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 8, 2026 · 01:00 Finished

India
vs
New Zealand.

10 AI models read this match. The plurality on the winner leans toward India (9 of 10 models). The mean predicted score (rounded from all models) is 3–1 at 61% 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.

India win 90%

9 / 10 models

New Zealand win 10%

1 / 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
India win
3–0
63%
India's stronger Asian-level infrastructure and likely greater depth give them the clear edge over New Zealand. With no recent scores, roster or venue details supplied, confidence is moderate, but a straight-sets India win is the best estimate.
02
Claude Sonnet 5
New Zealand win
3–4
62%
New Zealand's volleyball program generally holds a stronger international pedigree than India's; expect them to control most sets despite home advantage for India.
03
Gemini 3.8 Flash
India win
3–1
68%
India maintains a higher continental ranking and physical blocking presence in Asian competitions compared to New Zealand, likely securing a four-set victory.
04
Grok 4.6
India win
3–1
58%
India hosts the Asian Championship with a clearer regional volleyball base than New Zealand. Thin 2026 form and empty H2H scores keep this a moderate 3-1, not a sweep.
05
DeepSeek V4 Pro
India win
3–1
57%
India's home-court advantage and deeper squad at Asian level should control tempo; New Zealand can take a set but likely fade late.
06
Qwen 3.8 Max
India win
3–0
62%
India holds a clear regional advantage over New Zealand in Asian-level volleyball, with stronger squad depth and home-continent familiarity supporting a comfortable straight-sets win.
07
Mistral Medium 3.5
India win
3–1
68%
India benefits from home and continental advantage in Asian Championship.
08
Kimi K3
India win
3–1
62%
India are the more established Asian Championship side with home-continent advantage; New Zealand can compete in stretches but lack India's depth, so a four-set home win fits.
09
GLM 5.3
India win
3–1
55%
India historically beat New Zealand in Asian Championship meetings and have home-region support; context is thin, so moderate confidence with a 3-1 margin.
10
MiMo V2.5 Pro
India win
3–1
55%
India's home edge and regional strength in Asian Championship likely secure a 3-1 win, with New Zealand possibly taking a set through defensive play.
— Scoreline frequency

How often each scoreline showed up.

7 of 10 models settled on 3–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 3–1
    7 models
  • 3–0
    2 models
  • 3–4
    1 model

Match overview

Looking for a today prediction on India vs New Zealand 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 (3 - 1; 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 India win, with vote shares roughly 90% / 10% home and away (rounded).

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

90% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 61% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected sets tilt 3.00 vs 1.10

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

Explore more

Keep browsing today prediction coverage and league hubs.

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