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EuroCup (basketball) · Wednesday, 11 November, (UTC+3)

Tortona — Hapoel Jerusalem

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Model prediction for 11 November

Tortona23%
Hapoel Jerusalem77%
Model estimate at (UTC+3)

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

Hapoel Jerusalem are clear favourites: 77% against 23% for the opponent.

The model expects a score around 80:90 — 170 points in total.

Over 169.5 points (incl. overtime) — 49%.

Why

  • Team strength against the league average: Tortona −6.4, Hapoel Jerusalem +6.1 points in regulation.

Facts

  • League table: Tortona — No. 15, 3–2; Hapoel Jerusalem — No. 2, 5–0.
  • Hapoel Jerusalem: 5 wins in a row.

Probabilities

Expected points (incl. overtime): Tortona — Hapoel Jerusalem80.0–89.8
Total over 169.5 (incl. OT)49%
Total under 169.5 (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
  • Tortona points
  • Hapoel Jerusalem points
  • Regulation 1X2
  • Offence and defence strength
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Form

Tortona

  • 28.10Rostock86:83
  • 21.10San Pablo Burgos89:79
  • 14.10away · Aris68:88
  • 07.10Le Mans89:83
  • 30.09away · Rigas Zelli84:86

Hapoel Jerusalem

  • 28.10away · Le Mans90:83
  • 21.10Rigas Zelli100:64
  • 14.10away · San Pablo Burgos85:84
  • 06.10away · Cedevita Olimpija75:64
  • 29.09Rostock94:73

Head to head

No previous meetings in the data.

Table

Group A

Table «Group A», season 2026/27
#TeamPWLPCTGB
1, PlayoffsAris5501.000—
2, PlayoffsHapoel Jerusalem5501.000—
3, PlayoffsRigas Zelli532.6002
4, PlayoffsTortona532.6002
5Le Mans523.4003
6San Pablo Burgos514.2004
7Rostock514.2004
8Cedevita Olimpija505.0005

Season 2026/27 · by win percentage, ties by head-to-head record, then the points difference in those games and overall

Full table

EuroCup on the same day

  • Bahcesehir Kol.Lietkabelispreliminary
    1The model's most likely outcome: 1Model's score: —158.9
  • SiauliaiTenerifepreliminary
    2The model's most likely outcome: 2Model's score: —172.1
  • ArisRigas Zellipreliminary
    1The model's most likely outcome: 1Model's score: —167.1
  • ChemnitzBasket Napolipreliminary
    1The model's most likely outcome: 1Model's score: —167.5
  • BC RomaUlmpreliminary
    2The model's most likely outcome: 2Model's score: —184.5
  • Le MansSan Pablo Burgospreliminary
    1The model's most likely outcome: 1Model's score: —166.9

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 →