EuroCup (basketball) · Wednesday, 21 October, MSK
Chemnitz — Slask Wroclaw
☆ Save matchModel prediction for 21 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
Chemnitz are clear favourites: 72% against 28% for the opponent.
The model expects a score around 88:81 — 168 points in total.
Over 167.5 points (incl. overtime) — 51%.
Why
- Team strength against the league average: Chemnitz −3.5, Slask Wroclaw −8.3 points in regulation.
Probabilities
| Expected points (incl. overtime): Chemnitz — Slask Wroclaw | 87.8–80.5 | |
| Total over 167.5 (incl. OT) | 51% | |
| Total under 167.5 (incl. OT) | 49% |
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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
- Chemnitz points
- Slask Wroclaw points
- Regulation 1X2
- Offence and defence strength
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Form
- 13.10away · Trento88:80
- 07.10Neptunas93:84
- 29.09away · Tofas69:82
- 11.03away · Cedevita Olimpija65:73
- 11.02away · Turk Telekom62:79
- 06.10away · Trento94:81
- 30.09Buducnost75:99
- 10.02Cedevita Olimpija81:114
- 03.02away · Bahcesehir Kol.82:80
- 28.01away · Hamburg96:99
Head to head
No previous meetings in the data.
Table
Group C
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Basket Napoli | 2 | 0 | 1.000 | — |
| 2, Playoffs | Tofas | 2 | 0 | 1.000 | — |
| 3, Playoffs | Chemnitz | 2 | 1 | .667 | 0.5 |
| 4, Playoffs | Buducnost | 1 | 1 | .500 | 1 |
| 5 | Slask Wroclaw | 1 | 1 | .500 | 1 |
| 6 | Trento | 1 | 2 | .333 | 1.5 |
| 7 | Neptunas | 1 | 2 | .333 | 1.5 |
| 8 | JL Bourg | 0 | 3 | .000 | 2.5 |
EuroCup on the same day
- Cluj-NapocaLondon Lionspreliminary62381The model's most likely outcome: 1Model's score: —167.8
- Cedevita OlimpijaLe Manspreliminary82181The model's most likely outcome: 1Model's score: —160.9
- PAOKUlmpreliminary66341The model's most likely outcome: 1Model's score: —174.9
- TortonaSan Pablo Burgospreliminary58421The model's most likely outcome: 1Model's score: —171.3
- FrankfurtTenerifepreliminary47532The model's most likely outcome: 2Model's score: —167.5
- JL BourgTrentopreliminary73271The model's most likely outcome: 1Model's score: —161.1
- KK BosnaBahcesehir Kol.preliminary25752The model's most likely outcome: 2Model's score: —160.1
- Basket NapoliTofaspreliminary62381The model's most likely outcome: 1Model's score: —167.1
This is the model’s statistical estimate, not a recommendation. An outcome at 72% will not happen in roughly 28 matches out of 100. How to read probabilities →