Parma Perm 78–84 Zenit Petersburg 162 pts
- Jan 4, 2026 VTB United League Parma Perm 77–85 Zenit Petersburg 162 pts
- Oct 29, 2025 VTB United League Zenit Petersburg 82–79 Parma Perm 161 pts
Last five games
Zenit Petersburg
1-4 - Oct 4: Unics Kazan 95, Zenit Petersburg 60. Lost. Odds: Unics Kazan 1.69, Zenit Petersburg 2.05.
- Sep 25: Zenit Petersburg 92, Uralmash Ekaterinburg 68. Won. Odds: Zenit Petersburg 1.22, Uralmash Ekaterinburg 3.85.
- Sep 20: Igokea 83, Zenit Petersburg 79. Lost. Odds: Igokea 5.20, Zenit Petersburg 1.13.
- Sep 18: Zenit Petersburg 76, Anadolu Efes 100. Lost. Odds: Zenit Petersburg 3.00, Anadolu Efes 1.35.
- Sep 17: Unics Kazan 78, Zenit Petersburg 73. Lost. Odds: Unics Kazan 1.40, Zenit Petersburg 2.85.
Parma Perm
2-3 - Oct 2: Parma Perm 86, CSKA Moscow 62. Won. No odds on record.
- Sep 26: Unics Kazan 88, Parma Perm 97. Won. Odds: Unics Kazan 1.17, Parma Perm 4.50.
- May 3: Parma Perm 82, Lokomotiv Kuban 87. Lost. No odds on record.
- Apr 29: Lokomotiv Kuban 79, Parma Perm 76. Lost. No odds on record.
- Apr 27: Lokomotiv Kuban 93, Parma Perm 80. Lost. No odds on record.
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
- Rest advantage: 4 days off for Parma Perm, 2 for Zenit Petersburg.
- 4-0 in the last 4 meetings for Zenit Petersburg.
- +15.5 points at home — Zenit Petersburg averaged 94.0 at home and 78.5 away this season.
- 1-4 in the last five for Zenit Petersburg.
- 155.8 points per meeting across the last 4 head-to-head games; the over/under line is 162.5.
How the odds moved
| Market | Open | Now |
|---|---|---|
| ZEN moneyline | 1.53 | moved down 1.50 |
| PAR moneyline | 2.57 | moved up 2.66 |
| Total points | 163.5 | moved down 162.5 |
| ZEN spread | −4.5 | −4.5 |
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.
Zenit Petersburg host Parma Perm in the VTB United League on Wednesday, October 7, 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.