Predictions / Football / South-Korea. FA Cup / Ansan Greeners vs Jinju Citizen

Prediction Audit: Ansan Greeners vs Jinju Citizen Prediction, Odds & AI Betting Tips

Jul 15, 2026 - 10:00
0 1.24
2 1.36
xG Accuracy: 60%

The model missed the final outcome (Jinju Citizen win 0–2).

The model had projected Ansan Greeners at 39.1%, 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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Ansan Greeners Jinju Citizen ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Ansan Greeners higher than the statistical model.

Largest probability gap: Ansan Greeners -16.2 pp

Outcome Model Closing Market Difference Signal
Ansan Greeners 39.1% 55.2% -16.2 pp Market Higher
Draw 28.2% 22.4% +5.8 pp Model Higher
Jinju Citizen 32.8% 22.4% +10.4 pp Model Edge

The closing market estimates Ansan Greeners's win probability at 55.2%, compared with the model's estimate of 39.1%, a difference of 16.2 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 Jinju Citizen win 0–2.

Market Assessment

The market is materially more optimistic about Ansan Greeners 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

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Ansan Greeners; match finished Jinju Citizen

Market lesson

The closing market differed from the model on Ansan Greeners by 16.2 percentage points (55.3% vs model 39.1%) — 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 · 19:14 UTC Forecast generated
    • Model 1X2 · Ansan Greeners 39.1% · Draw 28.2% · Jinju Citizen 32.8%
    • xG · Ansan Greeners 1.24 — Jinju Citizen 1.36
  2. Jul 15, 2026 · 09:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Ansan Greeners 1.62 · Draw 4.00 · Jinju Citizen 4.00
    • Implied 1X2 · Ansan Greeners 55.2% · Draw 22.4% · Jinju Citizen 22.4%
    • Bookmaker · Bet365
  3. Jul 15, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Ansan Greeners 1.62 · Draw 4.00 · Jinju Citizen 4.00
    • Implied 1X2 · Ansan Greeners 55.2% · Draw 22.4% · Jinju Citizen 22.4%
    • Bookmaker · Bet365
  4. Jul 15, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Jinju Citizen win · 0–2
  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 (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 19/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 18:01 UTC Snapshot ID: dp-1623022

Closing Odds 1.62
AI Fair Odds —
CLV Pending
Final Result Jinju Citizen win · Ansan Greeners 0–2 Jinju Citizen
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: Ansan Greeners vs Jinju Citizen
  • Kickoff: 2026-07-15 10:00:00
  • 1X2 (model): Home 33.0% · Draw 33.0% · Away 33.0%
  • xG (showing): Ansan Greeners 1.24 — Jinju Citizen 1.36 (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

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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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