Russian Volleyball Super League · Friday, 16 October, (UTC+3)

Gorky N. Novgorod — Surgut regionbeta

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Model prediction for 16 October

Gorky N. Novgorod63%
Surgut region37%
Model estimate at (UTC+3)

In short

Gorky N. Novgorod are clear favourites: 63% against 37% for the opponent.

The most likely score in sets is 3:1. The model expects about 187 points in the match. First set: Gorky N. Novgorod — 58%.

Over 187.5 points — 50%.

Why

  • Elo rating by sets: Gorky N. Novgorod 1428, Surgut region 1395; chance to win a single set: Gorky N. Novgorod 58%.

Facts

  • Last 5 meetings: Gorky N. Novgorod 2 wins, Surgut region 3.

Probabilities

First set: Gorky N. Novgorod58%
First set: Surgut region42%
Points over 187.550%
Points under 187.550%

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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 Gorky N. Novgorod
  • Total sets
  • All points totals
  • Teams’ Elo ratings by sets
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Form

Gorky N. Novgorod

  • 21.03away · Dinamo-Lo0:3
  • 18.03Dinamo-Lo2:3
  • 14.03Surgut region3:1
  • 08.03away · Ufa2:3
  • 02.03Yaroslavl1:3

Surgut region

  • 21.03away · Krasnoyarsk0:3
  • 18.03Krasnoyarsk0:3
  • 14.03away · Gorky N. Novgorod1:3
  • 07.03Din. Moscow0:3
  • 01.03away · Novokuybyshevsk0:3

Head to head

  • 14.03.2026Gorky N. Novgorod — Surgut region3:1
  • 26.12.2025Surgut region — Gorky N. Novgorod2:3
  • 27.02.2025Surgut region — Gorky N. Novgorod3:2
  • 24.11.2024Gorky N. Novgorod — Surgut region1:3
  • 26.01.2024Gorky N. Novgorod — Surgut region1:3

Full record: 6 meetings →

Russian Super League on the same day

  • 2The model's most likely outcome: 2Model's score: 1:3184.5
  • 2The model's most likely outcome: 2Model's score: 0:3178.5
  • 1The model's most likely outcome: 1Model's score: 3:0142.5
  • 2The model's most likely outcome: 2Model's score: 1:3188.5

This is the model’s statistical estimate, not a recommendation. An outcome at 63% will not happen in roughly 37 matches out of 100. How to read probabilities →