Prediction Audit: Herrera vs Union Cocle Prediction, Odds & AI Betting Tips

Jul 26, 2026 - 21:00
1 1.21
0 1.39
xG Accuracy: 64%

The model missed the final outcome (Herrera win 1–0).

The model had projected Union Cocle 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Union Cocle Herrera ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Union Cocle higher than the statistical model.

Largest probability gap: Union Cocle -11.8 pp

Outcome Model Closing Market Difference Signal
Herrera 31.0% 20.2% +10.8 pp Model Edge
Draw 29.5% 28.6% +0.9 pp Aligned
Union Cocle 39.5% 51.2% -11.8 pp Market Higher

The closing market estimates Union Cocle's win probability at 51.2%, compared with the model's estimate of 39.5%, a difference of 11.8 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 Herrera win 1–0.

Market Assessment

The market is materially more optimistic about Union Cocle 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

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Union Cocle; match finished Herrera

Market lesson

The closing market differed from the model on Union Cocle by 11.8 percentage points (51.3% vs model 39.5%) — 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. Jul 26, 2026 · 20:59 UTC Forecast generated
    • Model 1X2 · Herrera 31.0% · Draw 29.5% · Union Cocle 39.5%
    • xG · Herrera 1.21 — Union Cocle 1.39
  2. Jul 26, 2026 · 20:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Herrera 4.54 · Draw 3.21 · Union Cocle 1.79
    • Implied 1X2 · Herrera 20.2% · Draw 28.6% · Union Cocle 51.2%
    • Bookmaker · Pinnacle
  3. Jul 26, 2026 · 20:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Herrera 4.54 · Draw 3.21 · Union Cocle 1.79
    • Implied 1X2 · Herrera 20.2% · Draw 28.6% · Union Cocle 51.2%
    • Bookmaker · Pinnacle
  4. Jul 26, 2026 · 21:00 UTC Kickoff
  5. FT Full-time result Herrera win · 1–0
  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) 41/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:00 UTC Snapshot ID: dp-1454798

Closing Odds 1.79
AI Fair Odds —
CLV Pending
Final Result Herrera win · Herrera 1–0 Union Cocle
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: Liga Panameña de Fútbol
  • Fixture: Herrera vs Union Cocle
  • Kickoff: 2026-07-26 21:00:00
  • 1X2 (model): Home 31.0% · Draw 29.5% · Away 39.5%
  • xG (showing): Herrera 1.21 — Union Cocle 1.39 (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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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

September 29, 2026 (UTC)

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Liga Panameña de Fútbol Liga Panameña de Fútbol — Standings
# TEAM MP W D L PTS
1 Plaza Amador 16 9 4 3 31
2 Alianza FC 16 6 9 1 27
3 UMECIT 16 6 7 3 25
4 Veraguas 16 7 4 5 25
5 Union Cocle 16 5 8 3 23
6 Tauro FC 16 5 6 5 21
7 CD Arabe Unido 16 6 3 7 21
8 Independiente de La Chorrera 16 4 8 4 20
9 San Francisco FC 16 5 5 6 20
10 Sporting San Miguelito 16 4 6 6 18
11 Deportivo Universitario 16 3 5 8 14
12 Herrera 16 1 5 10 8
# TEAM MP GS GC +/- PTS
1 Plaza Amador 16 28 16 +12 31
2 UMECIT 16 28 20 +8 25
3 Alianza FC 16 26 20 +6 27
4 Veraguas 16 26 23 +3 25
5 Tauro FC 16 22 19 +3 21
6 San Francisco FC 16 22 25 -3 20
7 Sporting San Miguelito 16 19 21 -2 18
8 Deportivo Universitario 16 19 27 -8 14
9 Independiente de La Chorrera 16 18 14 +4 20
10 Union Cocle 16 16 11 +5 23
11 CD Arabe Unido 16 16 20 -4 21
12 Herrera 16 13 37 -24 8