Prediction Audit: UNAN Managua vs Jalapa Prediction, Odds & AI Betting Tips

Aug 17, 2026 - 00:00
2 1.17
1 1.43
xG Accuracy: 71%

The model missed the final outcome (UNAN Managua win 2–1).

The model had projected Jalapa 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Jalapa UNAN Managua ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 2-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices UNAN Managua higher than the statistical model.

Largest probability gap: UNAN Managua -12.7 pp

Outcome Model Closing Market Difference Signal
UNAN Managua 29.2% 41.9% -12.7 pp Market Higher
Draw 29.4% 26.3% +3.0 pp Aligned
Jalapa 41.4% 31.8% +9.6 pp Model Higher

The closing market estimates UNAN Managua's win probability at 41.9%, compared with the model's estimate of 29.2%, a difference of 12.7 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 UNAN Managua win 2–1.

Market Assessment

The market is materially more optimistic about UNAN Managua 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
  • 1X2: model leaned Jalapa; match finished UNAN Managua

Market lesson

The closing market differed from the model on Jalapa by 12.7 percentage points (54.1% 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. Aug 16, 2026 · 23:59 UTC Forecast generated
    • Model 1X2 · UNAN Managua 29.3% · Draw 29.4% · Jalapa 41.4%
    • xG · UNAN Managua 1.17 — Jalapa 1.43
  2. Aug 16, 2026 · 23:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · UNAN Managua 2.16 · Draw 3.44 · Jalapa 2.85
    • Implied 1X2 · UNAN Managua 41.9% · Draw 26.3% · Jalapa 31.8%
    • Bookmaker · Pinnacle
  3. Aug 16, 2026 · 23:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · UNAN Managua 2.16 · Draw 3.44 · Jalapa 2.85
    • Implied 1X2 · UNAN Managua 41.9% · Draw 26.3% · Jalapa 31.8%
    • Bookmaker · Pinnacle
  4. Aug 17, 2026 · 00:00 UTC Kickoff
  5. FT Full-time result UNAN Managua win · 2–1
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (13 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 12/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 11, 2026 · 02:07 UTC Snapshot ID: dp-3617414

Closing Odds 2.16
AI Fair Odds —
CLV Pending
Final Result UNAN Managua win · UNAN Managua 2–1 Jalapa
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: Primera Division
  • Fixture: UNAN Managua vs Jalapa
  • Kickoff: 2026-08-17 00:00:00
  • 1X2 (model): Home 29.3% · Draw 29.4% · Away 41.4%
  • xG (showing): UNAN Managua 1.17 — Jalapa 1.43 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.1%, still below the +2.0% minimum for a headline / default stake (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 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

October 01, 2026 (UTC)

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Primera Division Primera Division — Standings
# TEAM MP W D L PTS
1 Managua 9 7 2 0 23
2 Diriangén 9 6 3 0 21
3 Real Estelí 9 5 3 1 18
4 UNAN Managua 9 5 2 2 17
5 San Marcos 9 3 2 4 11
6 H&H Export 9 3 2 4 11
7 Matagalpa 9 3 0 6 9
8 Walter Ferretti 10 2 1 7 7
9 Jalapa 10 2 1 7 7
10 Rancho Santana 9 1 2 6 5
# TEAM MP GS GC +/- PTS
1 Managua 9 27 9 +18 23
2 Diriangén 9 18 7 +11 21
3 Real Estelí 9 17 6 +11 18
4 Walter Ferretti 10 12 17 -5 7
5 UNAN Managua 9 11 7 +4 17
6 San Marcos 9 9 12 -3 11
7 H&H Export 9 9 17 -8 11
8 Rancho Santana 9 7 14 -7 5
9 Jalapa 10 5 14 -9 7
10 Matagalpa 9 4 16 -12 9