Manresa — PAOK
☆ Save matchModel prediction for 18 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
Manresa are slightly stronger: 60% against 40%.
The model expects a score around 92:88 — 180 points in total.
Over 179.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Manresa −3.1, PAOK −3.6 points in regulation.
Facts
- League table: Manresa — No. 11, 3–2; PAOK — No. 8, 4–2.
Probabilities
| Expected points (incl. overtime): Manresa — PAOK | 91.8–88.5 | |
| 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
- Manresa points
- PAOK points
- Regulation 1X2
- Offence and defence strength
Form
- 01.11away · Baskonia83:106
- 27.10away · Balkan76:65
- 24.10San Pablo Burgos81:99
- 20.10BC Roma108:88
- 17.10Unicaja72:84
- 03.11BC Roma113:111
- 27.10away · Bahcesehir Kol.81:84
- 21.10Ulm87:78
- 13.10away · Lietkabelis86:95
- 06.10away · KK Bosna75:72
Head to head
- 30.09.2026PAOK — Manresa93:78
Table
Group D
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Bahcesehir Kol. | 5 | 1 | .833 | — |
| 2, Playoffs | PAOK | 4 | 2 | .667 | 1 |
| 3, Playoffs | Manresa | 3 | 2 | .600 | 1.5 |
| 4, Playoffs | Lietkabelis | 3 | 2 | .600 | 1.5 |
| 5 | Ulm | 3 | 3 | .500 | 2 |
| 6 | KK Bosna | 2 | 3 | .400 | 2.5 |
| 7 | BC Roma | 2 | 4 | .333 | 3 |
| 8 | Balkan | 0 | 5 | .000 | 4.5 |
EuroCup on the same day
- TortonaRigas Zellipreliminary58421The model's most likely outcome: 1Model's score: —168.8
- Cluj-NapocaMaxima Romapreliminary56441The model's most likely outcome: 1Model's score: —179.0
- Cedevita OlimpijaSan Pablo Burgospreliminary69311The model's most likely outcome: 1Model's score: —161.3
- ArisLe Manspreliminary70301The model's most likely outcome: 1Model's score: —165.7
- BuducnostSlask Wroclawpreliminary86141The model's most likely outcome: 1Model's score: —176.9
- ChemnitzTofaspreliminary54461The model's most likely outcome: 1Model's score: —166.6
- FrankfurtVeneziapreliminary40602The model's most likely outcome: 2Model's score: —174.1
- JL BourgBasket Napolipreliminary54461The model's most likely outcome: 1Model's score: —168.0
This is the model’s statistical estimate, not a recommendation. An outcome at 60% will not happen in roughly 40 matches out of 100. How to read probabilities →