EuroCup (basketball) · Tuesday, 3 November, MSK
Ulm — Bahcesehir Kol.
☆ Save matchModel prediction for 3 November
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
Bahcesehir Kol. are clear favourites: 77% against 23% for the opponent.
The model expects a score around 82:91 — 173 points in total.
Over 172.5 points (incl. overtime) — 49%.
Why
- Team strength against the league average: Ulm −7.3, Bahcesehir Kol. +4.7 points in regulation.
Probabilities
| Expected points (incl. overtime): Ulm — Bahcesehir Kol. | 81.7–91.1 | |
| Total over 172.5 (incl. OT) | 49% | |
| Total under 172.5 (incl. OT) | 51% |
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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
- Ulm points
- Bahcesehir Kol. points
- Regulation 1X2
- Offence and defence strength
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Form
- 07.10away · Manresa89:101
- 30.09Balkan98:84
- 10.02away · Trento68:76
- 03.02Buducnost90:103
- 28.01away · JL Bourg66:97
- 13.10Manresa100:88
- 07.10away · Balkan101:60
- 30.09BC Roma91:78
- 03.04Besiktas72:82
- 31.03away · Besiktas72:91
Head to head
- 28.01.2025Bahcesehir Kol. — Ulm85:81
- 13.11.2024Ulm — Bahcesehir Kol.72:80
Table
Group D
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Bahcesehir Kol. | 3 | 0 | 1.000 | — |
| 2, Playoffs | BC Roma | 2 | 1 | .667 | 1 |
| 3, Playoffs | Lietkabelis | 2 | 1 | .667 | 1 |
| 4, Playoffs | PAOK | 2 | 1 | .667 | 1 |
| 5 | Ulm | 1 | 1 | .500 | 1.5 |
| 6 | Manresa | 1 | 2 | .333 | 2 |
| 7 | KK Bosna | 0 | 2 | .000 | 2.5 |
| 8 | Balkan | 0 | 3 | .000 | 3 |
EuroCup on the same day
- TofasNeptunaspreliminary71291The model's most likely outcome: 1Model's score: —176.3
- BuducnostChemnitzpreliminary70301The model's most likely outcome: 1Model's score: —166.3
- PAOKBC Romapreliminary64361The model's most likely outcome: 1Model's score: —166.6
- Basket NapoliTrentopreliminary74261The model's most likely outcome: 1Model's score: —164.1
This is the model’s statistical estimate, not a recommendation. An outcome at 77% will not happen in roughly 23 matches out of 100. How to read probabilities →