DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% KOR 1-0 SKB · 53% BRA 1-2 BOD · 57% SCP 1-2 189 · 58% MOD 1-1 EMP · 51% DEP 1-1 REA · 58% VIL 2-1 LEV · 62% ALM 2-0 CEL · 59% LAS 1-0 BUR · 54% CLU 2-1 GEN · 57% KAL 0-2 PAN · 63% EST 1-1 CAS · 51% SAN 0-1 SCB · 57% AME 0-2 BEş · 61% GöZ 1-0 RIZ · 53% KOR 1-0 SKB · 53% BRA 1-2 BOD · 57% SCP 1-2 189 · 58% MOD 1-1 EMP · 51%
World Cup · Final Jun 22, 2026 · 01:00 · UTC BC Place, Vancouver Match Finished · 90'

New Zealand
vs
Egypt.

Quick answer

Who will win New Zealand vs Egypt?

Final score: New Zealand 1–3 Egypt. Before kickoff, 6 of 10 AI models pick Egypt to win (60%); the consensus was right.

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

Head-to-head history → New Zealand form Egypt form

10 AI models read this match. The plurality on 1X2 leans toward Egypt (6 of 10 models). The mean predicted score (rounded from all models) is 0–1 at 59% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will New Zealand beat Egypt in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

Ask the Council Free today · sign in with Google to convene the council
— 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

Draw 40%

4 / 10 models

Egypt win 60%

6 / 10 models

— 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
Egypt win
0–1
65%
Egypt's recent win over New Zealand suggests strong form; their defense likely to hold at BC Place.
02
Claude Sonnet 5
Egypt win
0–1
52%
Egypt (likely with Salah) are superior in quality; the H2H result of Egypt 1-0 NZ in 2024 still reflects the talent gap, and New Zealand historically struggle to score at this level.
03
Gemini 3.8 Flash
Egypt win
0–1
62%
Egypt boasts superior individual quality and tactical discipline compared to New Zealand. Recent H2H suggests a tight, low-scoring affair where Egypt's defensive solidity should secure a narrow victory.
04
Grok 4.6
Egypt win
0–1
60%
Egypt's stronger historical edge and recent 1-0 win over New Zealand suggest a narrow victory despite neutral venue.
05
DeepSeek V4 Pro
Draw
1–1
60%
Recent H2H was tight; both teams cautious in group stage, likely sharing points.
06
Qwen 3.8 Max
Egypt win
0–1
60%
Egypt's recent 1-0 win and strong defensive record suggest a narrow victory, especially in a crucial group stage match.
07
Mistral Medium 3.5
Draw
1–1
60%
Recent H2H was tight; both sides defensively solid, likely to cancel each other out in a cautious group-stage match.
08
Llama 3.1 70B Instruct
Draw
1–1
58%
Recent head-to-head suggests a close match; moderate confidence due to thin context.
09
Cohere Command R+ (08-2024)
Draw
1–1
55%
Egypt's recent form and their 1-0 win over New Zealand suggest a tight game. New Zealand's home advantage may earn a point, but Egypt's defense could limit them to a single goal.
10
MiMo V2.5 Pro
Egypt win
0–1
55%
Egypt won the last H2H and has stronger squad; World Cup group stage often yields tight, low-scoring games.
— Scoreline frequency

How often each scoreline showed up.

6 of 10 models settled on 0–1. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 0–1
    6 models
  • 1–1
    4 models

Match overview

Looking for a today prediction on New Zealand vs Egypt in World Cup? 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 - 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 Egypt win, with vote shares roughly 0% / 40% / 60% home, draw, and away (rounded).

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

60% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 59% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.40 vs 1.00

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.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Confidence trend

Cumulative average confidence in table order.

First model Last model
Result check

Actual Egypt win · AI Egypt win

1X2: Miss Score: Off
— Match context

Form, history, team news.

New Zealand
Last 5
L L D
4 GF · 10 GA
Recent fixtures
  • Belgium 1-5 L
  • Egypt 1-3 L
  • Iran 2-2 D
Team news

No major injury updates in the current API snapshot.

Egypt
Last 5
L D D W D
8 GF · 7 GA
Recent fixtures
  • Argentina 3-2 L
  • Australia 1-1 D
  • Iran 1-1 D
  • New Zealand 1-3 W
  • Belgium 1-1 D
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

NEW 0 · D 0 · EGY 1

NEW VS EGY
1-3
AWAY WIN
Jun 22, 2026

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 0% of models side with New Zealand, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 40% — tight World Cup games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

New Zealand
~0%
implied lean
Draw
~40%
implied lean
Egypt
~60%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.40 goals in expectation. A notional totals line near 1.7 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When New Zealand is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 1.40 xG, a heuristic “both teams score” prior lands around 55% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: Egypt win. Pair that with the confidence band (Medium) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

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Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.