Predictions / Football / USA. USL Super League / Lexington W vs Carolina Ascent W

Prediction Audit: Lexington W vs Carolina Ascent W Prediction, Odds & AI Betting Tips

Sep 11, 2026 - 23:30
0 1.31
1 1.29
xG Accuracy: 64%

The model missed the final outcome (Carolina Ascent W win 0–1).

The model had projected Lexington W at 35.6%, 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Lexington W Carolina Ascent W ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Carolina Ascent W -4.3 pp

Outcome Model Closing Market Difference Signal
Lexington W 35.6% 33.1% +2.6 pp Aligned
Draw 29.6% 27.9% +1.7 pp Aligned
Carolina Ascent W 34.7% 39.0% -4.3 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 result was Carolina Ascent W win 0–1.

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

  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Lexington W; match finished Carolina Ascent W

Market lesson

The full-time result was Carolina Ascent W win 0–1, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Sep 11, 2026 · 23:29 UTC Forecast generated
    • Model 1X2 · Lexington W 35.6% · Draw 29.7% · Carolina Ascent W 34.7%
    • xG · Lexington W 1.31 — Carolina Ascent W 1.29
  2. Sep 11, 2026 · 22:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Lexington W 2.74 · Draw 3.23 · Carolina Ascent W 2.32
    • Implied 1X2 · Lexington W 33.0% · Draw 28.0% · Carolina Ascent W 39.0%
    • Bookmaker · Pinnacle
  3. Sep 11, 2026 · 23:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Lexington W 2.77 · Draw 3.28 · Carolina Ascent W 2.35
    • Implied 1X2 · Lexington W 33.1% · Draw 27.9% · Carolina Ascent W 39.0%
    • Bookmaker · Pinnacle
  4. Sep 11, 2026 · 23:30 UTC Kickoff
  5. FT Full-time result Carolina Ascent W win · 0–1
  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 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 27/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 05, 2026 · 07:25 UTC Snapshot ID: dp-7093633

Closing Odds 2.35
AI Fair Odds —
CLV Pending
Final Result Carolina Ascent W win · Lexington W 0–1 Carolina Ascent W
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: USL Super League
  • Fixture: Lexington W vs Carolina Ascent W
  • Kickoff: 2026-09-11 23:30:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Lexington W 1.31 — Carolina Ascent W 1.29 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

October 01, 2026 (UTC)

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USL Super League USL Super League — Standings
# TEAM MP W D L PTS
1 Carolina Ascent W 7 5 1 1 16
2 DC Power W 7 3 2 2 11
3 Sporting JAX 7 3 2 2 11
4 Dallas Trinity W 7 3 1 3 10
5 Lexington W 5 3 0 2 9
6 Tampa Bay Sun W 5 2 2 1 8
7 Fort Lauderdale United W 6 1 0 5 3
8 Brooklyn W 6 1 0 5 3
# TEAM MP GS GC +/- PTS
1 Carolina Ascent W 7 13 6 +7 16
2 Sporting JAX 7 12 10 +2 11
3 DC Power W 7 11 8 +3 11
4 Dallas Trinity W 7 9 11 -2 10
5 Lexington W 5 8 3 +5 9
6 Tampa Bay Sun W 5 8 7 +1 8
7 Fort Lauderdale United W 6 4 10 -6 3
8 Brooklyn W 6 4 14 -10 3