KOR 1-0 SKB · 53% BRA 1-2 BOD · 57% SCP 1-2 189 · 58% MOD 1-1 EMP · 51% DIN 1-1 FAR · 53% SAN 1-1 BOC · 54% PAN 0-2 PAO · 63% LEC 2-0 RAD · 59% ACM 2-0 LEC · 66% MAR 1-2 PAR · 60% VAL 1-1 REA · 58% COR 1-0 FLU · 52% VIT 1-1 CRU · 50% LEG 1-0 GRA · 53% KOR 1-0 SKB · 53% BRA 1-2 BOD · 57% SCP 1-2 189 · 58% MOD 1-1 EMP · 51% DIN 1-1 FAR · 53% SAN 1-1 BOC · 54% PAN 0-2 PAO · 63% LEC 2-0 RAD · 59% ACM 2-0 LEC · 66% MAR 1-2 PAR · 60% VAL 1-1 REA · 58% COR 1-0 FLU · 52% VIT 1-1 CRU · 50% LEG 1-0 GRA · 53%
World Cup · Final Jun 16, 2026 · 22:00 · UTC Gillette Stadium, Boston Match Finished · 90'

Iraq
vs
Norway.

Quick answer

Who will win Iraq vs Norway?

Final score: Iraq 1–4 Norway. Before kickoff, 7 of 10 AI models pick Norway to win (70%); the consensus was right.

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

Head-to-head history → Iraq form Norway form

10 AI models read this match. The plurality on 1X2 leans toward Norway (7 of 10 models). The mean predicted score (rounded from all models) is 1–2 at 60% 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 Iraq beat Norway 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.

Iraq win 10%

1 / 10 models

Draw 20%

2 / 10 models

Norway win 70%

7 / 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
Norway win
1–2
62%
Norway's stronger squad likely to edge Iraq, despite neutral venue; expect a close match with modest scoring.
02
Claude Sonnet 5
Norway win
0–3
62%
Norway, led by Haaland, are a top European side vastly outranking Iraq in quality. Iraq are a solid Asian side but lack the firepower and defensive depth to contain Norway's attack at a World Cup.
03
Gemini 3.8 Flash
Norway win
0–2
65%
Norway possesses superior individual talent, particularly in attack with Haaland and Odegaard, which should be too much for Iraq's defense to handle in a World Cup setting.
04
Grok 4.6
Norway win
1–2
60%
Norway likely stronger in World Cup context; Iraq may struggle defensively at Gillette Stadium.
05
DeepSeek V4 Pro
Norway win
0–1
60%
Norway's stronger squad and recent form edge likely decisive in a tight Group Stage match.
06
Qwen 3.8 Max
Draw
1–1
60%
Both teams are evenly matched with no significant historical data; conservative approach in a high-stakes group stage match.
07
Mistral Medium 3.5
Draw
1–1
60%
Balanced matchup; Iraq’s defensive solidity and Norway’s attacking depth suggest a tight, low-scoring draw at neutral venue.
08
Llama 3.1 70B Instruct
Norway win
0–2
58%
Norway's stronger squad and World Cup experience likely to give them an edge over Iraq.
09
Cohere Command R+ (08-2024)
Iraq win
1–0
58%
With no recent head-to-head data, I lean on Iraq's slight home advantage and recent form, suggesting they may edge a tight game.
10
MiMo V2.5 Pro
Norway win
0–1
55%
Neutral venue at Gillette Stadium; Norway's European quality likely edges a tight World Cup group opener.
— Scoreline frequency

How often each scoreline showed up.

2 of 10 models settled on 1–2. The rest of the list shows where dissent still lives before kickoff.

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

Match overview

Looking for a today prediction on Iraq vs Norway 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 (1 - 2; 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 Norway win, with vote shares roughly 10% / 20% / 70% home, draw, and away (rounded).

If you are asking who will win Iraq vs Norway, 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 Norway

70% of models lean away — the clearest cluster on this fixture before kickoff.

02
Medium confidence

Mean 60% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.50 vs 1.50

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 Norway win · AI Norway win

1X2: Miss Score: Off
— Match context

Form, history, team news.

Iraq
Last 5
L L L
1 GF · 12 GA
Recent fixtures
  • Senegal 5-0 L
  • France 3-0 L
  • Norway 1-4 L
Team news

No major injury updates in the current API snapshot.

Norway
Last 5
L W W L W
9 GF · 10 GA
Recent fixtures
  • England 1-2 L
  • Brazil 1-2 W
  • Ivory Coast 1-2 W
  • France 1-4 L
  • Senegal 3-2 W
Team news

No major injury updates in the current API snapshot.

— Head to head

Last five meetings.

IRA 0 · D 0 · NOR 1

IRA VS NOR
1-4
AWAY WIN
Jun 16, 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 10% of models side with Iraq, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 20% — 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.

Iraq
~10%
implied lean
Draw
~20%
implied lean
Norway
~70%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 2.00 goals in expectation. A notional totals line near 2.3 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 Iraq 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 2.00 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: Norway 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.