Predictions / Football / Chile. Copa Chile / Nublense vs D. Puerto Montt

Prediction Audit: Nublense vs D. Puerto Montt Prediction, Odds & AI Betting Tips

Nublense Nublense
Sep 26, 2026 - 20:30
2 1.23
1 1.37
xG Accuracy: 73%
D. Puerto Montt D. Puerto Montt

The model missed the final outcome (Nublense win 2–1).

The model had projected D. Puerto Montt at 38.5%, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 D. Puerto Montt Nublense ✖ Incorrect
  • 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 Nublense higher than the statistical model.

Largest probability gap: Nublense -24.3 pp

Outcome Model Closing Market Difference Signal
Nublense 31.9% 56.2% -24.3 pp Market Higher
Draw 29.6% 24.8% +4.8 pp Aligned
D. Puerto Montt 38.5% 19.0% +19.5 pp Model Edge

The closing market estimates Nublense's win probability at 56.2%, compared with the model's estimate of 31.9%, a difference of 24.3 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 Nublense 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
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned D. Puerto Montt; match finished Nublense

Market lesson

The closing market differed from the model on D. Puerto Montt by 24.3 percentage points (62.8% vs model 38.5%) — 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 26, 2026 · 20:29 UTC Forecast generated
    • Model 1X2 · Nublense 31.9% · Draw 29.6% · D. Puerto Montt 38.5%
    • xG · Nublense 1.23 — D. Puerto Montt 1.37
  2. Sep 26, 2026 · 20:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Nublense 1.63 · Draw 3.70 · D. Puerto Montt 4.82
    • Implied 1X2 · Nublense 56.2% · Draw 24.8% · D. Puerto Montt 19.0%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 20:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Nublense 1.63 · Draw 3.70 · D. Puerto Montt 4.82
    • Implied 1X2 · Nublense 56.2% · Draw 24.8% · D. Puerto Montt 19.0%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 20:30 UTC Kickoff
  5. FT Full-time result Nublense win · 2–1
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 51/100 · Moderate
  • Validation: Warning
  • Large market gap (24 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 03:06 UTC Snapshot ID: dp-10120090

Closing Odds 1.63
AI Fair Odds —
CLV Pending
Final Result Nublense win · Nublense 2–1 D. Puerto Montt
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

Quick read on how the model reads this matchup.

  • League: Copa Chile
  • Fixture: Nublense vs D. Puerto Montt
  • Kickoff: 2026-09-26 20:30:00
  • 1X2 (model): Home 31.9% · Draw 29.6% · Away 38.5%
  • xG (showing): Nublense 1.23 — D. Puerto Montt 1.37 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.4% · Implied: 48.2% · Probability edge: +6.2 pts · Est. EV: +8.8%
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Wait

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 30, 2026 (UTC)

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