Prediction Audit: Piratas vs Monarcas Prediction, Odds & AI Betting Tips

Aug 02, 2026 - 01:00
1 1.27
0 1.33
xG Accuracy: 64%

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

The model had projected Monarcas at 36.6%, 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 Monarcas Piratas ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates Monarcas considerably stronger than the closing betting market.

Largest probability gap: Monarcas +6.6 pp

Outcome Model Closing Market Difference Signal
Piratas 33.8% 40.0% -6.2 pp Market Higher
Draw 29.6% 30.0% -0.4 pp Aligned
Monarcas 36.6% 29.9% +6.6 pp Model Higher

The statistical model estimates Monarcas's win probability at 36.6%, compared with the closing market's implied probability of 29.9%, a difference of 6.6 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 Piratas win 1–0.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Monarcas.

  • Monitor line movement before kickoff — not a betting recommendation.

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 Monarcas; match finished Piratas

Market lesson

The closing market differed from the model on Monarcas by 6.6 percentage points (30.0% vs model 36.6%) — 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 02, 2026 · 00:59 UTC Forecast generated
    • Model 1X2 · Piratas 33.8% · Draw 29.6% · Monarcas 36.6%
    • xG · Piratas 1.27 — Monarcas 1.33
  2. Aug 02, 2026 · 00:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Piratas 2.38 · Draw 3.17 · Monarcas 3.18
    • Implied 1X2 · Piratas 40.0% · Draw 30.0% · Monarcas 29.9%
    • Bookmaker · Pinnacle
  3. Aug 02, 2026 · 00:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Piratas 2.38 · Draw 3.17 · Monarcas 3.18
    • Implied 1X2 · Piratas 40.0% · Draw 30.0% · Monarcas 29.9%
    • Bookmaker · Pinnacle
  4. Aug 02, 2026 · 01:00 UTC Kickoff
  5. FT Full-time result Piratas 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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 23/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 00:44 UTC Snapshot ID: dp-1939938

Closing Odds 3.18
AI Fair Odds —
CLV Pending
Final Result Piratas win · Piratas 1–0 Monarcas
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 de Expansión MX
  • Fixture: Piratas vs Monarcas
  • Kickoff: 2026-08-02 01:00:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Piratas 1.27 — Monarcas 1.33 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.9%, 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 54.5% · 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 (12.5%)

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.

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 28, 2026 (UTC)

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Liga de Expansión MX Liga de Expansión MX — Standings
# TEAM MP W D L PTS
1 Monarcas 9 7 0 2 21
2 CA La Paz 10 6 2 2 20
3 Leones Negros UDG 10 6 2 2 20
4 Mineros de Zacatecas 10 5 2 3 17
5 Piratas 10 4 3 3 15
6 Correcaminos Uat 10 4 3 3 15
7 Cancún 9 4 2 3 14
8 Tapatío 9 4 2 3 14
9 Dorados 9 3 4 2 13
10 Venados FC 9 4 1 4 13
11 Durango 9 3 2 4 11
12 CDS Tampico Madero 10 3 2 5 11
13 Alebrijes de Oaxaca 10 3 1 6 10
14 Tlaxcala 9 2 2 5 8
15 Cruz Azul Hidalgo 10 1 4 5 7
16 Tepatitlán 9 1 0 8 3
# TEAM MP GS GC +/- PTS
1 CA La Paz 10 23 11 +12 20
2 Venados FC 9 22 19 +3 13
3 Leones Negros UDG 10 21 13 +8 20
4 Mineros de Zacatecas 10 21 15 +6 17
5 Monarcas 9 19 9 +10 21
6 Correcaminos Uat 10 19 18 +1 15
7 Cancún 9 17 11 +6 14
8 Dorados 9 17 13 +4 13
9 Tapatío 9 17 14 +3 14
10 Tlaxcala 9 14 21 -7 8
11 Piratas 10 12 10 +2 15
12 CDS Tampico Madero 10 11 16 -5 11
13 Cruz Azul Hidalgo 10 11 18 -7 7
14 Alebrijes de Oaxaca 10 8 18 -10 10
15 Durango 9 6 9 -3 11
16 Tepatitlán 9 5 28 -23 3