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Vol. I · No. 60 TECHNICAL EXPERIMENT · UNOFFICIAL · NOT BETTING ADVICE

WillWin

a technical experiment in AI-driven sports forecasting

An empty stadium at dusk before kickoff
2026-06-11 · Estadio Azteca, Mexico City · T-minus 60 days

A technical experiment: the 2026 World Cup, forecast nightly by a single language model.

Image generated by Gemini (gemini-3.1-flash-image-preview), one-shot, cached. Not a real venue.
The lede · last updated

Spain is the clear favorite to win the 2026 World Cup, followed closely by France and England, with Argentina and Germany rounding out the top five.

WillWin asks a 32-billion-parameter local language model to read the public record on every qualified team — official rankings, Elo, recent form, squad news, public market consensus, and the Opta supercomputer's published prior — and emit a single structured forecast. We average five runs and publish the result here, daily, with no edits and no human intervention. The model owes nothing to a sportsbook and we sell nothing.

Model
qwen3-32b
Runs averaged
5
Data quality
86%
Sources
8
Data points
418

The model's top twelve

probability of winning the tournament
  1. 01
    Spain

    Dominant squad with elite midfield and attacking depth.

    17.2%
  2. 02
    France

    Loaded with world-class talent and defensive solidity.

    14.1%
  3. 03
    England

    Strong youth core and experienced leadership.

    11.8%
  4. 04
    Argentina

    Lionel Messi's final World Cup with a balanced squad.

    8.7%
  5. 05
    Germany

    Returning to form with a dynamic midfield.

    7.1%
  6. 06
    Portugal

    Cristiano Ronaldo's farewell tour with emerging stars.

    6.6%
  7. 07
    Brazil

    Talented but inconsistent with key injury concerns.

    5.6%
  8. 08
    United States

    Home advantage with rising young talent.

    5.6%
  9. 09
    Netherlands

    Experienced squad with defensive resilience.

    5.2%
  10. 10
    Colombia

    High-scoring attack but shaky defense.

    2.0%
  11. 11
    Belgium

    Veteran leadership but declining form.

    1.9%
  12. 12
    Uruguay

    Compact defense but limited creativity.

    1.7%

How the model has moved

Five top contenders, six weekly snapshots. Spain has crossed France for the first time this cycle. Argentina has shed nearly three points since early March as the model re-weights age.

0% 5% 10% 15% 07 Mar 12 Apr ES FR EN DE AR

Model vs. the field

Where this AI disagrees with the Opta supercomputer and public market consensus. Largest gaps: Argentina (model -2.5pt vs. market), Brazil (-1.4pt), Spain (+0.4pt).

MARKET · OPTA · MODEL (top to bottom) ES 17.2% FR 14.1% EN 11.8% DE 7.8% PT 6.6% BR 5.8% AR 5.5%

Dark horses the model is watching

Twelve groups, forty-eight teams

Top 2 + 8 best 3rd → R32
Vancouver — BC Place Seattle — Lumen Field San Francisco — Levi's Stadium Los Angeles — SoFi Stadium Guadalajara — Estadio Akron Mexico City — Estadio Azteca Monterrey — Estadio BBVA Dallas — AT&T Stadium Houston — NRG Stadium Kansas City — Arrowhead Stadium Atlanta — Mercedes-Benz Stadium Miami — Hard Rock Stadium Toronto — BMO Field Philadelphia — Lincoln Financial Field New York / NJ — MetLife Stadium Boston — Gillette Stadium
16 host cities · United States · Canada · Mexico
Group A 5 teams
  1. Spain #2
  2. Morocco #14
  3. Poland #28
  4. Mali #53
  5. South Africa #56
Group B 4 teams
  1. France #1
  2. Senegal #17
  3. Ukraine #27
  4. Iran #20
Group C 4 teams
  1. England #4
  2. Japan #15
  3. Czechia #38
  4. Saudi Arabia #58
Group D 4 teams
  1. Brazil #6
  2. United States #16
  3. Norway #31
  4. Qatar #51
Group E 4 teams
  1. Germany #9
  2. Mexico #18
  3. Wales #33
  4. Iraq #60
Group F 4 teams
  1. Portugal #5
  2. Canada #30
  3. Paraguay #36
  4. Uzbekistan #62
Group G 4 teams
  1. Argentina #3
  2. Ecuador #24
  3. Egypt #34
  4. Costa Rica #47
Group H 4 teams
  1. Netherlands #7
  2. Australia #26
  3. Algeria #37
  4. Jamaica #64
Group I 4 teams
  1. Belgium #8
  2. South Korea #22
  3. Tunisia #41
  4. Panama #45
Group J 4 teams
  1. Croatia #10
  2. Switzerland #19
  3. Cameroon #43
  4. New Zealand #92
Group K 4 teams
  1. Uruguay #11
  2. Austria #21
  3. Ivory Coast #39
  4. Bolivia #84
Group L 4 teams
  1. Colombia #13
  2. Türkiye #25
  3. Ghana #49
  4. Venezuela #50

What the model is reading right now

  1. 01

    Spain's depth and balance give them a slight edge over France and England.

  2. 02

    Argentina's group stage draw is favorable, but knockout stage challenges loom.

  3. 03

    The expanded 48-team format increases variance, benefiting underdogs.

  4. 04

    Injuries to key players could dramatically shift tournament dynamics.

  5. 05

    Home advantage for the US adds unpredictability to the bracket.

Curious how this number is made?

Eight public sources, a structured prompt, five independent model runs, averaged, published. No human in the loop. No cloud API.

Read the method →

Technical experiment disclaimer

This website is a personal technical experiment exploring AI-generated forecasting. It is not affiliated with FIFA, the EBU, the FIA, the UCI, the Academy of Motion Picture Arts and Sciences, or any betting operator. All predictions are generated by an open-weight language model for educational and entertainment purposes only. Do not use this information for gambling or financial decisions. No accuracy is guaranteed or implied.

Consent-based analytics · No paid APIs · No cloud Visits to date ·