Predictions / Football / USA. Major League Soccer / San Diego vs FC Dallas

Prediction Audit: San Diego vs FC Dallas Prediction, Odds & AI Betting Tips

San Diego San Diego
Jul 26, 2026 - 01:30
1 2.53
0 1.03
xG Accuracy: 50%
FC Dallas FC Dallas

AI correctly predicted the San Diego win.

The match finished 1–0, validating the model's directional assessment.

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 San Diego San Diego ✔ Correct
  • Correct Score Insights 2-1, 2-0, 3-1, 3-0, 1-1 1-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The model rates San Diego considerably stronger than the closing betting market.

Largest probability gap: San Diego +20.5 pp

Outcome Model Closing Market Difference Signal
San Diego 61.4% 40.9% +20.5 pp Model Edge
Draw 21.1% 24.6% -3.5 pp Aligned
FC Dallas 17.5% 34.6% -17.1 pp Market Higher

The statistical model estimates San Diego's win probability at 61.4%, compared with the closing market's implied probability of 40.9%, a difference of 20.5 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 (San Diego win 1–0).

Post Match Insights

What worked

  • San Diego attacking xG significantly stronger (2.53 vs 1.03)

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

Large model–market gaps do not automatically mean the market is right. Here the closing market priced San Diego more conservatively (40.9% vs model 61.4%, 20.5 pp), but the model's lean was validated (San Diego win 1–0).

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Prediction Timeline

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

  1. Jul 26, 2026 · 19:16 UTC Forecast generated
    • Model 1X2 · San Diego 61.4% · Draw 21.1% · FC Dallas 17.5%
    • xG · San Diego 2.53 — FC Dallas 1.03
  2. Jul 26, 2026 · 00:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · San Diego 2.36 · Draw 3.95 · FC Dallas 2.80
    • Implied 1X2 · San Diego 41.0% · Draw 24.5% · FC Dallas 34.5%
    • Bookmaker · Pinnacle
  3. Jul 26, 2026 · 01:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · San Diego 2.37 · Draw 3.94 · FC Dallas 2.80
    • Implied 1X2 · San Diego 40.9% · Draw 24.6% · FC Dallas 34.6%
    • Bookmaker · Pinnacle
  4. Jul 26, 2026 · 01:30 UTC Kickoff
  5. FT Full-time result San Diego win · 1–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 41/100 · Low
  • Validation: Warning
  • Large market gap (21 pp)
  • High xG deviation from league baseline (87%+)
Evidence ★★★★★
  • Strong model lean
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 26/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:58 UTC Snapshot ID: dp-1453980

Closing Odds 2.37
AI Fair Odds —
CLV Pending
Final Result San Diego win · San Diego 1–0 FC Dallas
Prediction ✔ Correct
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: Major League Soccer
  • Fixture: San Diego vs FC Dallas
  • Kickoff: 2026-07-26 01:30:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): San Diego 2.53 — FC Dallas 1.03 (total xG ≈ 3.56)
  • 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: Wait

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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Major League Soccer Major League Soccer — Standings
# TEAM MP W D L PTS
1 Vancouver Whitecaps 25 15 4 6 49
2 Houston Dynamo 26 13 5 8 44
3 St. Louis City 26 12 8 6 44
4 FC Dallas 26 12 8 6 44
5 San Jose Earthquakes 26 12 6 8 42
6 Los Angeles FC 27 11 8 8 41
7 Colorado Rapids 26 11 3 12 36
8 Los Angeles Galaxy 27 8 9 10 33
9 Portland Timbers 26 9 5 12 32
10 Seattle Sounders 25 8 8 9 32
11 San Diego 26 8 7 11 31
12 Austin 26 7 9 10 30
13 Real Salt Lake 26 8 5 13 29
14 Minnesota United FC 26 7 8 11 29
15 Sporting Kansas City 25 5 3 17 18
# TEAM MP GS GC +/- PTS
1 Vancouver Whitecaps 25 56 23 +33 49
2 FC Dallas 26 49 42 +7 44
3 Portland Timbers 26 47 48 -1 32
4 San Jose Earthquakes 26 46 38 +8 42
5 St. Louis City 26 45 36 +9 44
6 San Diego 26 44 44 0 31
7 Los Angeles FC 27 43 29 +14 41
8 Minnesota United FC 26 39 46 -7 29
9 Real Salt Lake 26 37 44 -7 29
10 Colorado Rapids 26 36 35 +1 36
11 Houston Dynamo 26 34 30 +4 44
12 Los Angeles Galaxy 27 34 42 -8 33
13 Austin 26 32 44 -12 30
14 Seattle Sounders 25 30 33 -3 32
15 Sporting Kansas City 25 29 63 -34 18
# TEAM MP xG xGC +/- PTS
1 Vancouver Whitecaps 25 15.4 7.0 +8.4 49
2 St. Louis City 26 16.2 8.0 +8.2 44
3 Colorado Rapids 26 12.7 7.5 +5.2 36
4 Portland Timbers 26 19.0 14.2 +4.8 32
5 Minnesota United FC 26 17.8 13.3 +4.5 29
6 San Diego 26 14.7 12.0 +2.7 31
7 San Jose Earthquakes 26 13.6 13.1 +0.5 42
8 Houston Dynamo 26 11.6 11.1 +0.5 44
9 Los Angeles FC 27 14.5 15.8 -1.3 41
10 FC Dallas 26 10.4 11.7 -1.3 44
11 Austin 26 9.5 13.7 -4.2 30
12 Seattle Sounders 25 10.6 15.4 -4.8 32
13 Real Salt Lake 26 14.2 19.2 -5.0 29
14 Sporting Kansas City 25 9.8 18.2 -8.4 18
15 Los Angeles Galaxy 27 11.2 21.1 -9.9 33
Major League Soccer USA. Major League Soccer Predictions