Prediction Audit: Tepatitlán vs CA La Paz Prediction, Odds & AI Betting Tips

Aug 08, 2026 - 01:00
0 1.39
5 1.21
xG Accuracy: 24%

The model missed the final outcome (CA La Paz win 0–5).

The model had projected Tepatitlán at 39.5%, 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 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Tepatitlán CA La Paz ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-5 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Tepatitlán higher than the statistical model.

Largest probability gap: Tepatitlán -5.2 pp

Outcome Model Closing Market Difference Signal
Tepatitlán 39.5% 44.7% -5.2 pp Market Higher
Draw 29.5% 26.0% +3.5 pp Aligned
CA La Paz 31.0% 29.3% +1.7 pp Aligned

The closing market estimates Tepatitlán's win probability at 44.7%, compared with the model's estimate of 39.5%, a difference of 5.2 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 CA La Paz win 0–5.

Market Assessment

The market and model broadly agree on Tepatitlán. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)

Market lesson

The closing market differed from the model on Tepatitlán by 5.2 percentage points (44.7% vs model 39.5%) — 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. Aug 08, 2026 · 00:59 UTC Forecast generated
    • Model 1X2 · Tepatitlán 39.5% · Draw 29.5% · CA La Paz 31.0%
    • xG · Tepatitlán 1.39 — CA La Paz 1.21
  2. Aug 08, 2026 · 00:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Tepatitlán 2.13 · Draw 3.66 · CA La Paz 3.25
    • Implied 1X2 · Tepatitlán 44.7% · Draw 26.0% · CA La Paz 29.3%
    • Bookmaker · Pinnacle
  3. Aug 08, 2026 · 00:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Tepatitlán 2.13 · Draw 3.66 · CA La Paz 3.25
    • Implied 1X2 · Tepatitlán 44.7% · Draw 26.0% · CA La Paz 29.3%
    • Bookmaker · Pinnacle
  4. Aug 08, 2026 · 01:00 UTC Kickoff
  5. FT Full-time result CA La Paz win · 0–5
  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: Observe
Historical Decision No Primary Bet
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
Market Compatibility 73/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 02, 2026 · 00:49 UTC Snapshot ID: dp-2806616

Closing Odds 2.13
AI Fair Odds —
CLV Pending
Final Result CA La Paz win · Tepatitlán 0–5 CA La Paz
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

Pre-match snapshot for this fixture.

  • League: Liga de Expansión MX
  • Fixture: Tepatitlán vs CA La Paz
  • Kickoff: 2026-08-08 01:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Tepatitlán 1.39 — CA La Paz 1.21 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • 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.

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: 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 29, 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