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

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

Aug 02, 2026 - 00:30
1 1.09
1 1.31
xG Accuracy: 90%

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

The model had projected San Diego at 36.3%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 San Diego Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Minnesota United FC higher than the statistical model.

Largest probability gap: Minnesota United FC -12.8 pp

Outcome Model Closing Market Difference Signal
Minnesota United FC 34.3% 47.1% -12.8 pp Market Higher
Draw 29.4% 25.2% +4.1 pp Aligned
San Diego 36.3% 27.7% +8.7 pp Model Higher

The closing market estimates Minnesota United FC's win probability at 47.1%, compared with the model's estimate of 34.3%, a difference of 12.8 percentage points. This highlights a disagreement between the model and market consensus, without 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 result was Draw 1–1.

Market Assessment

The market is materially more optimistic about Minnesota United FC than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned San Diego; match finished Draw

Market lesson

The closing market differed from the model on San Diego by 12.8 percentage points (49.1% vs model 36.3%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Aug 02, 2026 · 19:06 UTC Forecast generated
    • Model 1X2 · Minnesota United FC 34.3% · Draw 29.3% · San Diego 36.4%
    • xG · Minnesota United FC 1.09 — San Diego 1.31
  2. Aug 02, 2026 · 00:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Minnesota United FC 2.05 · Draw 3.83 · San Diego 3.49
    • Implied 1X2 · Minnesota United FC 47.1% · Draw 25.2% · San Diego 27.7%
    • Bookmaker · Pinnacle
  3. Aug 02, 2026 · 00:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Minnesota United FC 2.05 · Draw 3.83 · San Diego 3.49
    • Implied 1X2 · Minnesota United FC 47.1% · Draw 25.2% · San Diego 27.7%
    • Bookmaker · Pinnacle
  4. Aug 02, 2026 · 00:30 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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (13 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 12/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 00:42 UTC Snapshot ID: dp-1939647

Closing Odds 2.05
AI Fair Odds —
CLV Pending
Final Result Draw · Minnesota United FC 1–1 San Diego
Prediction ✖ Missed
Decision Grade C

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: Major League Soccer
  • Fixture: Minnesota United FC vs San Diego
  • Kickoff: 2026-08-02 00:30:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Minnesota United FC 1.09 — San Diego 1.31 (total xG ≈ 2.4)
  • 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.

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

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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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