Predictions / Football / Guatemala. Liga Nacional / Comunicaciones vs Marquense

Prediction Audit: Comunicaciones vs Marquense Prediction, Odds & AI Betting Tips

Comunicaciones Comunicaciones
Sep 10, 2026 - 00:00
0 1.35
2 1.25
xG Accuracy: 56%
Marquense Marquense

The model missed the final outcome (Marquense win 0–2).

The model had projected Comunicaciones at 37.5%, 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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Comunicaciones Marquense ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Comunicaciones higher than the statistical model.

Largest probability gap: Comunicaciones -20.4 pp

Outcome Model Closing Market Difference Signal
Comunicaciones 37.5% 58.0% -20.4 pp Market Higher
Draw 29.6% 25.3% +4.3 pp Aligned
Marquense 32.9% 16.7% +16.1 pp Model Edge

The closing market estimates Comunicaciones's win probability at 58.0%, compared with the model's estimate of 37.5%, a difference of 20.4 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 Marquense win 0–2.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)

Market lesson

The closing market differed from the model on Comunicaciones by 20.4 percentage points (57.9% vs model 37.5%) — 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 09, 2026 · 23:59 UTC Forecast generated
    • Model 1X2 · Comunicaciones 37.6% · Draw 29.6% · Marquense 32.9%
    • xG · Comunicaciones 1.35 — Marquense 1.25
  2. Sep 09, 2026 · 23:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Comunicaciones 1.57 · Draw 3.60 · Marquense 5.44
    • Implied 1X2 · Comunicaciones 58.0% · Draw 25.3% · Marquense 16.7%
    • Bookmaker · Pinnacle
  3. Sep 09, 2026 · 23:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Comunicaciones 1.57 · Draw 3.60 · Marquense 5.44
    • Implied 1X2 · Comunicaciones 58.0% · Draw 25.3% · Marquense 16.7%
    • Bookmaker · Pinnacle
  4. Sep 10, 2026 · 00:00 UTC Kickoff
  5. FT Full-time result Marquense win · 0–2
  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 53/100 · Moderate
  • Validation: Warning
  • Large market gap (20 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 04, 2026 · 01:21 UTC Snapshot ID: dp-6846752

Closing Odds 1.57
AI Fair Odds —
CLV Pending
Final Result Marquense win · Comunicaciones 0–2 Marquense
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 Nacional
  • Fixture: Comunicaciones vs Marquense
  • Kickoff: 2026-09-10 00:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Comunicaciones 1.35 — Marquense 1.25 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

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

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 28, 2026 (UTC)

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