Statistics / Football / USA. USL Super League / DC Power W vs Fort Lauderdale United W

DC Power W vs Fort Lauderdale United W Statistics & Analysis

Sep 22, 2026 - 15:00
2 1.46
1 1.14
xG Accuracy: 83%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

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 DC Power W DC Power W ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 16, 2026 · 02:33 UTC Snapshot ID: dp-8989083

Closing Odds 1.62
AI Fair Odds —
CLV +0.0%
Final Result DC Power W win · DC Power W 2–1 Fort Lauderdale United W
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Fort Lauderdale United W (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Fort Lauderdale United W (1X2) by about 8.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
DC Power W (1X2) 42.9 55.7 -12.9
Draw (1X2) 29.2 24.8 +4.4
Fort Lauderdale United W (1X2) 27.9 19.5 +8.4
Over 2.5 goals 48.2 51.1 -2.9
Under 2.5 goals 51.8 48.9 +2.9
What this means

In plain terms: the model lands near 27.9% on Fort Lauderdale United W (1X2), while the closing snapshot implied about 19.5%. The difference — about 8.4 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
DC Power W (1X2) 1.62 1.62 0.0
Draw (1X2) 3.64 3.64 0.0
Fort Lauderdale United W (1X2) 4.64 4.64 0.0
Over 2.5 goals 1.84 1.84 0.0
Under 2.5 goals 1.92 1.92 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: USL Super League
  • Fixture: DC Power W vs Fort Lauderdale United W
  • Kickoff: 2026-09-22 15:00:00
  • 1X2 (model): Home 42.9% · Draw 29.2% · Away 27.9%
  • xG (showing): DC Power W 1.46 — Fort Lauderdale United W 1.14 (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: 48.3% · Probability edge: +3.5 pts · Est. EV: +3.6%
  • BTTS (model): Yes 53.8% · No 46.2%
  • Correct score (top bin): 1-1 (12.4%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

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

October 01, 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