Prediction Audit: Caudal vs L'Entregu Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 17:30
2 1.42
0 1.18
xG Accuracy: 62%

AI correctly predicted the Caudal win.

The match finished 2–0, 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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Caudal Caudal ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Caudal higher than the statistical model.

Largest probability gap: Caudal -22.8 pp

Outcome Model Closing Market Difference Signal
Caudal 40.9% 63.7% -22.8 pp Market Higher
Draw 29.4% 22.0% +7.4 pp Model Higher
L'Entregu 29.7% 14.2% +15.5 pp Model Edge

The closing market estimates Caudal's win probability at 63.7%, compared with the model's estimate of 40.9%, a difference of 22.8 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 (Caudal win 2–0).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 2–0 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 Caudal higher (63.7% vs model 40.9%, 22.8 pp), but the model's lean was validated (Caudal win 2–0).

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Prediction Timeline

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

  1. Sep 26, 2026 · 17:29 UTC Forecast generated
    • Model 1X2 · Caudal 41.0% · Draw 29.4% · L'Entregu 29.6%
    • xG · Caudal 1.42 — L'Entregu 1.18
  2. Sep 26, 2026 · 17:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Caudal 1.42 · Draw 4.11 · L'Entregu 6.36
    • Implied 1X2 · Caudal 63.7% · Draw 22.0% · L'Entregu 14.2%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 17:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Caudal 1.42 · Draw 4.11 · L'Entregu 6.36
    • Implied 1X2 · Caudal 63.7% · Draw 22.0% · L'Entregu 14.2%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 17:30 UTC Kickoff
  5. FT Full-time result Caudal win · 2–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (23 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:48 UTC Snapshot ID: dp-10116731

Closing Odds 1.42
AI Fair Odds —
CLV Pending
Final Result Caudal win · Caudal 2–0 L'Entregu
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: Tercera División RFEF - Group 2
  • Fixture: Caudal vs L'Entregu
  • Kickoff: 2026-09-26 17:30:00
  • 1X2 (model): Home 41.0% · Draw 29.4% · Away 29.6%
  • xG (showing): Caudal 1.42 — L'Entregu 1.18 (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 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

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: Wait

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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Tercera División RFEF - Group 2 Tercera División RFEF - Group 2 — Standings
# TEAM MP W D L PTS
1 Covadonga 4 3 1 0 10
2 Mosconia 4 3 1 0 10
3 Sporting Gijón II 3 3 0 0 9
4 Siero 4 3 0 1 9
5 Colunga 4 3 0 1 9
6 Caudal 4 3 0 1 9
7 Condal 3 2 1 0 7
8 Langreo 3 1 1 1 4
9 Gijón Industrial 3 1 1 1 4
10 Praviano 3 1 0 2 3
11 Lealtad 3 1 0 2 3
12 Ceares 4 1 0 3 3
13 L'Entregu 4 1 0 3 3
14 Avilés Stadium 3 1 0 2 3
15 Andes 4 0 1 3 1
16 Llanes 3 0 1 2 1
17 San Martín 3 0 1 2 1
18 Astur 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Covadonga 4 12 3 +9 10
2 Colunga 4 9 7 +2 9
3 Mosconia 4 8 1 +7 10
4 Caudal 4 7 5 +2 9
5 Sporting Gijón II 3 6 2 +4 9
6 Langreo 3 6 5 +1 4
7 Ceares 4 6 9 -3 3
8 Condal 3 5 0 +5 7
9 Siero 4 5 1 +4 9
10 Gijón Industrial 3 4 4 0 4
11 Llanes 3 4 10 -6 1
12 Praviano 3 3 4 -1 3
13 Lealtad 3 2 3 -1 3
14 L'Entregu 4 2 6 -4 3
15 Andes 4 2 6 -4 1
16 Avilés Stadium 3 1 5 -4 3
17 Astur 3 1 6 -5 0
18 San Martín 3 1 7 -6 1