Predictions / Football / USA. NWSL Women / Houston Dash W vs Kansas City W

Prediction Audit: Houston Dash W vs Kansas City W Prediction, Odds & AI Betting Tips

Houston Dash W Houston Dash W
Aug 09, 2026 - 00:45
1 1.87
1 2.44
xG Accuracy: 53%
Kansas City W Kansas City W

The model missed the final outcome (Draw 1–1).

The model had projected Kansas City W at 50.7%, 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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Kansas City W Draw ✖ Incorrect
  • Correct Score Insights 1-2, 2-2, 1-1, 1-3, 2-1 1-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Kansas City W +1.7 pp

Outcome Model Closing Market Difference Signal
Houston Dash W 27.9% 28.2% -0.3 pp Aligned
Draw 21.4% 22.8% -1.4 pp Aligned
Kansas City W 50.7% 49.0% +1.7 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 Draw 1–1.

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

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Kansas City W; match finished Draw

Market lesson

The full-time result was Draw 1–1, 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. Aug 09, 2026 · 19:06 UTC Forecast generated
    • Model 1X2 · Houston Dash W 27.9% · Draw 21.4% · Kansas City W 50.7%
    • xG · Houston Dash W 1.87 — Kansas City W 2.44
  2. Aug 09, 2026 · 00:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Houston Dash W 4.31 · Draw 3.92 · Kansas City W 1.65
    • Implied 1X2 · Houston Dash W 21.2% · Draw 23.3% · Kansas City W 55.4%
    • Bookmaker · Pinnacle
  3. Aug 09, 2026 · 00:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Houston Dash W 3.29 · Draw 4.07 · Kansas City W 1.89
    • Implied 1X2 · Houston Dash W 28.2% · Draw 22.8% · Kansas City W 49.0%
    • Bookmaker · Pinnacle
  4. Aug 09, 2026 · 00:45 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 66/100 · Moderate
  • Validation: Pass
  • High xG deviation from league baseline (81%+)
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 91/100
Betting Confidence 69/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 00:43 UTC Snapshot ID: dp-2958722

Closing Odds 1.89
AI Fair Odds —
CLV Pending
Final Result Draw · Houston Dash W 1–1 Kansas City 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 Kansas City W
  • Kickoff: 2026-08-09 00:45:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Houston Dash W 1.87 — Kansas City W 2.44 (total xG ≈ 4.31)
  • 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

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

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 29, 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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