Predictions / Football / Mexico. Liga MX / Cruz Azul vs Puebla

Prediction Audit: Cruz Azul vs Puebla Prediction, Odds & AI Betting Tips

Jul 22, 2026 - 01:00
2 2.65
1 0.94
xG Accuracy: 82%

AI correctly predicted the Cruz Azul win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 Yes ✔ Correct
  • 1X2 Cruz Azul Cruz Azul ✔ Correct
  • Correct Score Insights 2-0, 2-1, 3-0, 3-1, 1-0 2-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Puebla -1.9 pp

Outcome Model Closing Market Difference Signal
Cruz Azul 72.8% 71.2% +1.6 pp Aligned
Draw 17.1% 16.8% +0.2 pp Aligned
Puebla 10.1% 12.0% -1.9 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (Cruz Azul win 2–1).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.59) — 3 goals materialised
  • Cruz Azul attacking xG significantly stronger (2.65 vs 0.94)
  • Both Teams To Score (Yes) matched the full-time result

Market lesson

The model's directional lean matched the full-time result (Cruz Azul win 2–1).

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Prediction Timeline

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

  1. Jul 22, 2026 · 00:59 UTC Forecast generated
    • Model 1X2 · Cruz Azul 72.9% · Draw 17.1% · Puebla 10.1%
    • xG · Cruz Azul 2.65 — Puebla 0.94
  2. Jul 22, 2026 · 00:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Cruz Azul 1.35 · Draw 5.71 · Puebla 8.04
    • Implied 1X2 · Cruz Azul 71.2% · Draw 16.8% · Puebla 12.0%
    • Bookmaker · Pinnacle
  3. Jul 22, 2026 · 00:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Cruz Azul 1.35 · Draw 5.71 · Puebla 8.04
    • Implied 1X2 · Cruz Azul 71.2% · Draw 16.8% · Puebla 12.0%
    • Bookmaker · Pinnacle
  4. Jul 22, 2026 · 01:00 UTC Kickoff
  5. FT Full-time result Cruz Azul win · 2–1
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 66/100 · Moderate
  • Validation: Pass
  • High xG deviation from league baseline (96%+)
Evidence ★★★★★
  • Strong model lean
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 90/100
Betting Confidence 69/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 30, 2026 · 14:03 UTC Snapshot ID: dp-2516449

Closing Odds 8.04
AI Fair Odds —
CLV Pending
Final Result Cruz Azul win · Cruz Azul 2–1 Puebla
Prediction ✔ Correct
Decision Grade A

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 MX
  • Fixture: Cruz Azul vs Puebla
  • Kickoff: 2026-07-22 01:00:00
  • 1X2 (model): Home 72.9% · Draw 17.1% · Away 10.1%
  • xG (showing): Cruz Azul 2.65 — Puebla 0.94 (total xG ≈ 3.59)
  • 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 Over 2.5 (Under 2.5 30.4% · Over 2.5 69.5%); BTTS Yes (Yes 57.5% · No 42.5%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 57.5% · No 42.5%
  • Correct score (top bin): 2-0 (9.7%)

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: No Primary Bet

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 28, 2026 (UTC)

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Liga MX Liga MX — Standings
# TEAM MP W D L PTS
1 Toluca 10 6 2 2 20
2 Guadalajara Chivas 10 5 3 2 18
3 Club America 8 5 2 1 17
4 Club Queretaro 9 5 2 2 17
5 Atlas 10 5 2 3 17
6 Cruz Azul 10 5 1 4 16
7 Leon 9 4 2 3 14
8 Club Tijuana 9 4 2 3 14
9 Puebla 10 4 2 4 14
10 Monterrey 9 4 1 4 13
11 Pachuca 10 3 3 4 12
12 U.N.A.M. - Pumas 10 3 3 4 12
13 Atletico San Luis 10 3 3 4 12
14 Atlante FC 10 2 5 3 11
15 Tigres UANL 10 2 4 4 10
16 Santos Laguna 10 3 1 6 10
17 Necaxa 9 2 2 5 8
18 FC Juarez 9 1 0 8 3
# TEAM MP GS GC +/- PTS
1 Toluca 10 23 12 +11 20
2 Cruz Azul 10 19 18 +1 16
3 Club America 8 17 8 +9 17
4 Guadalajara Chivas 10 17 10 +7 18
5 Monterrey 9 16 14 +2 13
6 Atlas 10 16 17 -1 17
7 Pachuca 10 15 11 +4 12
8 Club Tijuana 9 14 13 +1 14
9 U.N.A.M. - Pumas 10 14 16 -2 12
10 Atletico San Luis 10 14 18 -4 12
11 Club Queretaro 9 13 8 +5 17
12 Leon 9 12 10 +2 14
13 Atlante FC 10 12 15 -3 11
14 Puebla 10 11 12 -1 14
15 Tigres UANL 10 10 13 -3 10
16 Santos Laguna 10 10 15 -5 10
17 Necaxa 9 10 16 -6 8
18 FC Juarez 9 6 23 -17 3
# TEAM MP xG xGC +/- PTS
1 Club Tijuana 9 8.2 3.2 +5.0 14
2 Cruz Azul 10 11.3 7.5 +3.8 16
3 Monterrey 9 9.8 6.2 +3.6 13
4 Club America 8 9.7 6.1 +3.6 17
5 Toluca 10 8.9 6.1 +2.8 20
6 Tigres UANL 10 9.7 7.3 +2.4 10
7 Guadalajara Chivas 10 8.1 5.8 +2.3 18
8 Necaxa 9 6.8 6.1 +0.7 8
9 Santos Laguna 10 10.1 9.7 +0.4 10
10 Club Queretaro 9 8.6 8.8 -0.2 17
11 Leon 9 8.7 9.4 -0.7 14
12 Puebla 10 7.3 8.9 -1.6 14
13 U.N.A.M. - Pumas 10 6.4 8.0 -1.6 12
14 Pachuca 10 7.4 9.2 -1.8 12
15 Atlas 10 6.6 9.5 -2.9 17
16 Atletico San Luis 10 7.8 11.1 -3.3 12
17 Atlante FC 10 6.3 10.1 -3.8 11
18 FC Juarez 9 4.7 13.4 -8.7 3