Predictions / World Cup 2026 / Spain vs Austria

Spain vs Austria

Group H
Spain Spain
Jul 02, 2026 - 19:00
3 1.89
0 0.81
Austria Austria

Betting Signal

Model says
Spain 61.5%
Market says
Spain 75.1%
Difference
13.6 pp
Status
Use caution — signals are mixed

OddsGPT Interpretation

The betting market strongly prefers Spain (75.1%).

Spain — market direction supports the model lean.

Model vs Market Comparison

Spain
61.5% vs 75.07%
-13.6 pp
Draw
24.4% vs 17.27%
+7.1 pp
Austria
14.1% vs 7.65%
+6.5 pp

Largest Gap

Spain -13.6 pp

The market is substantially more bullish on Spain than the model.

The fair estimate differs noticeably from current market pricing. This may reflect genuine disagreement or incomplete rating inputs.

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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AI Forecast
Spain 61.5%
Draw 24.4%
Austria 14.1%

Generated from Elo-adjusted Poisson simulation. Not bookmaker odds.

Show Full Model Data
Poisson goal-line probabilities
Line Over Under
0.5 91.9% 8.1%
1.5 76.5% 23.5%
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
48.5%
Balanced
Clean sheet likely
51.5%

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

BTTS Yes 48.5% · No 51.5% — neither side dominates the BTTS split.

Most Likely Scorelines
Score Probability
2-0 12.0%
1-1 11.6%
1-0 11.4%
2-1 9.7%
0-0 8.1%

Top Poisson cell: 2-0 at 12.0% (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.

Match Phase: Finished

Decision Lifecycle

Current stage: Awaiting CLV

  1. Prediction Generated
  2. Market Compared
    Entry Pending
  3. Validation Passed
  4. Closing Recorded
    Closing 1.3
  5. CLV Evaluated
    CLV Pending Awaiting CLV calculation
Back to today's predictions
Group H fixtures