Zawiercie — Olsztynbeta
☆ Save matchModel prediction for 4 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
Zawiercie are clear favourites: 95% against 5% for the opponent.
The most likely score in sets is 3:0. The model expects about 157 points in the match. First set: Zawiercie — 83%.
Over 145.5 points — 48%.
Why
- Elo rating by sets: Zawiercie 1776, Olsztyn 1484; chance to win a single set: Zawiercie 83%.
Facts
- Last 5 meetings: Zawiercie 5 wins, Olsztyn 0.
Probabilities
| First set: Zawiercie | 83% |
| First set: Olsztyn | 17% |
| Points over 145.5 | 48% |
| Points under 145.5 | 52% |
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 Zawiercie
- Total sets
- All points totals
- Teams’ Elo ratings by sets
Form
- 17.05away · Perugia0:3
- 16.05Ziraat Bankasi3:1
- 10.05Lublin3:1
- 06.05away · Lublin3:1
- 02.05Lublin0:3
- 20.04Belchatow2:3
- 17.04away · Belchatow2:3
- 14.04Belchatow3:2
- 04.04Rzeszow0:3
- 28.03away · Rzeszow0:3
Head to head
- 28.02.2026Zawiercie — Olsztyn3:1
- 18.11.2025Olsztyn — Zawiercie2:3
- 24.01.2025Olsztyn — Zawiercie1:3
- 18.10.2024Zawiercie — Olsztyn3:1
- 13.01.2024Zawiercie — Olsztyn3:2
PlusLiga on the same day
- GdanskCuprum Gorzowpreliminary74261The model's most likely outcome: 1Model's score: 3:1184.5
- Kedzierzyn-KozleRzeszowpreliminary57431The model's most likely outcome: 1Model's score: 3:1188.5
- LublinBelchatowpreliminary84161The model's most likely outcome: 1Model's score: 3:0178.5
- Norwid CzestochowaBarkompreliminary59411The model's most likely outcome: 1Model's score: 3:1188.5
- Projekt WarszawaSlepsk Suwalkipreliminary88121The model's most likely outcome: 1Model's score: 3:0173.5
This is the model’s statistical estimate, not a recommendation. An outcome at 95% will not happen in roughly 5 matches out of 100. How to read probabilities →