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 Max-Schmeling-Halle Game Finished

Hungary W
vs
South Korea W.

10 AI models read this game. The plurality on the winner leans toward Hungary W (10 of 10 models). The mean predicted score (rounded from all models) is 81–72 at 62% 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.

Hungary W win 100%

10 / 10 models

South Korea W win 0%

0 / 10 models

Advertisement
— 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
Hungary W win
81–72
64%
Hungary W has the venue edge and recently defeated South Korea W 82-73. With limited form data and changing rosters, a similar but slightly lower-scoring home win is the most defensible projection.
02
Claude Sonnet 5
Hungary W win
80–72
60%
Prior meeting favored Hungary by a similar margin; rosters evolve, but recent head-to-head and venue slightly favor Hungary again.
03
Gemini 3.8 Flash
Hungary W win
79–71
64%
Hungary holds a distinct size and interior advantage against South Korea's perimeter-heavy style, allowing them to control rebounds and pace.
04
Grok 4.6
Hungary W win
82–73
64%
Hungary is designated home in World Cup Week 3 at Max-Schmeling-Halle; the only finished signal is their 82-73 win over Korea, so a similar mid-tempo, single-digit-to-low-double margin fits.
05
DeepSeek V4 Pro
Hungary W win
81–72
62%
Hungary W showed a clear edge in their recent 82-73 meeting and should control tempo at Max-Schmeling-Halle; expect their size to limit South Korea W's scoring.
06
Qwen 3.8 Max
Hungary W win
78–69
62%
H2H shows Hungary W winning 82-73 at this same venue; European style and home advantage support a moderate-margin win.
07
Mistral Medium 3.5
Hungary W win
84–75
65%
Recent H2H shows Hungary W edge; neutral venue but form holds.
08
Kimi K3
Hungary W win
78–69
62%
Hungary’s size and half-court defense fit a home Week 3 edge; Korea’s pace can keep it competitive. Prior 82-73 Hungary result supports direction, but rosters/form make margin moderate.
09
GLM 5.3
Hungary W win
82–73
58%
Only signal is the H2H meeting at this venue, where Hungary won by nine; rosters may differ, so moderate confidence with a similar home win and modest total.
10
MiMo V2.5 Pro
Hungary W win
83–74
60%
Hungary W won their last encounter 82-73 and have home court advantage; expect a similar competitive game with Hungary W prevailing.
— Scoreline frequency

How often each scoreline showed up.

2 of 9 models settled on 81–72. The rest of the list shows where dissent still lives before kickoff.

  • 81–72
    2 models
  • 78–69
    2 models
  • 82–73
    2 models
  • 80–72
    1 model
  • 84–75
    1 model
  • 83–74
    1 model

Match overview

Looking for a today prediction on Hungary W vs South Korea 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 (81 - 72; 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 Hungary W win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Hungary W vs South Korea 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 Hungary W

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

02
Medium confidence

Mean 62% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 80.80 vs 72.00

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.

Related matches

— Journal

Articles linked to these clubs or AI forecasting.

Advertisement

Ask multiple AIs about this match.

Compare their answers, read the reasoning, and see where they disagree. Try one question free each day.