Prediction Audit: Real Oruro vs Nacional Potosí Prediction, Odds & AI Betting Tips

Sep 09, 2026 - 19:00
0 1.31
2 1.29
xG Accuracy: 57%

The model missed the final outcome (Nacional Potosí win 0–2).

The model had projected Real Oruro at 35.6%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 No No ✔ Correct
  • 1X2 Real Oruro Nacional Potosí ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Nacional Potosí higher than the statistical model.

Largest probability gap: Nacional Potosí -11.7 pp

Outcome Model Closing Market Difference Signal
Real Oruro 35.6% 28.8% +6.8 pp Model Higher
Draw 29.6% 24.9% +4.8 pp Aligned
Nacional Potosí 34.7% 46.4% -11.7 pp Market Higher

The closing market estimates Nacional Potosí's win probability at 46.4%, compared with the model's estimate of 34.7%, a difference of 11.7 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 Nacional Potosí win 0–2.

Market Assessment

The market is materially more optimistic about Nacional Potosí 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

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Real Oruro; match finished Nacional Potosí
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Real Oruro by 11.7 percentage points (47.2% 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 09, 2026 · 19:00 UTC Forecast generated
    • Model 1X2 · Real Oruro 35.6% · Draw 29.7% · Nacional Potosí 34.7%
    • xG · Real Oruro 1.31 — Nacional Potosí 1.29
  2. Sep 09, 2026 · 18:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Real Oruro 3.09 · Draw 3.58 · Nacional Potosí 1.92
    • Implied 1X2 · Real Oruro 28.8% · Draw 24.9% · Nacional Potosí 46.4%
    • Bookmaker · Pinnacle
  3. Sep 09, 2026 · 19:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Real Oruro 3.09 · Draw 3.58 · Nacional Potosí 1.92
    • Implied 1X2 · Real Oruro 28.8% · Draw 24.9% · Nacional Potosí 46.4%
    • Bookmaker · Pinnacle
  4. Sep 09, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Nacional Potosí win · 0–2
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 14/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 03, 2026 · 08:16 UTC Snapshot ID: dp-6753535

Closing Odds 1.92
AI Fair Odds —
CLV Pending
Final Result Nacional Potosí win · Real Oruro 0–2 Nacional Potosí
Prediction ✖ Missed
Decision Grade C

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: Copa de la División Profesional
  • Fixture: Real Oruro vs Nacional Potosí
  • Kickoff: 2026-09-09 19:00:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Real Oruro 1.31 — Nacional Potosí 1.29 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 34.8% · Probability edge: +17.0 pts · Est. EV: +42.4%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

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

October 01, 2026 (UTC)

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