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 Uber Arena Game Finished

Germany W
vs
Mali W.

10 AI models read this game. The plurality on the winner leans toward Germany W (10 of 10 models). The mean predicted score (rounded from all models) is 72–55 at 68% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

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— Consensus

Where the panel lands.

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

Germany W win 100%

10 / 10 models

Mali W win 0%

0 / 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
Germany W win
73–59
68%
Germany W’s home setting at Uber Arena and the recent 69-53 result indicate a defensive edge over Mali W. With limited broader form data, a controlled, moderately low-scoring Germany victory is the safer projection.
02
Claude Sonnet 5
Germany W win
70–54
72%
Germany W boasts stronger overall roster depth and home venue advantage; prior meeting showed similar margin reflecting talent gap.
03
Gemini 3.8 Flash
Germany W win
74–58
78%
Germany holds significant advantages in perimeter depth, defensive discipline, and home-court advantage at Uber Arena, allowing them to control pace against an athletic but turnover-prone Mali.
04
Grok 4.6
Germany W win
71–55
64%
Germany host at Uber Arena in World Cup week 3 with a clear quality edge over Mali; expect a controlled home win at modest women's international pace.
05
DeepSeek V4 Pro
Germany W win
72–55
63%
Germany W's home-court edge and superior depth should control pace; Mali W struggled to score in their last meeting, with low possessions likely.
06
Qwen 3.8 Max
Germany W win
72–55
78%
Germany W dominated Mali W 69-53 in their only prior meeting at this same venue; home advantage and superior depth support a similar margin in this World Cup fixture.
07
Mistral Medium 3.5
Germany W win
70–55
70%
Germany's superior form and home court advantage.
08
Kimi K3
Germany W win
72–58
68%
Germany W beat Mali W 69-53 in the most recent meeting and remain the stronger side; expect a similar controlled, defense-led win at Uber Arena with Mali's offense limited.
09
GLM 5.3
Germany W win
71–52
63%
H2H shows Germany beating Mali 69-53; Germany's deeper roster and home venue support a comfortable double-digit margin in a low-scoring matchup.
10
MiMo V2.5 Pro
Germany W win
67–51
60%
Germany W has home venue and a historical H2H win; expect a low-scoring defensive game with a similar margin.
— Scoreline frequency

How often each scoreline showed up.

2 of 7 models settled on 72–55. The rest of the list shows where dissent still lives before kickoff.

  • 72–55
    2 models
  • 73–59
    1 model
  • 70–54
    1 model
  • 70–55
    1 model
  • 67–51
    1 model
  • 71–55
    1 model

Match overview

Looking for a today prediction on Germany W vs Mali 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 (72 - 55; 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 Germany W win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Germany W vs Mali 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 Germany W

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

02
Medium confidence

Mean 68% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 71.20 vs 55.20

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

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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