Predictions / Football / USA. USL Super League / Dallas Trinity W vs DC Power W

Prediction Audit: Dallas Trinity W vs DC Power W Prediction, Odds & AI Betting Tips

Sep 13, 2026 - 23:30
2 1.33
1 1.27
xG Accuracy: 77%

AI correctly predicted the Dallas Trinity W win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Dallas Trinity W +1.1 pp

Outcome Model Closing Market Difference Signal
Dallas Trinity W 36.6% 35.5% +1.1 pp Aligned
Draw 29.6% 29.8% -0.1 pp Aligned
DC Power W 33.8% 34.7% -0.9 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 model's directional lean matched the result (Dallas Trinity W win 2–1).

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

  • 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 2–1 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

The model's directional lean matched the full-time result (Dallas Trinity W win 2–1).

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Prediction Timeline

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

  1. Sep 13, 2026 · 23:29 UTC Forecast generated
    • Model 1X2 · Dallas Trinity W 36.6% · Draw 29.6% · DC Power W 33.8%
    • xG · Dallas Trinity W 1.33 — DC Power W 1.27
  2. Sep 13, 2026 · 23:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Dallas Trinity W 2.55 · Draw 3.04 · DC Power W 2.61
    • Implied 1X2 · Dallas Trinity W 35.5% · Draw 29.8% · DC Power W 34.7%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 23:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Dallas Trinity W 2.55 · Draw 3.04 · DC Power W 2.61
    • Implied 1X2 · Dallas Trinity W 35.5% · Draw 29.8% · DC Power W 34.7%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 23:30 UTC Kickoff
  5. FT Full-time result Dallas Trinity W win · 2–1
  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 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 94/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:29 UTC Snapshot ID: dp-7462392

Closing Odds 2.55
AI Fair Odds —
CLV Pending
Final Result Dallas Trinity W win · Dallas Trinity W 2–1 DC Power W
Prediction ✔ Correct
Decision Grade B-

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 Super League
  • Fixture: Dallas Trinity W vs DC Power W
  • Kickoff: 2026-09-13 23:30:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Dallas Trinity W 1.33 — DC Power W 1.27 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.0%, still below the +2.0% minimum for a headline / default stake (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%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

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 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