Predictions / Football / Mexico. Liga MX Femenil / Atlas W vs Guadalajara W

Prediction Audit: Atlas W vs Guadalajara W Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 02:06
0 1.12
4 1.48
xG Accuracy: 37%

AI correctly predicted the Guadalajara W win.

The match finished 0–4, validating the model's directional assessment.

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Guadalajara W Guadalajara W ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Guadalajara W higher than the statistical model.

Largest probability gap: Guadalajara W -21.9 pp

Outcome Model Closing Market Difference Signal
Atlas W 27.1% 14.2% +12.9 pp Model Edge
Draw 29.1% 20.1% +9.0 pp Model Higher
Guadalajara W 43.8% 65.7% -21.9 pp Market Higher

The closing market estimates Guadalajara W's win probability at 65.7%, compared with the model's estimate of 43.8%, a difference of 21.9 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 model's directional lean matched the result (Guadalajara W win 0–4).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Guadalajara W attacking xG significantly stronger (1.48 vs 1.12)

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 (4 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Guadalajara W higher (65.7% vs model 43.8%, 21.9 pp), but the model's lean was validated (Guadalajara W win 0–4).

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Prediction Timeline

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

  1. Sep 05, 2026 · 02:05 UTC Forecast generated
    • Model 1X2 · Atlas W 27.1% · Draw 29.1% · Guadalajara W 43.9%
    • xG · Atlas W 1.12 — Guadalajara W 1.48
  2. Sep 05, 2026 · 01:35 UTC Opening odds snapshot PRE30
    • 1X2 odds · Atlas W 6.53 · Draw 4.61 · Guadalajara W 1.41
    • Implied 1X2 · Atlas W 14.2% · Draw 20.1% · Guadalajara W 65.7%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 02:05 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Atlas W 6.53 · Draw 4.61 · Guadalajara W 1.41
    • Implied 1X2 · Atlas W 14.2% · Draw 20.1% · Guadalajara W 65.7%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 02:06 UTC Kickoff
  5. FT Full-time result Guadalajara W win · 0–4
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 00:56 UTC Snapshot ID: dp-6120765

Closing Odds 1.41
AI Fair Odds —
CLV Pending
Final Result Guadalajara W win · Atlas W 0–4 Guadalajara W
Prediction ✔ Correct
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

Quick read on how the model reads this matchup.

  • League: Liga MX Femenil
  • Fixture: Atlas W vs Guadalajara W
  • Kickoff: 2026-09-05 02:06:00
  • 1X2 (model): Home 27.1% · Draw 29.1% · Away 43.9%
  • xG (showing): Atlas W 1.12 — Guadalajara W 1.48 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 53.6% · No 46.4%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.6% · No 46.4%
  • Correct score (top bin): 1-1 (12.3%)

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: Wait

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 29, 2026 (UTC)

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Liga MX Femenil Liga MX Femenil — Standings
# TEAM MP W D L PTS
1 Monterrey W 9 8 0 1 24
2 América W 8 7 1 0 22
3 Tigres UANL W 9 7 1 1 22
4 Juárez W 9 7 0 2 21
5 Guadalajara W 9 6 0 3 18
6 Atlético San Luis W 9 5 1 3 16
7 Toluca W 8 5 1 2 16
8 Pumas UNAM W 9 4 1 4 13
9 León W 8 4 0 4 12
10 Atlas W 9 3 3 3 12
11 Santos Laguna W 9 4 0 5 12
12 Cruz Azul W 9 4 0 5 12
13 Pachuca W 9 3 1 5 10
14 Atlante W 9 2 1 6 7
15 Querétaro W 9 2 0 7 6
16 Tijuana W 9 2 0 7 6
17 Puebla W 9 1 0 8 3
18 Necaxa W 8 0 0 8 0
# TEAM MP GS GC +/- PTS
1 América W 8 37 7 +30 22
2 Monterrey W 9 35 10 +25 24
3 Tigres UANL W 9 29 9 +20 22
4 Atlético San Luis W 9 22 16 +6 16
5 Guadalajara W 9 20 11 +9 18
6 Toluca W 8 19 15 +4 16
7 Pumas UNAM W 9 17 14 +3 13
8 León W 8 15 12 +3 12
9 Juárez W 9 14 6 +8 21
10 Pachuca W 9 13 13 0 10
11 Puebla W 9 13 38 -25 3
12 Santos Laguna W 9 12 20 -8 12
13 Tijuana W 9 12 24 -12 6
14 Cruz Azul W 9 11 21 -10 12
15 Atlas W 9 10 17 -7 12
16 Querétaro W 9 10 21 -11 6
17 Atlante W 9 6 12 -6 7
18 Necaxa W 8 3 32 -29 0