Predictions / Football / World. Friendlies Clubs / Saint Etienne vs Lausanne

Prediction Audit: Saint Etienne vs Lausanne Prediction, Odds & AI Betting Tips

Jul 29, 2026 - 16:00
4 1.24
0 1.36
xG Accuracy: 32%

The model missed the final outcome (Saint Etienne win 4–0).

The model had projected Lausanne at 38.0%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Lausanne Saint Etienne ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Saint Etienne higher than the statistical model.

Largest probability gap: Saint Etienne -13.4 pp

Outcome Model Closing Market Difference Signal
Saint Etienne 32.4% 45.8% -13.4 pp Market Higher
Draw 29.6% 26.4% +3.2 pp Aligned
Lausanne 38.0% 27.8% +10.2 pp Model Edge

The closing market estimates Saint Etienne's win probability at 45.8%, compared with the model's estimate of 32.4%, a difference of 13.4 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

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.

After full time, the result was Saint Etienne win 4–0.

Market Assessment

The market is materially more optimistic about Saint Etienne than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

The closing market differed from the model on Lausanne by 13.4 percentage points (51.4% vs model 38.0%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Jul 29, 2026 · 19:41 UTC Forecast generated
    • Model 1X2 · Saint Etienne 32.4% · Draw 29.6% · Lausanne 38.0%
    • xG · Saint Etienne 1.24 — Lausanne 1.36
  2. Jul 29, 2026 · 11:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Saint Etienne 1.94 · Draw 3.36 · Lausanne 3.19
    • Implied 1X2 · Saint Etienne 45.8% · Draw 26.4% · Lausanne 27.8%
    • Bookmaker · Pinnacle
  3. Jul 29, 2026 · 11:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Saint Etienne 1.94 · Draw 3.36 · Lausanne 3.19
    • Implied 1X2 · Saint Etienne 45.8% · Draw 26.4% · Lausanne 27.8%
    • Bookmaker · Pinnacle
  4. Jul 29, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Saint Etienne win · 4–0
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (13 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 11/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:03 UTC Snapshot ID: dp-1455272

Closing Odds 1.94
AI Fair Odds —
CLV Pending
Final Result Saint Etienne win · Saint Etienne 4–0 Lausanne
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Friendlies Clubs
  • Fixture: Saint Etienne vs Lausanne
  • Kickoff: 2026-07-29 16:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Saint Etienne 1.24 — Lausanne 1.36 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 30, 2026 (UTC)

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