Predictions / Football / South-Korea. FA Cup / Daegu FC vs Siheung Citizen

Prediction Audit: Daegu FC vs Siheung Citizen Prediction, Odds & AI Betting Tips

Jul 15, 2026 - 10:00
0 1.28
1 1.32
xG Accuracy: 64%

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

The model had projected Daegu FC at 40.0%, 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 Daegu FC Siheung Citizen ✖ 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 Daegu FC higher than the statistical model.

Largest probability gap: Daegu FC -15.3 pp

Outcome Model Closing Market Difference Signal
Daegu FC 40.0% 55.3% -15.3 pp Market Higher
Draw 29.0% 24.3% +4.7 pp Aligned
Siheung Citizen 31.0% 20.4% +10.6 pp Model Edge

The closing market estimates Daegu FC's win probability at 55.3%, compared with the model's estimate of 40.0%, a difference of 15.3 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 Siheung Citizen win 0–1.

Market Assessment

The market is materially more optimistic about Daegu 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 Daegu FC; match finished Siheung Citizen

Market lesson

The closing market differed from the model on Daegu FC by 15.3 percentage points (55.3% vs model 40.0%) — 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 · 19:14 UTC Forecast generated
    • Model 1X2 · Daegu FC 40.0% · Draw 29.0% · Siheung Citizen 31.0%
    • xG · Daegu FC 1.28 — Siheung Citizen 1.32
  2. Jul 15, 2026 · 09:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Daegu FC 1.54 · Draw 3.50 · Siheung Citizen 4.18
    • Implied 1X2 · Daegu FC 55.3% · Draw 24.3% · Siheung Citizen 20.4%
    • Bookmaker · SBO
  3. Jul 15, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Daegu FC 1.54 · Draw 3.50 · Siheung Citizen 4.18
    • Implied 1X2 · Daegu FC 55.3% · Draw 24.3% · Siheung Citizen 20.4%
    • Bookmaker · SBO
  4. Jul 15, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Siheung Citizen 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 (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 23/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 02:41 UTC Snapshot ID: dp-1536892

Closing Odds 1.54
AI Fair Odds —
CLV Pending
Final Result Siheung Citizen win · Daegu FC 0–1 Siheung 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

Pre-match snapshot for this fixture.

  • League: FA Cup
  • Fixture: Daegu FC vs Siheung Citizen
  • Kickoff: 2026-07-15 10:00:00
  • 1X2 (model): Home 33.0% · Draw 33.0% · Away 33.0%
  • xG (showing): Daegu FC 1.28 — Siheung Citizen 1.32 (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.

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

September 29, 2026 (UTC)

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