Tauron Liga (Polish women's volleyball) · Saturday, 31 October, (UTC+3)
Wroclaw (W) — Opole (W)beta
☆ 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
Opole (W) are clear favourites: 93% against 7% for the opponent.
The most likely score in sets is 0:3. The model expects about 147 points in the match. First set: Opole (W) — 80%.
Over 146.5 points — 50%.
Why
- Elo rating by sets: Wroclaw (W) 1341, Opole (W) 1651; chance to win a single set: Opole (W) 80%.
Facts
- Wroclaw (W): 5 defeats in a row.
- Last 5 meetings: Wroclaw (W) 0 wins, Opole (W) 5.
Probabilities
| First set: Wroclaw (W) | 20% |
| First set: Opole (W) | 80% |
| Points over 146.5 | 50% |
| Points under 146.5 | 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 Wroclaw (W)
- Total sets
- All points totals
- Teams’ Elo ratings by sets
Form
- 13.10away · Radom (W)2:3
- 04.10Mielec (W)2:3
- 21.03Mogilno (W)1:3
- 14.03away · LKS Lodz (W)1:3
- 09.03Opole (W)0:3
- 11.10Bielsko-Biala (W)3:0
- 02.10Chemik Police (W)2:3
- 25.04away · Bielsko-Biala (W)3:2
- 21.04Bielsko-Biala (W)0:3
- 18.04away · Bielsko-Biala (W)3:0
Head to head
- 09.03.2026Wroclaw (W) — Opole (W)0:3
- 09.12.2025Opole (W) — Wroclaw (W)3:0
- 04.04.2025Opole (W) — Wroclaw (W)3:1
- 25.03.2025Wroclaw (W) — Opole (W)2:3
- 16.03.2025Opole (W) — Wroclaw (W)3:0
Tauron Liga (W) on the same day
- Bydgoszcz (W)Budowlani Lodz (W)preliminary21792The model's most likely outcome: 2Model's score: 0:3177.5
- Mogilno (W)MKS Kalisz (W)preliminary61391The model's most likely outcome: 1Model's score: 3:1183.5
- Rzeszow (W)Bielsko-Biala (W)preliminary85151The model's most likely outcome: 1Model's score: 3:0172.5
This is the model’s statistical estimate, not a recommendation. An outcome at 93% will not happen in roughly 7 matches out of 100. How to read probabilities →