Predictions / Football / USA. NWSL Women / Houston Dash W vs Utah Royals W

Prediction Audit: Houston Dash W vs Utah Royals W Prediction, Odds & AI Betting Tips

Houston Dash W Houston Dash W
Sep 13, 2026 - 00:45
0 2.02
1 2.00
xG Accuracy: 44%
Utah Royals W Utah Royals W

The model missed the final outcome (Utah Royals W win 0–1).

The model had projected Houston Dash W at 38.6%, 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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Houston Dash W Utah Royals W ✖ Incorrect
  • Correct Score Insights 2-1, 2-2, 1-1, 1-2, 3-1 0-1 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Houston Dash W +3.1 pp

Outcome Model Closing Market Difference Signal
Houston Dash W 38.6% 35.5% +3.1 pp Aligned
Draw 23.0% 25.3% -2.2 pp Aligned
Utah Royals W 38.4% 39.2% -0.8 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 result was Utah Royals W win 0–1.

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 failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

The full-time result was Utah Royals W win 0–1, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Sep 13, 2026 · 19:06 UTC Forecast generated
    • Model 1X2 · Houston Dash W 38.6% · Draw 23.1% · Utah Royals W 38.3%
    • xG · Houston Dash W 2.02 — Utah Royals W 2.00
  2. Sep 13, 2026 · 00:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Houston Dash W 2.46 · Draw 3.46 · Utah Royals W 2.23
    • Implied 1X2 · Houston Dash W 35.5% · Draw 25.3% · Utah Royals W 39.2%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 00:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Houston Dash W 2.46 · Draw 3.46 · Utah Royals W 2.23
    • Implied 1X2 · Houston Dash W 35.5% · Draw 25.3% · Utah Royals W 39.2%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 00:45 UTC Kickoff
  5. FT Full-time result Utah Royals W win · 0–1
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 29/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 00:49 UTC Snapshot ID: dp-7418869

Closing Odds 2.46
AI Fair Odds —
CLV Pending
Final Result Utah Royals W win · Houston Dash W 0–1 Utah Royals W
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: NWSL Women
  • Fixture: Houston Dash W vs Utah Royals W
  • Kickoff: 2026-09-13 00:45:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Houston Dash W 2.02 — Utah Royals W 2.0 (total xG ≈ 4.02)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

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 30, 2026 (UTC)

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NWSL Women NWSL Women — Standings
# TEAM MP W D L PTS
1 NJ/NY Gotham FC W 26 16 6 4 54
2 San Diego Wave W 26 15 3 8 48
3 Washington Spirit W 26 14 4 8 46
4 Angel City W 26 12 6 8 42
5 Utah Royals W 25 13 3 9 42
6 Portland Thorns W 25 12 6 7 42
7 Kansas City W 26 12 5 9 41
8 Seattle Reign FC 26 12 4 10 40
9 North Carolina Courage W 25 12 3 10 39
10 Denver Summit W 26 9 8 9 35
11 Orlando Pride W 25 9 3 13 30
12 Houston Dash W 25 8 5 12 29
13 Bay FC 25 7 5 13 26
14 Boston Legacy W 26 7 5 14 26
15 Racing Louisville W 26 7 2 17 23
16 Chicago Red Stars W 26 5 2 19 17
# TEAM MP GS GC +/- PTS
1 North Carolina Courage W 25 48 37 +11 39
2 Angel City W 26 44 28 +16 42
3 Kansas City W 26 43 37 +6 41
4 Portland Thorns W 25 42 34 +8 42
5 Denver Summit W 26 42 37 +5 35
6 Utah Royals W 25 41 33 +8 42
7 San Diego Wave W 26 38 27 +11 48
8 Washington Spirit W 26 36 24 +12 46
9 Racing Louisville W 26 35 51 -16 23
10 NJ/NY Gotham FC W 26 34 20 +14 54
11 Seattle Reign FC 26 33 31 +2 40
12 Orlando Pride W 25 32 40 -8 30
13 Boston Legacy W 26 32 44 -12 26
14 Houston Dash W 25 31 35 -4 29
15 Bay FC 25 26 34 -8 26
16 Chicago Red Stars W 26 15 60 -45 17
# TEAM MP xG xGC +/- PTS
1 San Diego Wave W 26 7.6 4.5 +3.1 48
2 Denver Summit W 26 3.9 1.9 +2.0 35
3 Bay FC 25 3.1 1.4 +1.7 26
4 Orlando Pride W 25 4.6 3.5 +1.1 30
5 North Carolina Courage W 25 2.3 1.2 +1.1 39
6 Boston Legacy W 26 3.9 2.9 +1.0 26
7 Seattle Reign FC 26 3.2 2.3 +0.9 40
8 Utah Royals W 25 1.5 1.9 -0.4 42
9 Kansas City W 26 3.7 4.2 -0.5 41
10 Washington Spirit W 26 1.2 2.3 -1.1 46
11 Angel City W 26 1.7 3.0 -1.3 42
12 Portland Thorns W 25 3.0 4.5 -1.5 42
13 Racing Louisville W 26 1.4 3.1 -1.7 23
14 Houston Dash W 25 1.9 3.9 -2.0 29
15 Chicago Red Stars W 26 1.2 3.5 -2.3 17
16 NJ/NY Gotham FC W 26 — — — 54
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