EuroCup (basketball) · Wednesday, 21 October, MSK
JL Bourg — Trento
☆ 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
JL Bourg are clear favourites: 74% against 26% for the opponent.
The model expects a score around 83:75 — 158 points in total.
Over 157.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: JL Bourg +0.2, Trento −5.3 points in regulation.
Probabilities
| Expected points (incl. overtime): JL Bourg — Trento | 83.1–75.1 | |
| Total over 157.5 (incl. OT) | 50% | |
| Total under 157.5 (incl. OT) | 50% |
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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
- JL Bourg points
- Trento points
- Regulation 1X2
- Offence and defence strength
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Form
- 13.10away · Neptunas89:93
- 06.10Tofas82:89
- 30.09away · Basket Napoli76:84
- 28.04Besiktas73:71
- 22.04away · Besiktas72:60
- 06.10Slask Wroclaw81:94
- 29.09away · Neptunas76:73
- 18.03away · Besiktas76:77
- 11.03away · Venezia94:90
- 10.02Ulm76:68
Head to head
- 09.12.2025JL Bourg — Trento73:91
- 01.10.2025Trento — JL Bourg48:79
- 13.12.2023JL Bourg — Trento79:67
- 10.10.2023Trento — JL Bourg72:79
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 | Buducnost | 1 | 1 | .500 | 1 |
| 4, Playoffs | Chemnitz | 1 | 1 | .500 | 1 |
| 5 | Slask Wroclaw | 1 | 1 | .500 | 1 |
| 6 | Trento | 1 | 1 | .500 | 1 |
| 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: —167.3
- Cedevita OlimpijaLe Manspreliminary82181The model's most likely outcome: 1Model's score: —160.7
- ChemnitzSlask Wroclawpreliminary69311The model's most likely outcome: 1Model's score: —167.1
- PAOKUlmpreliminary67331The model's most likely outcome: 1Model's score: —174.7
- TortonaSan Pablo Burgospreliminary59411The model's most likely outcome: 1Model's score: —171.5
- FrankfurtTenerifepreliminary47532The model's most likely outcome: 2Model's score: —167.6
- KK BosnaBahcesehir Kol.preliminary25752The model's most likely outcome: 2Model's score: —157.2
- Basket NapoliTofaspreliminary63371The model's most likely outcome: 1Model's score: —167.8
This is the model’s statistical estimate, not a recommendation. An outcome at 74% will not happen in roughly 26 matches out of 100. How to read probabilities →