EuroCup (basketball) · Tuesday, 10 November, (UTC+3)
Neptunas — Slask Wroclaw
☆ Save matchModel prediction for 10 November
In short
Neptunas are clear favourites: 66% against 34% for the opponent.
The model expects a score around 93:87 — 180 points in total.
Over 179.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Neptunas −8.1, Slask Wroclaw −10.9 points in regulation.
Facts
- League table: Neptunas — No. 30, 1–5; Slask Wroclaw — No. 28, 1–4.
- Neptunas: 3 defeats in a row; Slask Wroclaw: 3 defeats in a row.
- Last 2 meetings: Neptunas 1 win, Slask Wroclaw 1.
- Days of rest before the match: Neptunas 7, Slask Wroclaw 13.
Probabilities
| Expected points (incl. overtime): Neptunas — Slask Wroclaw | 92.8–87.3 | |
| Total over 179.5 (incl. OT) | 50% | |
| Total under 179.5 (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
- Neptunas points
- Slask Wroclaw points
- Regulation 1X2
- Offence and defence strength
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Form
- 03.11away · Tofas79:94
- 28.10Basket Napoli85:94
- 20.10away · Buducnost89:104
- 13.10JL Bourg93:89
- 07.10away · Chemnitz84:93
- 28.10Tofas74:90
- 21.10away · Chemnitz67:95
- 14.10Basket Napoli82:86
- 06.10away · Trento94:81
- 30.09Buducnost75:99
Head to head
- 10.12.2025Neptunas — Slask Wroclaw103:87 OT
- 30.09.2025Slask Wroclaw — Neptunas95:85
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
- 50501The model's most likely outcome: 1Model's score: —173.1
- 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 66% will not happen in roughly 34 matches out of 100. How to read probabilities →