Russian Women's Volleyball Super League · Friday, 13 November, (UTC+3)
Saratov (W) — Tulitsa (W)beta
☆ Save matchModel prediction for 13 November
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
Saratov (W) are clear favourites: 62% against 38% for the opponent.
The most likely score in sets is 3:1. The model expects about 183 points in the match. First set: Saratov (W) — 57%.
Over 183.5 points — 50%.
Why
- Elo rating by sets: Saratov (W) 1476, Tulitsa (W) 1450; chance to win a single set: Saratov (W) 57%.
Facts
- Last 5 meetings: Saratov (W) 5 wins, Tulitsa (W) 0.
Probabilities
| First set: Saratov (W) | 57% |
| First set: Tulitsa (W) | 43% |
| Points over 183.5 | 50% |
| Points under 183.5 | 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 Saratov (W)
- Total sets
- All points totals
- Teams’ Elo ratings by sets
Form
- 31.10Krasnodar (W)0:3
- 24.10away · Odintsovo (W)0:3
- 18.10Minchanka (W)3:0
- 09.10away · Metar Chelyabinsk (W)3:1
- 03.10Yenisey (W)2:3
- 01.11away · Omsk (W)3:2
- 26.10Dynamo Kazan (W)0:3
- 16.10away · Kaliningrad (W)3:1
- 09.10Uralochka-NTMK (W)1:3
- 03.10St. Petersburg (W)1:3
Head to head
- 28.02.2026Tulitsa (W) — Saratov (W)2:3
- 05.12.2025Saratov (W) — Tulitsa (W)3:1
- 24.12.2024Saratov (W) — Tulitsa (W)3:0
- 26.09.2024Tulitsa (W) — Saratov (W)2:3
- 24.02.2024Saratov (W) — Tulitsa (W)3:0
Russian Super League (W) on the same day
- Yenisey (W)Leningradka (W)preliminary20802The model's most likely outcome: 2Model's score: 0:3177.5
- Minchanka (W)Odintsovo (W)preliminary10902The model's most likely outcome: 2Model's score: 0:3165.5
- Dynamo Kazan (W)St. Petersburg (W)preliminary9191The model's most likely outcome: 1Model's score: 3:0162.5
This is the model’s statistical estimate, not a recommendation. An outcome at 62% will not happen in roughly 38 matches out of 100. How to read probabilities →