Predictions / Football / World. Leagues Cup / Orlando City SC vs Atletico San Luis

Prediction Audit: Orlando City SC vs Atletico San Luis Prediction, Odds & AI Betting Tips

Aug 12, 2026 - 23:30
2(5) 1.37
2(3) 1.23
xG Accuracy: 68%

The model missed the final outcome (Draw 2–2).

The model had projected Orlando City SC at 38.5%, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Orlando City SC Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Orlando City SC higher than the statistical model.

Largest probability gap: Orlando City SC -22.2 pp

Outcome Model Closing Market Difference Signal
Orlando City SC 38.5% 60.7% -22.2 pp Market Higher
Draw 29.6% 20.0% +9.6 pp Model Higher
Atletico San Luis 31.9% 19.3% +12.6 pp Model Edge

The closing market estimates Orlando City SC's win probability at 60.7%, compared with the model's estimate of 38.5%, a difference of 22.2 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 Draw 2–2.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Orlando City SC; match finished Draw

Market lesson

The closing market differed from the model on Orlando City SC by 22.2 percentage points (60.7% vs model 38.5%) — 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 12, 2026 · 23:29 UTC Forecast generated
    • Model 1X2 · Orlando City SC 38.5% · Draw 29.6% · Atletico San Luis 31.9%
    • xG · Orlando City SC 1.37 — Atletico San Luis 1.23
  2. Aug 12, 2026 · 22:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Orlando City SC 1.56 · Draw 4.73 · Atletico San Luis 4.90
    • Implied 1X2 · Orlando City SC 60.7% · Draw 20.0% · Atletico San Luis 19.3%
    • Bookmaker · Pinnacle
  3. Aug 12, 2026 · 23:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Orlando City SC 1.56 · Draw 4.73 · Atletico San Luis 4.90
    • Implied 1X2 · Orlando City SC 60.7% · Draw 20.0% · Atletico San Luis 19.3%
    • Bookmaker · Pinnacle
  4. Aug 12, 2026 · 23:30 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
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 06, 2026 · 01:42 UTC Snapshot ID: dp-3096189

Closing Odds 1.56
AI Fair Odds —
CLV Pending
Final Result Draw · Orlando City SC 2–2 Atletico San Luis
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

Quick read on how the model reads this matchup.

  • League: Leagues Cup
  • Fixture: Orlando City SC vs Atletico San Luis
  • Kickoff: 2026-08-12 23:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Orlando City SC 1.37 — Atletico San Luis 1.23 (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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Historical Recommendation

Historical Decision: Wait

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 30, 2026 (UTC)

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