Predictions / Football / USA. USL League One / Westchester SC vs Naples

Prediction Audit: Westchester SC vs Naples Prediction, Odds & AI Betting Tips

Westchester SC Westchester SC
Aug 15, 2026 - 23:00
3 1.27
2 1.33
xG Accuracy: 52%
Naples Naples

The model missed the final outcome (Westchester SC win 3–2).

The model had projected Naples at 36.6%, 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 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Naples Westchester SC ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Westchester SC higher than the statistical model.

Largest probability gap: Westchester SC -9.2 pp

Outcome Model Closing Market Difference Signal
Westchester SC 33.8% 43.0% -9.2 pp Market Higher
Draw 29.6% 27.1% +2.5 pp Aligned
Naples 36.6% 29.9% +6.7 pp Model Higher

The closing market estimates Westchester SC's win probability at 43.0%, compared with the model's estimate of 33.8%, a difference of 9.2 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 Westchester SC win 3–2.

Market Assessment

The market and model broadly agree on Westchester SC. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 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 (5 goals)
  • 1X2: model leaned Naples; match finished Westchester SC

Market lesson

The closing market differed from the model on Naples by 9.2 percentage points (45.8% vs model 36.6%) — 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 15, 2026 · 22:59 UTC Forecast generated
    • Model 1X2 · Westchester SC 33.8% · Draw 29.6% · Naples 36.6%
    • xG · Westchester SC 1.27 — Naples 1.33
  2. Aug 15, 2026 · 22:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Westchester SC 2.13 · Draw 3.38 · Naples 3.06
    • Implied 1X2 · Westchester SC 43.0% · Draw 27.1% · Naples 29.9%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 22:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Westchester SC 2.13 · Draw 3.38 · Naples 3.06
    • Implied 1X2 · Westchester SC 43.0% · Draw 27.1% · Naples 29.9%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 23:00 UTC Kickoff
  5. FT Full-time result Westchester SC win · 3–2
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 18/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 03:27 UTC Snapshot ID: dp-3369689

Closing Odds 2.13
AI Fair Odds —
CLV Pending
Final Result Westchester SC win · Westchester SC 3–2 Naples
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: USL League One
  • Fixture: Westchester SC vs Naples
  • Kickoff: 2026-08-15 23:00:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Westchester SC 1.27 — Naples 1.33 (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 (12.5%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 28, 2026 (UTC)

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USL League One USL League One — Standings
# TEAM MP W D L PTS
1 Union Omaha 28 18 4 6 58
2 Charlotte Independence 28 17 6 5 57
3 Forward Madison 28 15 6 7 51
4 One Knoxville 27 13 8 6 47
5 Boise 27 13 7 7 46
6 Chattanooga Red Wolves 26 13 4 9 43
7 Spokane Velocity 25 13 4 8 43
8 Fort Wayne 27 10 8 9 38
9 Sarasota Paradise 27 9 6 12 33
10 Corpus Christi 26 8 9 9 33
11 Alta 28 8 8 12 32
12 Portland Hearts of Pine 28 7 9 12 30
13 Westchester SC 27 8 5 14 29
14 Naples 26 8 4 14 28
15 Greenville Triumph 26 6 5 15 23
16 NY Cosmos 26 6 4 16 22
17 Richmond Kickers 26 5 5 16 20
18 Tormenta 0 0 0 0 0
# TEAM MP GS GC +/- PTS
1 Charlotte Independence 28 64 40 +24 57
2 Forward Madison 28 50 27 +23 51
3 Union Omaha 28 50 30 +20 58
4 Chattanooga Red Wolves 26 47 38 +9 43
5 Westchester SC 27 46 45 +1 29
6 One Knoxville 27 44 31 +13 47
7 Boise 27 43 37 +6 46
8 Fort Wayne 27 42 36 +6 38
9 Portland Hearts of Pine 28 40 50 -10 30
10 Spokane Velocity 25 37 33 +4 43
11 Sarasota Paradise 27 37 40 -3 33
12 Alta 28 34 40 -6 32
13 NY Cosmos 26 32 52 -20 22
14 Corpus Christi 26 30 36 -6 33
15 Naples 26 29 43 -14 28
16 Greenville Triumph 26 29 48 -19 23
17 Richmond Kickers 26 25 53 -28 20
18 Tormenta 0 0 0 0 0
USL League One USA. USL League One Predictions