Dynamo Moscow (W) — Krasnodar (W)beta
☆ Save matchModel prediction for 25 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
Dynamo Moscow (W) are clear favourites: 88% against 12% for the opponent.
The most likely score in sets is 3:0. The model expects about 169 points in the match. First set: Dynamo Moscow (W) — 75%.
Over 169.5 points — 50%.
Why
- Elo rating by sets: Dynamo Moscow (W) 1650, Krasnodar (W) 1451; chance to win a single set: Dynamo Moscow (W) 75%.
Facts
- Dynamo Moscow (W): 5 wins in a row.
- Last 5 meetings: Dynamo Moscow (W) 5 wins, Krasnodar (W) 0.
Probabilities
| First set: Dynamo Moscow (W) | 75% |
| First set: Krasnodar (W) | 25% |
| Points over 169.5 | 50% |
| Points under 169.5 | 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 Dynamo Moscow (W)
- Total sets
- All points totals
- Teams’ Elo ratings by sets
Form
- 10.10Minchanka (W)3:0
- 04.10Metar Chelyabinsk (W)3:0
- 11.04Uralochka-NTMK (W)3:1
- 07.04away · Uralochka-NTMK (W)3:2
- 05.04away · Uralochka-NTMK (W)3:2
- 09.10Dynamo Kazan (W)0:3
- 04.10away · Kaliningrad (W)1:3
- 04.03away · Kaliningrad (W)3:0
- 01.03St. Petersburg (W)3:0
- 22.02away · Saratov (W)0:3
Head to head
- 26.12.2025Krasnodar (W) — Dynamo Moscow (W)1:3
- 14.10.2025Dynamo Moscow (W) — Krasnodar (W)3:1
- 23.12.2024Dynamo Moscow (W) — Krasnodar (W)3:0
- 26.09.2024Krasnodar (W) — Dynamo Moscow (W)2:3
- 16.02.2024Krasnodar (W) — Dynamo Moscow (W)0:3
Russian Super League (W) on the same day
- St. Petersburg (W)Metar Chelyabinsk (W)preliminary84161The model's most likely outcome: 1Model's score: 3:0173.5
- Tulitsa (W)Dynamo Kazan (W)preliminary4962The model's most likely outcome: 2Model's score: 0:3139.5
This is the model’s statistical estimate, not a recommendation. An outcome at 88% will not happen in roughly 12 matches out of 100. How to read probabilities →