Prediction Audit: CD Motagua vs Alianza Prediction, Odds & AI Betting Tips

Sep 10, 2026 - 03:06
3 1.35
0 1.25
xG Accuracy: 45%

AI correctly predicted the CD Motagua win.

The match finished 3–0, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 CD Motagua CD Motagua ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices CD Motagua higher than the statistical model.

Largest probability gap: CD Motagua -21.1 pp

Outcome Model Closing Market Difference Signal
CD Motagua 37.5% 58.6% -21.1 pp Market Higher
Draw 29.6% 24.6% +5.0 pp Aligned
Alianza 32.9% 16.8% +16.1 pp Model Edge

The closing market estimates CD Motagua's win probability at 58.6%, compared with the model's estimate of 37.5%, a difference of 21.1 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 model's directional lean matched the result (CD Motagua win 3–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced CD Motagua higher (58.6% vs model 37.5%, 21.1 pp), but the model's lean was validated (CD Motagua win 3–0).

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Prediction Timeline

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

  1. Sep 10, 2026 · 03:05 UTC Forecast generated
    • Model 1X2 · CD Motagua 37.6% · Draw 29.6% · Alianza 32.9%
    • xG · CD Motagua 1.35 — Alianza 1.25
  2. Sep 10, 2026 · 02:35 UTC Opening odds snapshot PRE30
    • 1X2 odds · CD Motagua 1.54 · Draw 3.67 · Alianza 5.39
    • Implied 1X2 · CD Motagua 58.6% · Draw 24.6% · Alianza 16.8%
    • Bookmaker · Pinnacle
  3. Sep 10, 2026 · 03:05 UTC Closing snapshot recorded PRE1
    • 1X2 odds · CD Motagua 1.54 · Draw 3.67 · Alianza 5.39
    • Implied 1X2 · CD Motagua 58.6% · Draw 24.6% · Alianza 16.8%
    • Bookmaker · Pinnacle
  4. Sep 10, 2026 · 03:06 UTC Kickoff
  5. FT Full-time result CD Motagua win · 3–0
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (21 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 04, 2026 · 07:19 UTC Snapshot ID: dp-6889620

Closing Odds 1.54
AI Fair Odds —
CLV Pending
Final Result CD Motagua win · CD Motagua 3–0 Alianza
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: CONCACAF Central American Cup
  • Fixture: CD Motagua vs Alianza
  • Kickoff: 2026-09-10 03:06:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): CD Motagua 1.35 — Alianza 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: 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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