Russian Volleyball Super League · Saturday, 31 October, (UTC+3)
Zenit St. Petersburg — Novyi Urengoybeta
☆ Save matchModel prediction for 31 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
Zenit St. Petersburg are clear favourites: 92% against 8% for the opponent.
The most likely score in sets is 3:0. The model expects about 151 points in the match. First set: Zenit St. Petersburg — 80%.
Over 151.5 points — 50%.
Why
- Elo rating by sets: Zenit St. Petersburg 1694, Novyi Urengoy 1446; chance to win a single set: Zenit St. Petersburg 80%.
Facts
- Last 5 meetings: Zenit St. Petersburg 3 wins, Novyi Urengoy 2.
Probabilities
| First set: Zenit St. Petersburg | 80% |
| First set: Novyi Urengoy | 20% |
| Points over 151.5 | 50% |
| Points under 151.5 | 50% |
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The chance of every score in sets, set handicaps and totals, every points total, the teams’ ratings and how the estimate moved before the match.
- Score in sets
- Sets handicap Zenit St. Petersburg
- Total sets
- All points totals
- Teams’ Elo ratings by sets
Form
- 02.05Novosibirsk0:3
- 28.04away · Novosibirsk0:3
- 26.04away · Novosibirsk3:0
- 22.04Novosibirsk3:2
- 20.04Novosibirsk0:3
- 21.03away · Novokuybyshevsk3:2
- 18.03Novokuybyshevsk1:3
- 12.03away · MGTU Moscow3:1
- 06.03Kemerovo0:3
- 28.02away · Zenit St. Petersburg0:3
Head to head
- 28.02.2026Zenit St. Petersburg — Novyi Urengoy3:0
- 14.12.2025Novyi Urengoy — Zenit St. Petersburg3:1
- 15.12.2024Zenit St. Petersburg — Novyi Urengoy3:0
- 12.09.2024Novyi Urengoy — Zenit St. Petersburg1:3
- 24.02.2024Novyi Urengoy — Zenit St. Petersburg3:1
Russian Super League on the same day
- YaroslavlBelgorodpreliminary7932The model's most likely outcome: 2Model's score: 0:3149.5
- NovokuybyshevskZenit Kazanpreliminary20802The model's most likely outcome: 2Model's score: 0:3180.5
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 →