Predictions / Football / Chile. Copa Chile / Universidad de Chile vs Everton de Vina

Prediction Audit: Universidad de Chile vs Everton de Vina Prediction, Odds & AI Betting Tips

Sep 27, 2026 - 20:30
1 1.43
1 1.17
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Universidad de Chile at 41.4%, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Universidad de Chile Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Universidad de Chile higher than the statistical model.

Largest probability gap: Universidad de Chile -9.2 pp

Outcome Model Closing Market Difference Signal
Universidad de Chile 41.4% 50.6% -9.2 pp Market Higher
Draw 29.4% 24.5% +4.8 pp Aligned
Everton de Vina 29.2% 24.9% +4.4 pp Aligned

The closing market estimates Universidad de Chile's win probability at 50.6%, compared with the model's estimate of 41.4%, a difference of 9.2 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 Draw 1–1.

Market Assessment

The market and model broadly agree on Universidad de Chile. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 1X2: model leaned Universidad de Chile; match finished Draw

Market lesson

The closing market differed from the model on Universidad de Chile by 9.2 percentage points (50.6% vs model 41.4%) — 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 27, 2026 · 20:29 UTC Forecast generated
    • Model 1X2 · Universidad de Chile 41.4% · Draw 29.4% · Everton de Vina 29.3%
    • xG · Universidad de Chile 1.43 — Everton de Vina 1.17
  2. Sep 27, 2026 · 19:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Universidad de Chile 1.81 · Draw 3.73 · Everton de Vina 3.68
    • Implied 1X2 · Universidad de Chile 50.6% · Draw 24.5% · Everton de Vina 24.9%
    • Bookmaker · Pinnacle
  3. Sep 27, 2026 · 20:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Universidad de Chile 1.81 · Draw 3.73 · Everton de Vina 3.68
    • Implied 1X2 · Universidad de Chile 50.6% · Draw 24.5% · Everton de Vina 24.9%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 20:30 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 54/100
Betting Confidence 77/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:26 UTC Snapshot ID: dp-10111965

Closing Odds 1.81
AI Fair Odds —
CLV Pending
Final Result Draw · Universidad de Chile 1–1 Everton de Vina
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 Chile
  • Fixture: Universidad de Chile vs Everton de Vina
  • Kickoff: 2026-09-27 20:30:00
  • 1X2 (model): Home 41.4% · Draw 29.4% · Away 29.3%
  • xG (showing): Universidad de Chile 1.43 — Everton de Vina 1.17 (total xG ≈ 2.6)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 51.8% · Implied: 43.9% · Probability edge: +8.0 pts · Est. EV: +11.4%
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

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: 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 30, 2026 (UTC)

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