Predictions / Football / USA. USL League One / Naples vs Chattanooga Red Wolves

Prediction Audit: Naples vs Chattanooga Red Wolves Prediction, Odds & AI Betting Tips

Naples Naples
Sep 26, 2026 - 23:00
1 1.30
0 1.30
xG Accuracy: 64%
Chattanooga Red Wolves Chattanooga Red Wolves

AI correctly predicted the Naples win.

The match finished 1–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 No No ✔ Correct
  • 1X2 Naples Naples ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Naples higher than the statistical model.

Largest probability gap: Naples -5.4 pp

Outcome Model Closing Market Difference Signal
Naples 35.2% 40.6% -5.4 pp Market Higher
Draw 29.6% 26.6% +3.1 pp Aligned
Chattanooga Red Wolves 35.2% 32.9% +2.3 pp Aligned

The closing market estimates Naples's win probability at 40.6%, compared with the model's estimate of 35.2%, a difference of 5.4 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 (Naples win 1–0).

Market Assessment

The market and model broadly agree on Naples. 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

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Naples higher (40.6% vs model 35.2%, 5.4 pp), but the model's lean was validated (Naples win 1–0).

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Prediction Timeline

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

  1. Sep 26, 2026 · 22:59 UTC Forecast generated
    • Model 1X2 · Naples 35.2% · Draw 29.6% · Chattanooga Red Wolves 35.2%
    • xG · Naples 1.30 — Chattanooga Red Wolves 1.30
  2. Sep 26, 2026 · 22:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Naples 2.26 · Draw 3.45 · Chattanooga Red Wolves 2.79
    • Implied 1X2 · Naples 40.6% · Draw 26.6% · Chattanooga Red Wolves 32.9%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 22:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Naples 2.26 · Draw 3.45 · Chattanooga Red Wolves 2.79
    • Implied 1X2 · Naples 40.6% · Draw 26.6% · Chattanooga Red Wolves 32.9%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 23:00 UTC Kickoff
  5. FT Full-time result Naples win · 1–0
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 73/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 03:10 UTC Snapshot ID: dp-10120864

Closing Odds 2.26
AI Fair Odds —
CLV Pending
Final Result Naples win · Naples 1–0 Chattanooga Red Wolves
Prediction ✔ Correct
Decision Grade A

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: Naples vs Chattanooga Red Wolves
  • Kickoff: 2026-09-26 23:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Naples 1.3 — Chattanooga Red Wolves 1.3 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 47.3% · Probability edge: +4.5 pts · Est. EV: +4.6%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: No Primary Bet

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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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