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EuroCup (basketball) · Wednesday, 4 November, (UTC+3)

Slask Wroclaw — JL Bourg

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Model prediction for 4 November

Slask Wroclaw35%
JL Bourg65%
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 clear favourites: 65% against 35% for the opponent.

The model expects a score around 82:87 — 169 points in total.

Over 168.5 points (incl. overtime) — 49%.

Why

  • Team strength against the league average: Slask Wroclaw −8.2, JL Bourg −0.7 points in regulation.

Facts

  • League table: Slask Wroclaw — No. 20, 1–2; JL Bourg — No. 30, 0–3.
  • JL Bourg: 3 defeats in a row.
  • Last 2 meetings: Slask Wroclaw 0 wins, JL Bourg 2.

Probabilities

Expected points (incl. overtime): Slask Wroclaw — JL Bourg82.0–86.8
Total over 168.5 (incl. OT)49%
Total under 168.5 (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
  • Slask Wroclaw points
  • JL Bourg points
  • Regulation 1X2
  • Offence and defence strength
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Form

Slask Wroclaw

  • 14.10Basket Napoli82:86
  • 06.10away · Trento94:81
  • 30.09Buducnost75:99
  • 10.02Cedevita Olimpija81:114
  • 03.02away · Bahcesehir Kol.82:80

JL Bourg

  • 13.10away · Neptunas89:93
  • 06.10Tofas82:89
  • 30.09away · Basket Napoli76:84
  • 28.04Besiktas73:71
  • 22.04away · Besiktas72:60

Head to head

  • 05.12.2023Slask Wroclaw — JL Bourg63:72
  • 05.10.2023JL Bourg — Slask Wroclaw90:74

Table

Group C

Table «Group C», season 2026/27
#TeamPWLPCTGB
1, PlayoffsBasket Napoli3301.000—
2, PlayoffsTofas3301.000—
3, PlayoffsChemnitz321.6671
4, PlayoffsBuducnost312.3332
5Slask Wroclaw312.3332
6Trento312.3332
7Neptunas312.3332
8JL Bourg303.0003

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

  • Turk TelekomFrankfurtpreliminary
    1The model's most likely outcome: 1Model's score: —160.8
  • LietkabelisManresapreliminary
    1The model's most likely outcome: 1Model's score: —176.1
  • Rigas ZelliLe Manspreliminary
    1The model's most likely outcome: 1Model's score: —169.0
  • Cedevita OlimpijaTortonapreliminary
    1The model's most likely outcome: 1Model's score: —161.5
  • KK BosnaBalkanpreliminary
    1The model's most likely outcome: 1Model's score: —162.5
  • Hapoel JerusalemArispreliminary
    1The model's most likely outcome: 1Model's score: —165.4
  • VeneziaSiauliaipreliminary
    1The model's most likely outcome: 1Model's score: —163.9
  • San Pablo BurgosRostockpreliminary
    1The model's most likely outcome: 1Model's score: —168.9

This is the model’s statistical estimate, not a recommendation. An outcome at 65% will not happen in roughly 35 matches out of 100. How to read probabilities →