Prediction Audit: Monaco vs Getafe Prediction, Odds & AI Betting Tips

Aug 06, 2026 - 18:00
1 1.38
0 1.22
xG Accuracy: 64%

AI correctly predicted the Monaco win.

The match finished 1–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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

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

Model vs Closing Market

Strong Disagreement

The closing market prices Monaco higher than the statistical model.

Largest probability gap: Monaco -10.6 pp

Outcome Model Closing Market Difference Signal
Monaco 39.0% 49.6% -10.6 pp Market Higher
Draw 29.5% 26.1% +3.4 pp Aligned
Getafe 31.5% 24.3% +7.2 pp Model Higher

The closing market estimates Monaco's win probability at 49.6%, compared with the model's estimate of 39.0%, a difference of 10.6 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 model's directional lean matched the result (Monaco win 1–0).

Market Assessment

The market is materially more optimistic about Monaco 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

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Monaco higher (49.6% vs model 39.0%, 10.6 pp), but the model's lean was validated (Monaco win 1–0).

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Prediction Timeline

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

  1. Aug 06, 2026 · 18:00 UTC Forecast generated
    • Model 1X2 · Monaco 39.0% · Draw 29.5% · Getafe 31.5%
    • xG · Monaco 1.38 — Getafe 1.22
  2. Aug 06, 2026 · 17:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Monaco 1.79 · Draw 3.40 · Getafe 3.65
    • Implied 1X2 · Monaco 49.6% · Draw 26.1% · Getafe 24.3%
    • Bookmaker · Pinnacle
  3. Aug 06, 2026 · 18:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Monaco 1.79 · Draw 3.40 · Getafe 3.65
    • Implied 1X2 · Monaco 49.6% · Draw 26.1% · Getafe 24.3%
    • Bookmaker · Pinnacle
  4. Aug 06, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Monaco win · 1–0
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 58/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 46/100
Betting Confidence 46/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 02:16 UTC Snapshot ID: dp-2559538

Closing Odds 1.79
AI Fair Odds —
CLV Pending
Final Result Monaco win · Monaco 1–0 Getafe
Prediction ✔ Correct
Decision Grade B-

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

Pre-match snapshot for this fixture.

  • League: Friendlies Clubs
  • Fixture: Monaco vs Getafe
  • Kickoff: 2026-08-06 18:00:00
  • 1X2 (model): Home 39.0% · Draw 29.5% · Away 31.5%
  • xG (showing): Monaco 1.38 — Getafe 1.22 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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: Validated — Pre-match lean validated against 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 27, 2026 (UTC)

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