EuroCup (basketball) · Wednesday, 14 October, MSK
Tofas — Buducnost
☆ Save matchModel prediction for 14 October
In short
Evenly matched: Tofas 49%, Buducnost 51%.
The model expects a score around 85:85 — 170 points in total.
Over 169.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Tofas −2.1, Buducnost +0.7 points in regulation.
Probabilities
| Expected points (incl. overtime): Tofas — Buducnost | 84.9–85.3 | |
| Total over 169.5 (incl. OT) | 50% | |
| Total under 169.5 (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
- Tofas points
- Buducnost points
- Regulation 1X2
- Offence and defence strength
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Form
- 06.10away · JL Bourg89:82
- 29.09Chemnitz82:69
- 04.03MoraBanc Andorra97:94
- 05.02away · Unicaja68:76
- 28.01Joventut Badalona91:76
- 06.10Basket Napoli75:93
- 30.09away · Slask Wroclaw99:75
- 11.03Cluj-Napoca82:100
- 11.02JL Bourg96:84
- 03.02away · Ulm103:90
Head to head
No previous meetings in the data.
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
- 45552The model's most likely outcome: 2Model's score: —172.3
- 36642The model's most likely outcome: 2Model's score: —162.4
- 55451The model's most likely outcome: 1Model's score: —170.0
- 64361The model's most likely outcome: 1Model's score: —167.2
- 34662The model's most likely outcome: 2Model's score: —172.1
- 54461The model's most likely outcome: 1Model's score: —169.1
- 22782The model's most likely outcome: 2Model's score: —170.2
- 47532The model's most likely outcome: 2Model's score: —164.9
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 →