Predictions / Football / USA. USL League One / Forward Madison vs Naples

Prediction Audit: Forward Madison vs Naples Prediction, Odds & AI Betting Tips

Forward Madison Forward Madison
Jul 25, 2026 - 23:00
3 1.28
1 1.32
xG Accuracy: 57%
Naples Naples

The model missed the final outcome (Forward Madison win 3–1).

The model had projected Naples at 36.1%, 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 Naples Forward Madison ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Forward Madison higher than the statistical model.

Largest probability gap: Forward Madison -22.7 pp

Outcome Model Closing Market Difference Signal
Forward Madison 34.2% 56.9% -22.7 pp Market Higher
Draw 29.6% 23.7% +6.0 pp Model Higher
Naples 36.1% 19.4% +16.7 pp Model Edge

The closing market estimates Forward Madison's win probability at 56.9%, compared with the model's estimate of 34.2%, a difference of 22.7 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 Forward Madison win 3–1.

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 Naples; match finished Forward Madison

Market lesson

The closing market differed from the model on Naples by 22.7 percentage points (58.8% vs model 36.1%) — 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. Jul 25, 2026 · 23:43 UTC Forecast generated
    • Model 1X2 · Forward Madison 34.2% · Draw 29.7% · Naples 36.1%
    • xG · Forward Madison 1.28 — Naples 1.32
  2. Jul 25, 2026 · 22:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Forward Madison 1.61 · Draw 3.87 · Naples 4.72
    • Implied 1X2 · Forward Madison 56.9% · Draw 23.7% · Naples 19.4%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 23:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Forward Madison 1.61 · Draw 3.87 · Naples 4.72
    • Implied 1X2 · Forward Madison 56.9% · Draw 23.7% · Naples 19.4%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 23:00 UTC Kickoff
  5. FT Full-time result Forward Madison win · 3–1
  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: 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 (23 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:03 UTC Snapshot ID: dp-1455246

Closing Odds 1.61
AI Fair Odds —
CLV Pending
Final Result Forward Madison win · Forward Madison 3–1 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

Quick read on how the model reads this matchup.

  • League: USL League One
  • Fixture: Forward Madison vs Naples
  • Kickoff: 2026-07-25 23:00:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): Forward Madison 1.28 — Naples 1.32 (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 54.5% · 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%)

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.

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 26, 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 27 17 5 5 56
3 Forward Madison 27 15 6 6 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 24 12 4 8 40
8 Fort Wayne 26 10 7 9 37
9 Corpus Christi 26 8 9 9 33
10 Alta 28 8 8 12 32
11 Sarasota Paradise 26 8 6 12 30
12 Portland Hearts of Pine 27 7 9 11 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 27 63 39 +24 56
2 Forward Madison 27 50 26 +24 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 26 41 35 +6 37
9 Portland Hearts of Pine 27 39 46 -7 30
10 Spokane Velocity 24 36 33 +3 40
11 Alta 28 34 40 -6 32
12 Sarasota Paradise 26 33 39 -6 30
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