Predictions / Football / South-Korea. FA Cup / Gyeongnam FC vs Yeoju Sejong

Prediction Audit: Gyeongnam FC vs Yeoju Sejong Prediction, Odds & AI Betting Tips

Jul 15, 2026 - 10:30
0 1.30
1 1.30
xG Accuracy: 49%

The model missed the final outcome (Yeoju Sejong win 0–1).

The model had projected Gyeongnam FC at 43.0%, 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 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Gyeongnam FC Yeoju Sejong ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Gyeongnam FC higher than the statistical model.

Largest probability gap: Gyeongnam FC -16.6 pp

Outcome Model Closing Market Difference Signal
Gyeongnam FC 43.0% 59.6% -16.6 pp Market Higher
Draw 28.9% 23.2% +5.7 pp Model Higher
Yeoju Sejong 28.1% 17.1% +10.9 pp Model Edge

The closing market estimates Gyeongnam FC's win probability at 59.6%, compared with the model's estimate of 43.0%, a difference of 16.6 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 Yeoju Sejong win 0–1.

Market Assessment

The market is materially more optimistic about Gyeongnam 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

  • Under 2.5 goals aligned with the xG profile
  • 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
  • 1X2: model leaned Gyeongnam FC; match finished Yeoju Sejong

Market lesson

The closing market differed from the model on Gyeongnam FC by 16.6 percentage points (59.6% vs model 43.0%) — 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. Jul 15, 2026 · 19:16 UTC Forecast generated
    • Model 1X2 · Gyeongnam FC 43.1% · Draw 28.9% · Yeoju Sejong 28.1%
    • xG · Gyeongnam FC 1.30 — Yeoju Sejong 1.30
  2. Jul 15, 2026 · 10:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Gyeongnam FC 1.42 · Draw 3.65 · Yeoju Sejong 4.94
    • Implied 1X2 · Gyeongnam FC 59.6% · Draw 23.2% · Yeoju Sejong 17.1%
    • Bookmaker · SBO
  3. Jul 15, 2026 · 10:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Gyeongnam FC 1.42 · Draw 3.65 · Yeoju Sejong 4.94
    • Implied 1X2 · Gyeongnam FC 59.6% · Draw 23.2% · Yeoju Sejong 17.1%
    • Bookmaker · SBO
  4. Jul 15, 2026 · 10:30 UTC Kickoff
  5. FT Full-time result Yeoju Sejong win · 0–1
  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 55/100 · Moderate
  • Validation: Warning
  • Large market gap (17 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 16/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 21:39 UTC Snapshot ID: dp-1646319

Closing Odds 1.42
AI Fair Odds —
CLV Pending
Final Result Yeoju Sejong win · Gyeongnam FC 0–1 Yeoju Sejong
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: FA Cup
  • Fixture: Gyeongnam FC vs Yeoju Sejong
  • Kickoff: 2026-07-15 10:30:00
  • 1X2 (model): Home 33.0% · Draw 33.0% · Away 33.0%
  • xG (showing): Gyeongnam FC 1.3 — Yeoju Sejong 1.3 (total xG ≈ 2.6)
  • 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

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

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

October 01, 2026 (UTC)

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