Predictions / Football / Bolivia. Copa de la División Profesional / Blooming vs Oriente Petrolero

Prediction Audit: Blooming vs Oriente Petrolero Prediction, Odds & AI Betting Tips

Blooming Blooming
Aug 30, 2026 - 23:30
0 1.39
3 1.21
xG Accuracy: 42%
Oriente Petrolero Oriente Petrolero

The model missed the final outcome (Oriente Petrolero win 0–3).

The model had projected Blooming at 39.5%, 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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Blooming Oriente Petrolero ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-3 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw +3.5 pp

Outcome Model Closing Market Difference Signal
Blooming 39.5% 41.0% -1.5 pp Aligned
Draw 29.5% 26.0% +3.5 pp Aligned
Oriente Petrolero 31.0% 33.0% -2.0 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 Oriente Petrolero win 0–3.

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) — 3 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The full-time result was Oriente Petrolero win 0–3, 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 30, 2026 · 23:29 UTC Forecast generated
    • Model 1X2 · Blooming 39.5% · Draw 29.5% · Oriente Petrolero 31.0%
    • xG · Blooming 1.39 — Oriente Petrolero 1.21
  2. Aug 30, 2026 · 23:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Blooming 2.11 · Draw 3.32 · Oriente Petrolero 2.62
    • Implied 1X2 · Blooming 41.0% · Draw 26.0% · Oriente Petrolero 33.0%
    • Bookmaker · Pinnacle
  3. Aug 30, 2026 · 23:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Blooming 2.11 · Draw 3.32 · Oriente Petrolero 2.62
    • Implied 1X2 · Blooming 41.0% · Draw 26.0% · Oriente Petrolero 33.0%
    • Bookmaker · Pinnacle
  4. Aug 30, 2026 · 23:30 UTC Kickoff
  5. FT Full-time result Oriente Petrolero win · 0–3
  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 82/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 02:57 UTC Snapshot ID: dp-5306310

Closing Odds 3.32
AI Fair Odds —
CLV Pending
Final Result Oriente Petrolero win · Blooming 0–3 Oriente Petrolero
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: Copa de la División Profesional
  • Fixture: Blooming vs Oriente Petrolero
  • Kickoff: 2026-08-30 23:30:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Blooming 1.39 — Oriente Petrolero 1.21 (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%)

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: 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 29, 2026 (UTC)

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