Prediction Audit: La Nucía vs Trival Valderas Prediction, Odds & AI Betting Tips

Jun 20, 2026 - 17:00
1 1.38
0 1.22
xG Accuracy: 64%

AI correctly predicted the La Nucía 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 La Nucía La Nucía ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates Trival Valderas considerably stronger than the closing betting market.

Largest probability gap: Trival Valderas +5.0 pp

Outcome Model Closing Market Difference Signal
La Nucía 41.0% 46.0% -4.9 pp Aligned
Draw 29.9% 30.0% -0.1 pp Aligned
Trival Valderas 29.1% 24.1% +5.0 pp Model Higher

The statistical model estimates Trival Valderas's win probability at 29.1%, compared with the closing market's implied probability of 24.1%, a difference of 5.0 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 (La Nucía win 1–0).

Market Assessment

The fair estimate shows a modest edge over current market pricing on Trival Valderas.

  • 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 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 La Nucía more conservatively (36.0% vs model 41.0%, 5.0 pp), but the model's lean was validated (La Nucía win 1–0).

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Prediction Timeline

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

  1. Jun 20, 2026 · 20:48 UTC Forecast generated
    • Model 1X2 · La Nucía 41.0% · Draw 29.9% · Trival Valderas 29.1%
    • xG · La Nucía 1.38 — Trival Valderas 1.22
  2. Jun 20, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · La Nucía 1.97 · Draw 3.02 · Trival Valderas 3.76
    • Implied 1X2 · La Nucía 46.0% · Draw 30.0% · Trival Valderas 24.1%
    • Bookmaker · Pinnacle
  3. Jun 20, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · La Nucía 1.97 · Draw 3.02 · Trival Valderas 3.76
    • Implied 1X2 · La Nucía 46.0% · Draw 30.0% · Trival Valderas 24.1%
    • Bookmaker · Pinnacle
  4. Jun 20, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result La Nucía 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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 74/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 13:41 UTC Snapshot ID: dp-2990690

Closing Odds 3.76
AI Fair Odds —
CLV Pending
Final Result La Nucía win · La Nucía 1–0 Trival Valderas
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

Quick read on how the model reads this matchup.

  • League: Tercera División RFEF - Promotion - Play-offs
  • Fixture: La Nucía vs Trival Valderas
  • Kickoff: 2026-06-20 17:00:00
  • 1X2 (model): Home 33.0% · Draw 33.0% · Away 33.0%
  • xG (showing): La Nucía 1.38 — Trival Valderas 1.22 (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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

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

October 02, 2026 (UTC)

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