Prediction Audit: Ponferradina vs Celta de Vigo II Prediction, Odds & AI Betting Tips

Jun 13, 2026 - 16:30
0 1.31
0 1.29
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected Ponferradina at 38.4%, 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 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Ponferradina Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Celta de Vigo II considerably stronger than the closing betting market.

Largest probability gap: Celta de Vigo II +7.3 pp

Outcome Model Closing Market Difference Signal
Ponferradina 38.4% 45.1% -6.7 pp Market Higher
Draw 29.9% 30.5% -0.7 pp Aligned
Celta de Vigo II 31.7% 24.4% +7.3 pp Model Higher

The statistical model estimates Celta de Vigo II's win probability at 31.7%, compared with the closing market's implied probability of 24.4%, a difference of 7.3 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 result was Draw 0–0.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Celta de Vigo II.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Ponferradina; match finished Draw

Market lesson

The closing market differed from the model on Ponferradina by 7.3 percentage points (31.1% vs model 38.4%) — 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. Jun 13, 2026 · 20:35 UTC Forecast generated
    • Model 1X2 · Ponferradina 38.4% · Draw 29.8% · Celta de Vigo II 31.7%
    • xG · Ponferradina 1.31 — Celta de Vigo II 1.29
  2. Jun 13, 2026 · 15:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Ponferradina 2.03 · Draw 3.00 · Celta de Vigo II 3.75
    • Implied 1X2 · Ponferradina 45.1% · Draw 30.5% · Celta de Vigo II 24.4%
    • Bookmaker · Pinnacle
  3. Jun 13, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Ponferradina 2.03 · Draw 3.00 · Celta de Vigo II 3.75
    • Implied 1X2 · Ponferradina 45.1% · Draw 30.5% · Celta de Vigo II 24.4%
    • Bookmaker · Pinnacle
  4. Jun 13, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 63/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 11:46 UTC Snapshot ID: dp-1592950

Closing Odds 3.75
AI Fair Odds —
CLV Pending
Final Result Draw · Ponferradina 0–0 Celta de Vigo II
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

Pre-match snapshot for this fixture.

  • League: Primera División RFEF - Play Offs
  • Fixture: Ponferradina vs Celta de Vigo II
  • Kickoff: 2026-06-13 16:30:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): Ponferradina 1.31 — Celta de Vigo II 1.29 (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: 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

October 02, 2026 (UTC)

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