EuroCup (basketball) · Tuesday, 10 November, (UTC+3)
JL Bourg — Buducnost
☆ Save matchModel prediction for 10 November
In short
Evenly matched: JL Bourg 50%, Buducnost 50%.
The model expects a score around 87:86 — 173 points in total.
Over 172.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: JL Bourg −2.0, Buducnost +0.6 points in regulation.
Facts
- League table: JL Bourg — No. 25, 1–4; Buducnost — No. 16, 3–3.
- Last 5 meetings: JL Bourg 3 wins, Buducnost 2.
- Days of rest before the match: JL Bourg 13, Buducnost 7.
Probabilities
| Expected points (incl. overtime): JL Bourg — Buducnost | 86.6–86.5 | |
| Total over 172.5 (incl. OT) | 50% | |
| Total under 172.5 (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
- Buducnost points
- Regulation 1X2
- Offence and defence strength
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Form
- 28.10away · Chemnitz77:96
- 21.10Trento90:79
- 13.10away · Neptunas89:93
- 06.10Tofas82:89
- 30.09away · Basket Napoli76:84
- 03.11Chemnitz96:84
- 27.10away · Trento92:94
- 20.10Neptunas104:89
- 14.10away · Tofas85:90
- 06.10Basket Napoli75:93
Head to head
- 11.02.2026Buducnost — JL Bourg96:84
- 05.12.2025JL Bourg — Buducnost88:73
- 10.01.2024Buducnost — JL Bourg78:74
- 01.11.2023JL Bourg — Buducnost78:73
- 30.03.2022Buducnost — JL Bourg73:75
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
- 32682The model's most likely outcome: 2Model's score: —162.4
- 46542The model's most likely outcome: 2Model's score: —173.0
- 66341The model's most likely outcome: 1Model's score: —180.1
- 36642The model's most likely outcome: 2Model's score: —163.3
- 38622The model's most likely outcome: 2Model's score: —168.3
- 54461The model's most likely outcome: 1Model's score: —156.5
- 64361The model's most likely outcome: 1Model's score: —173.7
This is the model’s statistical estimate, not a recommendation. An outcome at 50% will not happen in roughly 50 matches out of 100. How to read probabilities →