Predictions / World Cup 2026 / Switzerland vs Algeria

Switzerland vs Algeria

Group B
Switzerland Switzerland
Jul 03, 2026 - 03:00
2 1.59
0 1.11
Algeria Algeria

Betting Signal

Model says
Switzerland 47.1%
Market says
Switzerland 49.1%
Difference
4.0 pp
Status
Direction aligned; check pricing gap separately

OddsGPT Interpretation

The betting market strongly prefers Switzerland (49.1%).

Switzerland — market direction supports the model lean.

Model vs Market Comparison

Switzerland
47.1% vs 49.1%
-2.0 pp
Draw
28.0% vs 29.97%
-2.0 pp
Algeria
24.9% vs 20.92%
+4.0 pp

Largest Gap

Algeria +4.0 pp

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

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
Switzerland 47.1%
Draw 28.0%
Algeria 24.9%

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

Show Full Model Data
Poisson goal-line probabilities
Line Over Under
0.5 91.7% 8.3%
1.5 76.7% 23.3%
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
54.9%
Balanced
Clean sheet likely
45.1%

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

BTTS Yes 54.9% · No 45.1% — neither side dominates the BTTS split.

Most Likely Scorelines
Score Probability
1-1 13.4%
2-1 9.4%
1-0 9.2%
2-0 8.5%
0-0 8.3%

Top Poisson cell: 1-1 at 13.4% (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.

Match Phase: Finished

Decision Lifecycle

Current stage: Awaiting CLV

  1. Prediction Generated
  2. Market Compared
    Entry Pending
  3. Validation Passed
  4. Closing Recorded
    Closing 4.67
  5. CLV Evaluated
    CLV Pending Awaiting CLV calculation
Back to today's predictions
Group B fixtures