Buducnost — Slask Wroclaw
☆ 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
Buducnost are clear favourites: 86% against 14% for the opponent.
The model expects a score around 96:81 — 177 points in total.
Over 176.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Buducnost +0.6, Slask Wroclaw −10.9 points in regulation.
Facts
- League table: Buducnost — No. 16, 3–3; Slask Wroclaw — No. 28, 1–4.
- Slask Wroclaw: 3 defeats in a row.
- Last 5 meetings: Buducnost 5 wins, Slask Wroclaw 0.
Probabilities
| Expected points (incl. overtime): Buducnost — Slask Wroclaw | 95.5–81.4 | |
| Total over 176.5 (incl. OT) | 50% | |
| Total under 176.5 (incl. OT) | 50% |
231 more model lines in Premium
All totals and handicaps, team totals, the regulation 1X2, the teams’ offence and defence, every factor and how the estimate moved before kick-off.
- All handicaps
- All totals
- Buducnost points
- Slask Wroclaw points
- Regulation 1X2
- Offence and defence strength
Form
- 03.11Chemnitz96:84
- 27.10away · Trento92:94
- 20.10Neptunas104:89
- 14.10away · Tofas85:90
- 06.10Basket Napoli75:93
- 28.10Tofas74:90
- 21.10away · Chemnitz67:95
- 14.10Basket Napoli82:86
- 06.10away · Trento94:81
- 30.09Buducnost75:99
Head to head
- 30.09.2026Slask Wroclaw — Buducnost75:99
- 20.12.2023Slask Wroclaw — Buducnost79:80
- 17.10.2023Buducnost — Slask Wroclaw103:89
- 18.01.2023Buducnost — Slask Wroclaw82:71
- 18.10.2022Slask Wroclaw — Buducnost58:98
Table
Group C
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Basket Napoli | 6 | 0 | 1.000 | — |
| 2, Playoffs | Tofas | 5 | 1 | .833 | 1 |
| 3, Playoffs | Chemnitz | 4 | 2 | .667 | 2 |
| 4, Playoffs | Buducnost | 3 | 3 | .500 | 3 |
| 5 | Trento | 2 | 4 | .333 | 4 |
| 6 | JL Bourg | 1 | 4 | .200 | 4.5 |
| 7 | Slask Wroclaw | 1 | 4 | .200 | 4.5 |
| 8 | Neptunas | 1 | 5 | .167 | 5 |
EuroCup on the same day
- TortonaRigas Zellipreliminary58421The model's most likely outcome: 1Model's score: —168.8
- Cluj-NapocaMaxima Romapreliminary56441The model's most likely outcome: 1Model's score: —179.0
- Cedevita OlimpijaSan Pablo Burgospreliminary69311The model's most likely outcome: 1Model's score: —161.3
- ArisLe Manspreliminary70301The model's most likely outcome: 1Model's score: —165.7
- ChemnitzTofaspreliminary54461The model's most likely outcome: 1Model's score: —166.6
- FrankfurtVeneziapreliminary40602The model's most likely outcome: 2Model's score: —174.1
- JL BourgBasket Napolipreliminary54461The model's most likely outcome: 1Model's score: —168.0
- KK BosnaLietkabelispreliminary63371The model's most likely outcome: 1Model's score: —159.2
This is the model’s statistical estimate, not a recommendation. An outcome at 86% will not happen in roughly 14 matches out of 100. How to read probabilities →