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 · 15:50 Max-Schmeling-Halle Game Finished

Japan W
vs
Spain W.

10 AI models read this game. The plurality on the winner leans toward Spain W (10 of 10 models). The mean predicted score (rounded from all models) is 59–79 at 67% 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.

Japan W win 0%

0 / 10 models

Spain 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
Spain W win
78–79
68%
Spain W has won four of the five listed meetings, including a recent 79-59 result. Japan W’s pace can raise scoring, but Spain’s stronger defensive record and matchup control support an away win in Berlin.
02
Claude Sonnet 5
Spain W win
68–81
68%
Spain has won 4 of last 5 meetings including a lopsided recent 79-59 result, showing consistent physical and depth advantage over Japan.
03
Gemini 3.8 Flash
Spain W win
68–76
64%
Spain's physical interior defense and control of tempo historically disrupt Japan's perimeter-oriented offense, giving them a steady advantage in major tournament play.
04
Grok 4.6
Spain W win
69–78
61%
Spain have won four of five prior meetings and match up well physically; Max-Schmeling-Halle is neutral, so Japan’s listed home tag offers little edge.
05
DeepSeek V4 Pro
Spain W win
59–79
85%
Spain's defensive physicality and recent H2H dominance over Japan support an away win; Japan's offense struggled to reach 60 in the latest meeting.
06
Qwen 3.8 Max
Spain W win
59–79
72%
Spain W dominated H2H historically and the 2026 meeting already shows a 20-point Spain victory; their size and defensive pressure consistently overwhelm Japan's smaller lineup.
07
Mistral Medium 3.5
Spain W win
75–80
65%
Spain's 3-1 historical edge and consistent performance favor away win.
08
Kimi K3
Spain W win
68–79
68%
Spain W have won four of five H2H meetings, typically by double digits, and their size and half-court defence historically trouble Japan W's perimeter-oriented attack; expect Spain to control tempo in Berlin.
09
GLM 5.3
Spain W win
72–73
61%
Spain W have won three of the last four real meetings with Japan W by double digits, and their size and defence travel well; expect a low-tempo game with Spain's edge holding despite Japan's 2024 upset.
10
MiMo V2.5 Pro
Spain W win
74–78
58%
Spain W leads historical H2H with three wins, but Japan W's 2024 victory suggests competitiveness; neutral venue may favor tighter margin.
— Scoreline frequency

How often each scoreline showed up.

2 of 7 models settled on 59–79. The rest of the list shows where dissent still lives before kickoff.

  • 59–79
    2 models
  • 78–79
    1 model
  • 68–81
    1 model
  • 75–80
    1 model
  • 74–78
    1 model
  • 69–78
    1 model

Match overview

Looking for a today prediction on Japan W vs Spain 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 (59 - 79; 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 Spain W win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win Japan W vs Spain 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 Spain W

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

02
Medium confidence

Mean 67% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 69.00 vs 78.20

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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