Prediction Audit: Orihuela vs Castellón II Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 16:30
1 1.31
4 1.29
xG Accuracy: 44%

The model missed the final outcome (Castellón II win 1–4).

The model had projected Orihuela at 35.6%, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Orihuela Castellón II ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Orihuela higher than the statistical model.

Largest probability gap: Orihuela -15.0 pp

Outcome Model Closing Market Difference Signal
Orihuela 35.6% 50.6% -15.0 pp Market Higher
Draw 29.6% 25.7% +3.9 pp Aligned
Castellón II 34.7% 23.6% +11.1 pp Model Edge

The closing market estimates Orihuela's win probability at 50.6%, compared with the model's estimate of 35.6%, a difference of 15.0 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 Castellón II win 1–4.

Market Assessment

The market is materially more optimistic about Orihuela 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) — 5 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)

Market lesson

The closing market differed from the model on Orihuela by 15.0 percentage points (50.6% vs model 35.6%) — 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. Sep 26, 2026 · 16:29 UTC Forecast generated
    • Model 1X2 · Orihuela 35.6% · Draw 29.7% · Castellón II 34.7%
    • xG · Orihuela 1.31 — Castellón II 1.29
  2. Sep 26, 2026 · 16:02 UTC Opening odds snapshot PRE30
    • 1X2 odds · Orihuela 1.81 · Draw 3.56 · Castellón II 3.88
    • Implied 1X2 · Orihuela 50.6% · Draw 25.7% · Castellón II 23.6%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Orihuela 1.81 · Draw 3.56 · Castellón II 3.88
    • Implied 1X2 · Orihuela 50.6% · Draw 25.7% · Castellón II 23.6%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Castellón II win · 1–4
  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 (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 25/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:44 UTC Snapshot ID: dp-10115737

Closing Odds 1.81
AI Fair Odds —
CLV Pending
Final Result Castellón II win · Orihuela 1–4 Castellón 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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Segunda División RFEF - Group 3
  • Fixture: Orihuela vs Castellón II
  • Kickoff: 2026-09-26 16:30:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Orihuela 1.31 — Castellón II 1.29 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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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Segunda División RFEF - Group 3 Segunda División RFEF - Group 3 — Standings
# TEAM MP W D L PTS
1 Castellón II 4 3 0 1 9
2 La Nucía 3 3 0 0 9
3 Castellonense 3 3 0 0 9
4 Orihuela 4 2 1 1 7
5 Ucam Murcia 3 2 0 1 6
6 Intercity 3 1 2 0 5
7 Deportiva Minera 3 1 2 0 5
8 Mallorca II 3 1 2 0 5
9 Cieza 3 1 1 1 4
10 Elche II 3 1 1 1 4
11 Yeclano 3 1 1 1 4
12 Alcoyano 3 1 1 1 4
13 Lorca Deportiva 3 0 2 1 2
14 Valencia II 3 0 1 2 1
15 Peña Deportiva 3 0 1 2 1
16 Atlético Baleares 3 0 1 2 1
17 Poblense 3 0 0 3 0
18 Real Murcia II 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Castellón II 4 10 4 +6 9
2 La Nucía 3 7 1 +6 9
3 Ucam Murcia 3 6 3 +3 6
4 Orihuela 4 6 7 -1 7
5 Castellonense 3 5 2 +3 9
6 Intercity 3 4 3 +1 5
7 Deportiva Minera 3 3 2 +1 5
8 Alcoyano 3 3 4 -1 4
9 Atlético Baleares 3 3 7 -4 1
10 Mallorca II 3 2 1 +1 5
11 Cieza 3 2 2 0 4
12 Elche II 3 2 2 0 4
13 Yeclano 3 2 2 0 4
14 Valencia II 3 2 4 -2 1
15 Real Murcia II 3 2 8 -6 0
16 Lorca Deportiva 3 1 2 -1 2
17 Peña Deportiva 3 1 3 -2 1
18 Poblense 3 1 5 -4 0