EuroCup (basketball) · Wednesday, 28 October, MSK
Chemnitz — JL Bourg
☆ Save matchModel prediction for 28 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
Evenly matched: Chemnitz 49%, JL Bourg 51%.
The model expects a score around 80:80 — 160 points in total.
Over 159.5 points (incl. overtime) — 51%.
Why
- Team strength against the league average: Chemnitz −3.5, JL Bourg −0.7 points in regulation.
Probabilities
| Expected points (incl. overtime): Chemnitz — JL Bourg | 80.1–80.4 | |
| Total over 159.5 (incl. OT) | 51% | |
| Total under 159.5 (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
- JL Bourg 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
- 13.10away · Neptunas89:93
- 06.10Tofas82:89
- 30.09away · Basket Napoli76:84
- 28.04Besiktas73:71
- 22.04away · Besiktas72:60
Head to head
- 20.01.2026Chemnitz — JL Bourg88:82
- 04.11.2025JL Bourg — Chemnitz85:82
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
- SiauliaiMaxima Romapreliminary41592The model's most likely outcome: 2Model's score: —160.6
- NeptunasBasket Napolipreliminary39612The model's most likely outcome: 2Model's score: —176.4
- ArisCedevita Olimpijapreliminary43572The model's most likely outcome: 2Model's score: —159.4
- Slask WroclawTofaspreliminary38622The model's most likely outcome: 2Model's score: —172.3
- TortonaRostockpreliminary62381The model's most likely outcome: 1Model's score: —170.0
- Le MansHapoel Jerusalempreliminary17832The model's most likely outcome: 2Model's score: —168.1
- London LionsTurk Telekompreliminary33672The model's most likely outcome: 2Model's score: —156.2
- San Pablo BurgosRigas Zellipreliminary58421The model's most likely outcome: 1Model's score: —171.4
This is the model’s statistical estimate, not a recommendation. An outcome at 51% will not happen in roughly 49 matches out of 100. How to read probabilities →