EuroLeague (basketball) · Tuesday, 13 October, MSK
Barcelona — Maccabi Tel Aviv
☆ Save matchModel prediction for 13 October
In short
Barcelona are clear favourites: 77% against 23% for the opponent.
The model expects a score around 94:85 — 179 points in total.
Over 178.5 points (incl. overtime) — 49%.
Why
- Team strength against the league average: Barcelona −0.3, Maccabi Tel Aviv −5.8 points in regulation.
Probabilities
| Expected points (incl. overtime): Barcelona — Maccabi Tel Aviv | 93.9–85.0 | |
| Total over 178.5 (incl. OT) | 49% | |
| Total under 178.5 (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
- Barcelona points
- Maccabi Tel Aviv points
- Regulation 1X2
- Offence and defence strength
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Form
- 11.10Valencia89:86
- 09.10Zalgiris Kaunas81:88
- 04.10away · Murcia94:100
- 02.10away · Besiktas95:82
- 29.09away · Dubai87:94
- 08.10Olimpia Milano97:79
- 02.10away · Panathinaikos67:90
- 30.09Besiktas93:109
- 24.09away · Lyon-Villeurbanne74:84
- 16.04Virtus Bologna85:89
Head to head
- 06.01.2026Barcelona — Maccabi Tel Aviv93:83
- 14.10.2025Maccabi Tel Aviv — Barcelona71:92
- 05.02.2025Barcelona — Maccabi Tel Aviv100:71
- 05.12.2024Maccabi Tel Aviv — Barcelona86:88
- 04.04.2024Barcelona — Maccabi Tel Aviv92:89
Table
| # | Team | W | L | PCT | GB |
|---|---|---|---|---|---|
| 11 | Crvena Zvezda Meridianbet | 2 | 2 | .500 | 2 |
| 12 | Barcelona | 2 | 2 | .500 | 2 |
| 13 | Besiktas | 2 | 2 | .500 | 2 |
| 14 | Anadolu Efes | 1 | 3 | .250 | 3 |
| 15 | Maccabi Tel Aviv | 1 | 3 | .250 | 3 |
| 16 | Baskonia | 1 | 3 | .250 | 3 |
EuroLeague on the same day
- 58421The model's most likely outcome: 1Model's score: —161.1
- 39612The model's most likely outcome: 2Model's score: —166.6
- 51491The model's most likely outcome: 1Model's score: —178.0
- 36642The model's most likely outcome: 2Model's score: —175.3
- 39612The model's most likely outcome: 2Model's score: —166.3
- 52481The model's most likely outcome: 1Model's score: —184.0
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 →