AI correctly predicted the Dallas Trinity W win.
The match finished 1–2, validating the model's directional assessment.
Tracked markets vs full-time result
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 (3 goals) ✖ Incorrect
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Dallas Trinity W Dallas Trinity W ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Fort Lauderdale United W | 29.2% | 19.0% | +10.2 pp | Model Edge |
| Draw | 29.4% | 24.6% | +4.8 pp | Aligned |
| Dallas Trinity W | 41.4% | 56.4% | -15.0 pp | Market Higher |
The closing market estimates Dallas Trinity W's win probability at 56.4%, compared with the model's estimate of 41.4%, a difference of 15.0 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 (Dallas Trinity W win 1–2).
Market Assessment
The market is materially more optimistic about Dallas Trinity W than the current fair estimate.
- Investors may be incorporating information not fully reflected in the baseline model.
- Tournament-specific context can shift market pricing.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
- Both Teams To Score (Yes) matched the full-time result
- Exact score 1–2 fell within the model's highlighted bins
What failed
- Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Dallas Trinity W higher (56.4% vs model 41.4%, 15.0 pp), but the model's lean was validated (Dallas Trinity W win 1–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 18, 2026 · 23:29 UTC Forecast generated
- Model 1X2 · Fort Lauderdale United W 29.3% · Draw 29.4% · Dallas Trinity W 41.4%
- xG · Fort Lauderdale United W 1.17 — Dallas Trinity W 1.43
-
Sep 18, 2026 · 22:59 UTC Opening odds snapshot PRE30
- 1X2 odds · Fort Lauderdale United W 4.80 · Draw 3.72 · Dallas Trinity W 1.62
- Implied 1X2 · Fort Lauderdale United W 19.0% · Draw 24.6% · Dallas Trinity W 56.4%
- Bookmaker · Pinnacle
-
Sep 18, 2026 · 23:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Fort Lauderdale United W 4.80 · Draw 3.72 · Dallas Trinity W 1.62
- Implied 1X2 · Fort Lauderdale United W 19.0% · Draw 24.6% · Dallas Trinity W 56.4%
- Bookmaker · Pinnacle
-
Sep 18, 2026 · 23:30 UTC Kickoff
-
FT Full-time result Dallas Trinity W win · 1–2
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (15 pp)
- No strong statistical edge
- Pricing remains divergent
- Validation warning
Validation Report
Immutable SnapshotModel 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.
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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 |
