UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60% UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60%
World Cup Women · World Cup Women - Quarter-finals Sep 10, 2026 · 12:30 Uber Arena Game Finished

China W
vs
France W.

10 AI models read this game. The plurality on the winner leans toward France W (10 of 10 models). The mean predicted score (rounded from all models) is 70–82 at 69% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

China W win 0%

0 / 10 models

France W win 100%

10 / 10 models

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— Model breakdown

10 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
France W win
72–79
70%
France has won four of the last five meetings, including a 93-76 result, while this quarter-final setting should favor a more controlled defensive pace. The neutral Berlin venue offers China little true home advantage.
02
Claude Sonnet 5
France W win
78–79
74%
France has won all five recent meetings, often by double digits, showing consistent size/physicality edge over China at this level.
03
Gemini 3.8 Flash
France W win
68–76
68%
France W has dominated recent head-to-head encounters with strong perimeter defense and transition play, giving them the edge in this quarter-final clash.
04
Grok 4.6
France W win
70–82
62%
France won four of five recent meetings, often by double digits. Neutral World Cup QF at Uber Arena; China is listed home but France’s H2H quality edge still applies.
05
DeepSeek V4 Pro
France W win
65–78
70%
France have won four of the last five meetings by double digits, including 93-76 in 2024; their defence should control China on a neutral court.
06
Qwen 3.8 Max
France W win
68–82
72%
France W dominated last four H2H meetings by large margins, showing clear superiority. Their defensive pressure and scoring depth should carry through in a quarter-final setting.
07
Mistral Medium 3.5
France W win
70–84
72%
France's recent H2H dominance and stronger form favor away win; quarter-final intensity tightens margin.
08
Kimi K3
France W win
70–82
68%
France W won four of the last five H2H meetings, three by 20+ points, showing a clear matchup edge over China W. Quarter-final stakes suggest a tighter, lower-scoring game, but France's defence and depth still prevail.
09
GLM 5.3
France W win
71–82
66%
France W won the last four meetings by double digits, including 93-76 in 2024; their depth and defence still outclass China W despite the Berlin venue.
10
MiMo V2.5 Pro
France W win
74–84
65%
France W won last four H2H matches convincingly, suggesting sustained superiority; home venue may narrow margin but not reverse outcome in quarter-final.
— Scoreline frequency

How often each scoreline showed up.

2 of 7 models settled on 70–82. The rest of the list shows where dissent still lives before kickoff.

  • 70–82
    2 models
  • 72–79
    1 model
  • 78–79
    1 model
  • 70–84
    1 model
  • 65–78
    1 model
  • 68–82
    1 model

Match overview

Looking for a today prediction on China W vs France W in World Cup Women? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (70 - 82; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is France W win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win China W vs France W, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

— Aggregated insights

What’s moving the panel.

01
Consensus favors France W

100% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 69% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 70.60 vs 80.80

Derived from predicted scorelines (model means), not live game data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Explore more

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— Journal

Articles linked to these clubs or AI forecasting.

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