Predictions / Football / World. Friendlies Clubs / Racing Santander II vs Basconia

Prediction Audit: Racing Santander II vs Basconia Prediction, Odds & AI Betting Tips

Racing Santander II Racing Santander II
Aug 15, 2026 - 09:00
3 1.37
3 1.23
xG Accuracy: 39%
Basconia Basconia

The model missed the final outcome (Draw 3–3).

The model had projected Racing Santander II at 38.6%, 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 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Racing Santander II Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-3 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Basconia -3.8 pp

Outcome Model Closing Market Difference Signal
Racing Santander II 38.6% 36.6% +2.0 pp Aligned
Draw 29.3% 27.5% +1.8 pp Aligned
Basconia 32.1% 35.9% -3.8 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 3–3.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • 1X2: model leaned Racing Santander II; match finished Draw

Market lesson

The full-time result was Draw 3–3, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 15, 2026 · 09:01 UTC Forecast generated
    • Model 1X2 · Racing Santander II 38.6% · Draw 29.3% · Basconia 32.1%
    • xG · Racing Santander II 1.37 — Basconia 1.23
  2. Aug 15, 2026 · 08:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Racing Santander II 2.43 · Draw 3.23 · Basconia 2.48
    • Implied 1X2 · Racing Santander II 36.6% · Draw 27.5% · Basconia 35.9%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 09:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Racing Santander II 2.43 · Draw 3.23 · Basconia 2.48
    • Implied 1X2 · Racing Santander II 36.6% · Draw 27.5% · Basconia 35.9%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 09:00 UTC Kickoff
  5. FT Full-time result Draw · 3–3
  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 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 81/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 15, 2026 · 01:12 UTC Snapshot ID: dp-4022445

Closing Odds 2.48
AI Fair Odds —
CLV Pending
Final Result Draw · Racing Santander II 3–3 Basconia
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: Friendlies Clubs
  • Fixture: Racing Santander II vs Basconia
  • Kickoff: 2026-08-15 09:00:00
  • 1X2 (model): Home 38.6% · Draw 29.3% · Away 32.1%
  • xG (showing): Racing Santander II 1.37 — Basconia 1.23 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • 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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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: 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

September 28, 2026 (UTC)

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