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 7, 2026 · 12:30 Uber Arena Game Finished

Nigeria 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 64–89 at 72% 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.

Nigeria 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
64–89
78%
France W have won four of the last five meetings, including a recent 93-86 result and a 111-56 margin in the supplied fixture data. Nigeria W should compete, but France’s stronger defensive and scoring profile points to a clear away win.
02
Claude Sonnet 5
France W win
95–96
78%
France has dominated recent meetings, including a lopsided 111-56 result, showing a clear talent and depth gap over Nigeria.
03
Gemini 3.8 Flash
France W win
68–82
76%
France Women hold a superior talent depth and defensive structure, historically controlling Nigeria Women at major international tournaments.
04
Grok 4.6
France W win
69–82
70%
France beat Nigeria 93-86 in March 2026 and dominate most H2H. Neutral Uber Arena World Cup; France’s talent and defence should win by a solid double-digit margin.
05
DeepSeek V4 Pro
France W win
78–79
72%
France W have dominated recent meetings, including a 111-56 win in this fixture, and their superior depth should control the game despite Nigeria's home venue.
06
Qwen 3.8 Max
France W win
58–92
82%
France W dominated H2H convincingly, including a 55-point win in this exact fixture. Their superior depth and scoring output make a large margin likely again.
07
Mistral Medium 3.5
France W win
84–91
65%
Recent 93-86 win and historical edge favor France
08
Kimi K3
France W win
62–88
74%
France W have won four of five H2H meetings, including a 111-56 rout of Nigeria W; their depth and defensive pressure consistently overwhelm Nigeria, so expect another comfortable away win.
09
GLM 5.3
France W win
62–85
68%
France W won the last three meetings by double digits, including 93-86 in March; their depth and defense should control Nigeria W despite a close 2022 upset.
10
MiMo V2.5 Pro
France W win
84–89
60%
France W leads H2H 4-1, with a 93-86 win in 2026. Nigeria's 2022 home win was narrow, but France's recent dominance suggests a slight edge.
— Scoreline frequency

How often each scoreline showed up.

1 of 6 models settled on 64–89. The rest of the list shows where dissent still lives before kickoff.

  • 64–89
    1 model
  • 95–96
    1 model
  • 84–91
    1 model
  • 78–79
    1 model
  • 58–92
    1 model
  • 84–89
    1 model

Match overview

Looking for a today prediction on Nigeria 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 (64 - 89; 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 Nigeria 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 72% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 72.40 vs 87.30

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

Keep browsing today prediction coverage and league hubs.

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— Journal

Articles linked to these clubs or AI forecasting.

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