Novosibirsk — Din. Moscowbeta
☆ Save matchModel prediction for 18 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
Din. Moscow are slightly stronger: 54% against 46%.
The most likely score in sets is 1:3. The model expects about 189 points in the match. The first set is close to even: 48% to 52%.
Over 188.5 points — 50%.
Why
- The set ratings are nearly level: Novosibirsk 1703, Din. Moscow 1750.
Facts
- Last 5 meetings: Novosibirsk 1 win, Din. Moscow 4.
Probabilities
| First set: Novosibirsk | 48% |
| First set: Din. Moscow | 52% |
| Points over 188.5 | 50% |
| Points under 188.5 | 50% |
66 more model lines in Premium
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 Novosibirsk
- Total sets
- All points totals
- Teams’ Elo ratings by sets
Form
- 30.10away · Orenburg3:1
- 25.10away · Zenit St. Petersburg3:1
- 21.10away · Surgut region0:3
- 18.10away · Novyi Urengoy3:1
- 02.05away · Zenit St. Petersburg3:0
Head to head
- 11.02.2026Novosibirsk — Din. Moscow1:3
- 25.11.2025Din. Moscow — Novosibirsk3:1
- 20.12.2024Din. Moscow — Novosibirsk3:1
- 18.09.2024Novosibirsk — Din. Moscow1:3
- 27.01.2024Novosibirsk — Din. Moscow3:2
Russian Super League on the same day
- KrasnoyarskNovyi Urengoypreliminary63371The model's most likely outcome: 1Model's score: 3:1187.5
- KemerovoMGTU Moscowpreliminary82181The model's most likely outcome: 1Model's score: 3:0179.5
- NovokuybyshevskSurgut regionpreliminary83171The model's most likely outcome: 1Model's score: 3:0178.5
- YaroslavlGorky N. Novgorodpreliminary41592The model's most likely outcome: 2Model's score: 1:3188.5
- Dinamo-LoZenit St. Petersburgpreliminary22782The model's most likely outcome: 2Model's score: 0:3182.5
This is the model’s statistical estimate, not a recommendation. An outcome at 54% will not happen in roughly 46 matches out of 100. How to read probabilities →