Predictions / Football / South-Korea. FA Cup / Gimpo Citizen vs Incheon United

Prediction Audit: Gimpo Citizen vs Incheon United Prediction, Odds & AI Betting Tips

Jul 29, 2026 - 10:00
1 1.35
0 1.25
xG Accuracy: 64%

The model missed the final outcome (Gimpo Citizen win 1–0).

The model had projected Incheon United at 41.0%, 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 Incheon United Gimpo Citizen ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Incheon United higher than the statistical model.

Largest probability gap: Incheon United -20.9 pp

Outcome Model Closing Market Difference Signal
Gimpo Citizen 30.3% 14.8% +15.4 pp Model Edge
Draw 28.7% 23.2% +5.5 pp Model Higher
Incheon United 41.0% 62.0% -20.9 pp Market Higher

The closing market estimates Incheon United's win probability at 62.0%, compared with the model's estimate of 41.0%, a difference of 20.9 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 Gimpo Citizen win 1–0.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Incheon United; match finished Gimpo Citizen

Market lesson

The closing market differed from the model on Incheon United by 20.9 percentage points (61.9% vs model 41.0%) — 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 29, 2026 · 19:13 UTC Forecast generated
    • Model 1X2 · Gimpo Citizen 30.3% · Draw 28.7% · Incheon United 41.0%
    • xG · Gimpo Citizen 1.35 — Incheon United 1.25
  2. Jul 29, 2026 · 09:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Gimpo Citizen 6.31 · Draw 4.03 · Incheon United 1.51
    • Implied 1X2 · Gimpo Citizen 14.8% · Draw 23.2% · Incheon United 62.0%
    • Bookmaker · Pinnacle
  3. Jul 29, 2026 · 10:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Gimpo Citizen 6.31 · Draw 4.03 · Incheon United 1.51
    • Implied 1X2 · Gimpo Citizen 14.8% · Draw 23.2% · Incheon United 62.0%
    • Bookmaker · Pinnacle
  4. Jul 29, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Gimpo Citizen win · 1–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (21 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:03 UTC Snapshot ID: dp-1455262

Closing Odds 1.51
AI Fair Odds —
CLV Pending
Final Result Gimpo Citizen win · Gimpo Citizen 1–0 Incheon United
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

Pre-match snapshot for this fixture.

  • League: FA Cup
  • Fixture: Gimpo Citizen vs Incheon United
  • Kickoff: 2026-07-29 10:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Gimpo Citizen 1.35 — Incheon United 1.25 (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

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

Historical Recommendation

Historical Decision: Wait

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 29, 2026 (UTC)

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