Aris — Tortona
☆ Save matchModel prediction for 14 October
In short
Aris are clear favourites: 64% against 36% for the opponent.
The model expects a score around 86:81 — 167 points in total.
Over 166.5 points (incl. overtime) — 50%.
Why
- Team strength against the league average: Aris −3.8, Tortona −5.8 points in regulation.
Probabilities
| Expected points (incl. overtime): Aris — Tortona | 85.8–81.4 | |
| Total over 166.5 (incl. OT) | 50% | |
| Total under 166.5 (incl. OT) | 50% |
223 more model lines in Premium
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
- Aris points
- Tortona points
- Regulation 1X2
- Offence and defence strength
Form
- 07.10San Pablo Burgos93:80
- 29.09away · Le Mans87:74
- 11.02away · Cluj-Napoca92:111
- 04.02Neptunas83:64
- 28.01away · Bahcesehir Kol.79:81
Head to head
No previous meetings in the data.
Table
Group A
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 1, Playoffs | Hapoel Jerusalem | 2 | 0 | 1.000 | — |
| 2, Playoffs | Aris | 2 | 0 | 1.000 | — |
| 3, Playoffs | Rostock | 1 | 1 | .500 | 1 |
| 4, Playoffs | Rigas Zelli | 1 | 1 | .500 | 1 |
| 5 | San Pablo Burgos | 1 | 1 | .500 | 1 |
| 6 | Tortona | 1 | 1 | .500 | 1 |
| 7 | Cedevita Olimpija | 0 | 2 | .000 | 2 |
| 8 | Le Mans | 0 | 2 | .000 | 2 |
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
- 34662The model's most likely outcome: 2Model's score: —172.1
- 49512The model's most likely outcome: 2Model's score: —170.2
- 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 64% will not happen in roughly 36 matches out of 100. How to read probabilities →