Mga Prediksyon / World Cup 2026 / Ivory Coast vs Norway

Ivory Coast vs Norway

Group E
Jun 30, 2026 - 17:00
1 0.96
2 1.74

Betting Signal

Sabi ng model
Norway 54.1%
sabi ng market
Norway 45.0%
Pagkakaiba
9.1 pp
Katayuan
Direction aligned; check pricing gap separately

OddsGPT Interpretation

The betting market strongly prefers Norway (45.0%).

Norway — market direction supports the model lean.

Market kumpara sa Modelo

Ivory Coast
19.3% vs 26.63%
-7.3 pp
Draw
26.6% vs 28.33%
-1.7 pp
Norway
54.1% vs 45.04%
+9.1 pp

Pinakamalaking Gap

Norway +9.1 pp

Ang modelo ay higit na malakas sa Norway kaysa sa market.

Fair estimate and market pricing differ modestly. Monitor before kickoff.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

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Pagtataya ng AI
Ivory Coast 19.3%
Draw 26.6%
Norway 54.1%

Binuo mula sa Elo-adjusted Poisson simulation. Hindi bookmaker logro.

Ipakita ang Buong Data ng Modelo
Poisson goal-line probabilities
Line Over Under
0.5 91.8% 8.2%
1.5 76.6% 23.4%
2.5 50.6% 49.4%
3.5 28.6% 71.4%
4.5 13.7% 86.3%
Match Expectations
Over 2.5 goals
50.6%
Balanced
Under 2.5 goals
49.4%
Both teams to score
52.4%
Balanced
Clean sheet likely
47.6%

Poisson total-goals expectation Σλ = 2.7 (Over 2.5 50.6% · Under 2.5 49.4%).

BTTS Yes 52.4% · No 47.6% — neither side dominates the BTTS split.

Pinaka-malamang na Scorelines
Score Probability
1-1 12.7%
0-1 10.2%
0-2 10.1%
1-2 9.8%
0-0 8.2%

Top Poisson cell: 1-1 at 12.7% (draw-type scoreline; exact-score variance remains high).

FAQ
How are win probabilities calculated?

Home and away expected goals (λ) are derived from Elo ratings and tournament parameters, then fed into a Dixon–Coles Poisson grid to produce 1X2, goal-line, and scoreline probabilities shown on this page.

Is this page betting advice?

No. OddsGPT displays model probabilities for informational purposes only. We do not recommend wagers or stake sizes on this page.

What does xG / λ mean here?

λ is the model’s pre-match expected goals for each team before variance is simulated. It is an input to the Poisson matrix, not a post-match expected-goals stat.

Why are exact score probabilities low?

Even the most likely scoreline typically sits below 15% because many score combinations share the probability mass — that is normal for Poisson models.

Yugto ng Pagtutugma: Finished

Siklo ng Buhay ng Desisyon

Kasalukuyang yugto: Awaiting CLV

  1. Nabuo ang Prediksyon
  2. Market Kumpara
    Pagpasok Nakabinbin
  3. Naipasa ang Validation
  4. Pagsara Naitala
    Pagsasara 2.17
  5. Nasuri ang CLV
    CLV Nakabinbin Awaiting CLV calculation
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