Predictions / Football / World. Friendlies Clubs / Sevilla vs AD Ceuta FC

Prediction Audit: Sevilla vs AD Ceuta FC Prediction, Odds & AI Betting Tips

Sevilla Sevilla
Jul 26, 2026 - 19:00
2 1.29
1 1.31
xG Accuracy: 76%
AD Ceuta FC AD Ceuta FC

AI correctly predicted the Sevilla win.

The match finished 2–1, 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Sevilla FC Sevilla ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Sevilla higher than the statistical model.

Largest probability gap: Sevilla -24.6 pp

Outcome Model Closing Market Difference Signal
Sevilla 40.0% 64.6% -24.6 pp Market Higher
Draw 28.3% 19.1% +9.2 pp Model Higher
AD Ceuta FC 31.7% 16.3% +15.3 pp Model Edge

The closing market estimates Sevilla's win probability at 64.6%, compared with the model's estimate of 40.0%, a difference of 24.6 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 (Sevilla win 2–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sevilla higher (64.6% vs model 40.0%, 24.6 pp), but the model's lean was validated (Sevilla win 2–1).

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Prediction Timeline

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

  1. Jul 26, 2026 · 20:26 UTC Forecast generated
    • Model 1X2 · Sevilla 40.0% · Draw 28.3% · AD Ceuta FC 31.6%
    • xG · Sevilla 1.29 — AD Ceuta FC 1.31
  2. Jul 26, 2026 · 18:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sevilla 1.39 · Draw 4.70 · AD Ceuta FC 5.50
    • Implied 1X2 · Sevilla 64.6% · Draw 19.1% · AD Ceuta FC 16.3%
    • Bookmaker · Pinnacle
  3. Jul 26, 2026 · 19:02 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sevilla 1.39 · Draw 4.70 · AD Ceuta FC 5.50
    • Implied 1X2 · Sevilla 64.6% · Draw 19.1% · AD Ceuta FC 16.3%
    • Bookmaker · Pinnacle
  4. Jul 26, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Sevilla win · 2–1
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (25 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: Jul 23, 2026 · 14:00 UTC Snapshot ID: dp-1454639

Closing Odds 1.39
AI Fair Odds —
CLV Pending
Final Result Sevilla win · Sevilla 2–1 AD Ceuta FC
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: Club Friendlies
  • Fixture: Sevilla FC vs AD Ceuta FC
  • Kickoff: 2026-07-26 19:00:00
  • 1X2 (model): Home 40.0% · Draw 28.3% · Away 31.6%
  • xG (showing): Sevilla FC 1.29 — AD Ceuta FC 1.31 (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 Yes
  • 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.

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

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 28, 2026 (UTC)

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