Predictions / Football / Panama. Liga Panameña de Fútbol / Union Cocle vs San Francisco FC

Prediction Audit: Union Cocle vs San Francisco FC Prediction, Odds & AI Betting Tips

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Union Cocle
Aug 02, 2026 - 21:00
2 1.30
1 1.30
xG Accuracy: 76%
San Francisco FC San Francisco FC

AI correctly predicted the Union Cocle win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 Yes ✔ Correct
  • 1X2 Union Cocle Union Cocle ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: San Francisco FC +2.6 pp

Outcome Model Closing Market Difference Signal
Union Cocle 35.2% 36.4% -1.2 pp Aligned
Draw 29.6% 31.1% -1.4 pp Aligned
San Francisco FC 35.2% 32.5% +2.6 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 model's directional lean matched the result (Union Cocle win 2–1).

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
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The model's directional lean matched the full-time result (Union Cocle win 2–1).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 02, 2026 · 20:59 UTC Forecast generated
    • Model 1X2 · Union Cocle 35.2% · Draw 29.6% · San Francisco FC 35.2%
    • xG · Union Cocle 1.30 — San Francisco FC 1.30
  2. Aug 02, 2026 · 20:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Union Cocle 2.52 · Draw 2.95 · San Francisco FC 2.82
    • Implied 1X2 · Union Cocle 36.4% · Draw 31.1% · San Francisco FC 32.5%
    • Bookmaker · Pinnacle
  3. Aug 02, 2026 · 20:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Union Cocle 2.52 · Draw 2.95 · San Francisco FC 2.82
    • Implied 1X2 · Union Cocle 36.4% · Draw 31.1% · San Francisco FC 32.5%
    • Bookmaker · Pinnacle
  4. Aug 02, 2026 · 21:00 UTC Kickoff
  5. FT Full-time result Union Cocle win · 2–1
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 86/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 01:58 UTC Snapshot ID: dp-1956565

Closing Odds 2.82
AI Fair Odds —
CLV Pending
Final Result Union Cocle win · Union Cocle 2–1 San Francisco FC
Prediction ✔ Correct
Decision Grade B-

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

Pre-match snapshot for this fixture.

  • League: Liga Panameña de Fútbol
  • Fixture: Union Cocle vs San Francisco FC
  • Kickoff: 2026-08-02 21:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Union Cocle 1.3 — San Francisco FC 1.3 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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: Validated — Pre-match lean validated against 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
Liga Panameña de Fútbol Panama. Liga Panameña de Fútbol Predictions