AI correctly predicted the Inter Miami win.
The match finished 3–2, validating the model's directional assessment.
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 Over 2.5 Over 2.5 (5 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Inter Miami Inter Miami ✔ Correct
- Correct Score Insights 2-1, 3-1, 2-2, 3-2, 1-1 3-2 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Inter Miami | 59.3% | 39.7% | +19.6 pp | Model Edge |
| Draw | 18.4% | 23.9% | -5.5 pp | Market Higher |
| Chicago Fire | 22.3% | 36.4% | -14.1 pp | Market Higher |
The statistical model estimates Inter Miami's win probability at 59.3%, compared with the closing market's implied probability of 39.7%, a difference of 19.6 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 (Inter Miami win 3–2).
Market Assessment
The statistical fair estimate is materially higher than the market on Inter Miami.
- The model may see a slower-scoring or closer matchup than the market.
- Monitor line movement before kickoff — not a betting recommendation.
Post Match Insights
What worked
- Expected goals projected a high-scoring match (ΣxG 4.64) — 5 goals materialised
- Inter Miami attacking xG significantly stronger (2.85 vs 1.79)
- Both Teams To Score (Yes) matched the full-time result
Market lesson
Large model–market gaps do not automatically mean the market is right. Here the closing market priced Inter Miami more conservatively (39.7% vs model 59.3%, 19.6 pp), but the model's lean was validated (Inter Miami win 3–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Jul 22, 2026 · 23:29 UTC Forecast generated
- Model 1X2 · Inter Miami 59.2% · Draw 18.4% · Chicago Fire 22.3%
- xG · Inter Miami 2.85 — Chicago Fire 1.79
-
Jul 22, 2026 · 22:59 UTC Opening odds snapshot PRE30
- 1X2 odds · Inter Miami 2.44 · Draw 4.04 · Chicago Fire 2.66
- Implied 1X2 · Inter Miami 39.7% · Draw 23.9% · Chicago Fire 36.4%
- Bookmaker · Pinnacle
-
Jul 22, 2026 · 23:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Inter Miami 2.44 · Draw 4.04 · Chicago Fire 2.66
- Implied 1X2 · Inter Miami 39.7% · Draw 23.9% · Chicago Fire 36.4%
- Bookmaker · Pinnacle
-
Jul 22, 2026 · 23:30 UTC Kickoff
-
FT Full-time result Inter Miami win · 3–2
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (20 pp)
- High xG deviation from league baseline (111%+)
- Strong model lean
- Pricing remains divergent
- Validation warning
Validation Report
Immutable SnapshotProbability Calibration
- Expected: 59.2%
- Historical Bucket: 55–60% — Building sample
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.
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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 |