Predictions / Football / Mexico. Liga MX / Leon vs Monterrey

Prediction Audit: Leon vs Monterrey Prediction, Odds & AI Betting Tips

Aug 22, 2026 - 01:00
2 0.80
0 1.54
xG Accuracy: 47%

The model missed the final outcome (Leon win 2–0).

The model had projected Monterrey at 49.9%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Monterrey Leon ✖ Incorrect
  • Correct Score Insights 0-1, 1-1, 0-2, 0-0, 1-2 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Leon higher than the statistical model.

Largest probability gap: Leon -10.6 pp

Outcome Model Closing Market Difference Signal
Leon 21.5% 32.1% -10.6 pp Market Higher
Draw 28.6% 27.1% +1.6 pp Aligned
Monterrey 49.9% 40.9% +9.0 pp Model Higher

The closing market estimates Leon's win probability at 32.1%, compared with the model's estimate of 21.5%, a difference of 10.6 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 Leon win 2–0.

Market Assessment

The market is materially more optimistic about Leon 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

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Monterrey; match finished Leon
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Monterrey by 10.6 percentage points (60.5% vs model 49.9%) — 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 22, 2026 · 13:06 UTC Forecast generated
    • Model 1X2 · Leon 21.5% · Draw 28.6% · Monterrey 49.9%
    • xG · Leon 0.80 — Monterrey 1.54
  2. Aug 22, 2026 · 00:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Leon 3.02 · Draw 3.58 · Monterrey 2.37
    • Implied 1X2 · Leon 32.1% · Draw 27.1% · Monterrey 40.9%
    • Bookmaker · Pinnacle
  3. Aug 22, 2026 · 00:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Leon 3.02 · Draw 3.58 · Monterrey 2.37
    • Implied 1X2 · Leon 32.1% · Draw 27.1% · Monterrey 40.9%
    • Bookmaker · Pinnacle
  4. Aug 22, 2026 · 01:00 UTC Kickoff
  5. FT Full-time result Leon win · 2–0
  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 58/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • Moderate model lean
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 47/100
Betting Confidence 46/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 17, 2026 · 00:45 UTC Snapshot ID: dp-4356612

Closing Odds 3.02
AI Fair Odds —
CLV Pending
Final Result Leon win · Leon 2–0 Monterrey
Prediction ✖ Missed
Decision Grade C

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

Quick read on how the model reads this matchup.

  • League: Liga MX
  • Fixture: Leon vs Monterrey
  • Kickoff: 2026-08-22 01:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Leon 0.8 — Monterrey 1.54 (total xG ≈ 2.34)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 29, 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