Predictions / Football / USA. Major League Soccer / Charlotte vs Chicago Fire

Prediction Audit: Charlotte vs Chicago Fire Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 23:30
0 1.33
1 1.52
xG Accuracy: 60%

AI correctly predicted the Chicago Fire win.

The match finished 0–1, 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 Chicago Fire Chicago Fire ✔ Correct
  • Correct Score Insights 1-1, 1-2, 0-1, 2-1, 1-0 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Charlotte higher than the statistical model.

Largest probability gap: Charlotte -12.0 pp

Outcome Model Closing Market Difference Signal
Charlotte 31.8% 43.8% -12.0 pp Market Higher
Draw 27.9% 23.9% +4.1 pp Aligned
Chicago Fire 40.3% 32.4% +8.0 pp Model Higher

The closing market estimates Charlotte's win probability at 43.8%, compared with the model's estimate of 31.8%, a difference of 12.0 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 model's directional lean matched the result (Chicago Fire win 0–1).

Market Assessment

The market is materially more optimistic about Charlotte 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

  • Exact score 0–1 fell within the model's highlighted bins

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 Chicago Fire higher (52.3% vs model 40.3%, 12.0 pp), but the model's lean was validated (Chicago Fire win 0–1).

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Prediction Timeline

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

  1. Sep 26, 2026 · 23:29 UTC Forecast generated
    • Model 1X2 · Charlotte 31.8% · Draw 27.9% · Chicago Fire 40.3%
    • xG · Charlotte 1.33 — Chicago Fire 1.52
  2. Sep 26, 2026 · 23:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · Charlotte 2.21 · Draw 4.05 · Chicago Fire 2.99
    • Implied 1X2 · Charlotte 43.8% · Draw 23.9% · Chicago Fire 32.4%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 23:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Charlotte 2.21 · Draw 4.05 · Chicago Fire 2.99
    • Implied 1X2 · Charlotte 43.8% · Draw 23.9% · Chicago Fire 32.4%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 23:30 UTC Kickoff
  5. FT Full-time result Chicago Fire win · 0–1
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 13/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 03:13 UTC Snapshot ID: dp-10121640

Closing Odds 2.21
AI Fair Odds —
CLV Pending
Final Result Chicago Fire win · Charlotte 0–1 Chicago Fire
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Major League Soccer
  • Fixture: Charlotte vs Chicago Fire
  • Kickoff: 2026-09-26 23:30:00
  • 1X2 (model): Home 31.8% · Draw 27.9% · Away 40.3%
  • xG (showing): Charlotte 1.33 — Chicago Fire 1.52 (total xG ≈ 2.85)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 45.8% · Implied: 33.5% · Probability edge: +12.3 pts · Est. EV: +33.7%
  • BTTS (model): Yes 59.0% · No 41.0%
  • Correct score (top bin): 1-1 (11.7%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: Monitor

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 28, 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