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EuroCup (basketball) · Wednesday, 18 November, (UTC+3)

JL Bourg — Basket Napoli

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Model prediction for 18 November

JL Bourg54%
Basket Napoli46%
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

JL Bourg are slightly stronger: 54% against 46%.

The model expects a score around 85:83 — 168 points in total.

Over 167.5 points (incl. overtime) — 50%.

Why

  • Team strength against the league average: JL Bourg −2.0, Basket Napoli −0.7 points in regulation.

Facts

  • League table: JL Bourg — No. 25, 1–4; Basket Napoli — No. 3, 6–0.
  • Basket Napoli: 5 wins in a row.

Probabilities

Expected points (incl. overtime): JL Bourg — Basket Napoli84.7–83.3
Total over 167.5 (incl. OT)50%
Total under 167.5 (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
  • JL Bourg points
  • Basket Napoli points
  • Regulation 1X2
  • Offence and defence strength
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Form

JL Bourg

  • 28.10away · Chemnitz77:96
  • 21.10Trento90:79
  • 13.10away · Neptunas89:93
  • 06.10Tofas82:89
  • 30.09away · Basket Napoli76:84

Basket Napoli

  • 03.11Trento90:79
  • 28.10away · Neptunas94:85
  • 21.10Tofas105:101
  • 14.10away · Slask Wroclaw86:82
  • 06.10away · Buducnost93:75

Head to head

  • 30.09.2026Basket Napoli — JL Bourg84:76

Table

Group C

Table «Group C», season 2026/27
#TeamPWLPCTGB
1, PlayoffsBasket Napoli6601.000—
2, PlayoffsTofas651.8331
3, PlayoffsChemnitz642.6672
4, PlayoffsBuducnost633.5003
5Trento624.3334
6JL Bourg514.2004.5
7Slask Wroclaw514.2004.5
8Neptunas615.1675

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

  • TortonaRigas Zellipreliminary
    1The model's most likely outcome: 1Model's score: —168.8
  • Cluj-NapocaMaxima Romapreliminary
    1The model's most likely outcome: 1Model's score: —179.0
  • Cedevita OlimpijaSan Pablo Burgospreliminary
    1The model's most likely outcome: 1Model's score: —161.3
  • ArisLe Manspreliminary
    1The model's most likely outcome: 1Model's score: —165.7
  • BuducnostSlask Wroclawpreliminary
    1The model's most likely outcome: 1Model's score: —176.9
  • ChemnitzTofaspreliminary
    1The model's most likely outcome: 1Model's score: —166.6
  • FrankfurtVeneziapreliminary
    2The model's most likely outcome: 2Model's score: —174.1
  • KK BosnaLietkabelispreliminary
    1The model's most likely outcome: 1Model's score: —159.2

This is the model’s statistical estimate, not a recommendation. An outcome at 54% will not happen in roughly 46 matches out of 100. How to read probabilities →