Trento — Buducnost
☆ Save matchModel prediction for 27 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
Buducnost are clear favourites: 64% against 36% for the opponent.
The model expects a score around 81:86 — 167 points in total.
Over 166.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Trento −6.2, Buducnost +0.7 points in regulation.
Probabilities
| Expected points (incl. overtime): Trento — Buducnost | 81.5–85.9 | |
| Total over 166.5 (incl. OT) | 50% | |
| Total under 166.5 (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
- Trento points
- Buducnost points
- Regulation 1X2
- Offence and defence strength
Form
- 13.10Chemnitz80:88
- 06.10Slask Wroclaw81:94
- 29.09away · Neptunas76:73
- 18.03away · Besiktas76:77
- 11.03away · Venezia94:90
- 06.10Basket Napoli75:93
- 30.09away · Slask Wroclaw99:75
- 11.03Cluj-Napoca82:100
- 11.02JL Bourg96:84
- 03.02away · Ulm103:90
Head to head
- 16.12.2025Trento — Buducnost91:90 OT
- 08.10.2025Buducnost — Trento96:107
- 18.12.2024Buducnost — Trento110:108 OT
- 09.10.2024Trento — Buducnost64:85
- 31.01.2024Trento — Buducnost78:97
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
- Bahcesehir Kol.PAOKpreliminary82181The model's most likely outcome: 1Model's score: —164.9
- BalkanManresapreliminary37632The model's most likely outcome: 2Model's score: —174.4
- LietkabelisUlmpreliminary64361The model's most likely outcome: 1Model's score: —174.9
- FrankfurtCluj-Napocapreliminary40602The model's most likely outcome: 2Model's score: —175.4
- BC RomaKK Bosnapreliminary58421The model's most likely outcome: 1Model's score: —161.7
This is the model’s statistical estimate, not a recommendation. An outcome at 64% will not happen in roughly 36 matches out of 100. How to read probabilities →