Prediction Audit: Aurora vs Guastatoya Prediction, Odds & AI Betting Tips

Jul 25, 2026 - 21:00
0 1.18
1 1.42
xG Accuracy: 64%

AI correctly predicted the Guastatoya win.

The match finished 0–1, 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 Guastatoya Guastatoya ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The model rates Guastatoya considerably stronger than the closing betting market.

Largest probability gap: Guastatoya +10.0 pp

Outcome Model Closing Market Difference Signal
Aurora 33.4% 41.9% -8.4 pp Market Higher
Draw 29.9% 31.5% -1.6 pp Aligned
Guastatoya 36.7% 26.6% +10.0 pp Model Edge

The statistical model estimates Guastatoya's win probability at 36.7%, compared with the closing market's implied probability of 26.6%, a difference of 10.0 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 (Guastatoya win 0–1).

Market Assessment

The statistical fair estimate is materially higher than the market on Guastatoya.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 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 Guastatoya more conservatively (26.7% vs model 36.7%, 10.0 pp), but the model's lean was validated (Guastatoya win 0–1).

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Prediction Timeline

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

  1. Jul 25, 2026 · 23:33 UTC Forecast generated
    • Model 1X2 · Aurora 33.5% · Draw 29.9% · Guastatoya 36.7%
    • xG · Aurora 1.18 — Guastatoya 1.42
  2. Jul 25, 2026 · 20:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Aurora 2.19 · Draw 2.91 · Guastatoya 3.44
    • Implied 1X2 · Aurora 41.9% · Draw 31.5% · Guastatoya 26.6%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 20:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Aurora 2.19 · Draw 2.91 · Guastatoya 3.44
    • Implied 1X2 · Aurora 41.9% · Draw 31.5% · Guastatoya 26.6%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 21:00 UTC Kickoff
  5. FT Full-time result Guastatoya win · 0–1
  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 (10 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 17/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:11 UTC Snapshot ID: dp-1457028

Closing Odds 3.44
AI Fair Odds —
CLV Pending
Final Result Guastatoya win · Aurora 0–1 Guastatoya
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: Liga Nacional de Guatemala
  • Fixture: Aurora vs Guastatoya
  • Kickoff: 2026-07-25 21:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Aurora 1.18 — Guastatoya 1.42 (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

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 29, 2026 (UTC)

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