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%
Asian Championship Sep 7, 2026 · 04:30 Finished

New Zealand
vs
China.

10 AI models read this match. The plurality on the winner leans toward China (10 of 10 models). The mean predicted score (rounded from all models) is 0–3 at 77% mean confidence (High 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.

New Zealand win 0%

0 / 10 models

China 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
China win
0–3
88%
China’s established Asian Championship level and the listed recent 3-0 result point to a substantial class gap over New Zealand; without contrary form or venue evidence, another straight-sets China win is the best estimate.
02
Claude Sonnet 5
China win
3–4
72%
China holds a clear historical edge over New Zealand and typically fields deeper, more polished squads in Asian competition, supporting a straight-sets win.
03
Gemini 3.8 Flash
China win
0–3
88%
China holds a massive advantage in size, skill, and international pedigree over New Zealand, consistently dominating this Asian Championship matchup in straight sets.
04
Grok 4.6
China win
0–3
72%
China are a continental power; New Zealand rarely compete at this Asian Championship level, so a straight-sets away win is the realistic margin despite thin form data.
05
DeepSeek V4 Pro
China win
0–3
58%
China's far stronger Asian Championship pedigree and recent H2H result support a straight-sets win, though New Zealand's home venue adds slight uncertainty.
06
Qwen 3.8 Max
China win
0–3
82%
China are significantly stronger in Asian volleyball; H2H confirms a dominant 3-0 result, and the gap in squad depth and experience makes a clean sweep highly likely.
07
Mistral Medium 3.5
China win
3–4
85%
China's Asian volleyball dominance and recent 3-0 H2H indicate a likely sweep.
08
Kimi K3
China win
0–3
78%
China is a far stronger program than New Zealand, and their only recent meeting ended 0-3 to China; the quality gap in attack and blocking should persist, making a straight-sets away win the likeliest outcome.
09
GLM 5.3
China win
0–3
70%
China are a clear tier above New Zealand in Asian volleyball; the recent 3-0 head-to-head sweep reflects that gap, and no form or venue signals suggest New Zealand can take a set.
10
MiMo V2.5 Pro
China win
3–4
75%
China won 3-0 in their last meeting and remain stronger in Asian volleyball, likely dominating again.
— Scoreline frequency

How often each scoreline showed up.

7 of 10 models settled on 0–3. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 0–3
    7 models
  • 3–4
    3 models

Match overview

Looking for a today prediction on New Zealand vs China in Asian Championship? 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 (0 - 3; 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 China win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win New Zealand vs China, 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 China

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

02
High confidence

Mean 77% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected sets tilt 0.90 vs 3.30

Derived from predicted scorelines (model means), not live match 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

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Keep browsing today prediction coverage and league hubs.

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