Predictions / Football / South-Korea. K4 League / Sejong SA vs Jungnang Chorus Mustang

Prediction Audit: Sejong SA vs Jungnang Chorus Mustang Prediction, Odds & AI Betting Tips

Aug 30, 2026 - 10:00
0 1.32
5 1.28
xG Accuracy: 25%

The model missed the final outcome (Jungnang Chorus Mustang win 0–5).

The model had projected Sejong SA at 36.1%, 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 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Sejong SA Jungnang Chorus Mustang ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-5 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Jungnang Chorus Mustang -2.8 pp

Outcome Model Closing Market Difference Signal
Sejong SA 36.1% 34.1% +2.0 pp Aligned
Draw 29.6% 28.8% +0.9 pp Aligned
Jungnang Chorus Mustang 34.2% 37.1% -2.8 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Jungnang Chorus Mustang win 0–5.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)

Market lesson

The full-time result was Jungnang Chorus Mustang win 0–5, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 30, 2026 · 09:59 UTC Forecast generated
    • Model 1X2 · Sejong SA 36.1% · Draw 29.7% · Jungnang Chorus Mustang 34.2%
    • xG · Sejong SA 1.32 — Jungnang Chorus Mustang 1.28
  2. Aug 30, 2026 · 09:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sejong SA 2.53 · Draw 3.00 · Jungnang Chorus Mustang 2.33
    • Implied 1X2 · Sejong SA 34.1% · Draw 28.8% · Jungnang Chorus Mustang 37.1%
    • Bookmaker · Pinnacle
  3. Aug 30, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sejong SA 2.53 · Draw 3.00 · Jungnang Chorus Mustang 2.33
    • Implied 1X2 · Sejong SA 34.1% · Draw 28.8% · Jungnang Chorus Mustang 37.1%
    • Bookmaker · Pinnacle
  4. Aug 30, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Jungnang Chorus Mustang win · 0–5
  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 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 29/100
Monitoring Confidence 35/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 01:06 UTC Snapshot ID: dp-5287308

Closing Odds 2.33
AI Fair Odds —
CLV Pending
Final Result Jungnang Chorus Mustang win · Sejong SA 0–5 Jungnang Chorus Mustang
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: K4 League
  • Fixture: Sejong SA vs Jungnang Chorus Mustang
  • Kickoff: 2026-08-30 10:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Sejong SA 1.32 — Jungnang Chorus Mustang 1.28 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

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 30, 2026 (UTC)

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K4 League K4 League — Standings
# TEAM MP W D L PTS
1 Jinju Citizen 20 16 2 2 50
2 Jincheon 20 11 5 4 38
3 Namyangju 21 10 6 5 36
4 Jungnang Chorus Mustang 20 10 4 6 34
5 Geumsan Insam 21 8 8 5 32
6 Jecheon Citizen 21 7 7 7 28
7 Geoje Citizen 18 8 3 7 27
8 Pyeongchang United 20 8 2 10 26
9 Gijang United 20 8 2 10 26
10 Sejong SA 20 8 2 10 26
11 Haman 19 6 2 11 20
12 Seosan Pioneer 20 4 0 16 12
13 Pyeongtaek Citizen 20 2 5 13 11
# TEAM MP GS GC +/- PTS
1 Jinju Citizen 20 50 16 +34 50
2 Jincheon 20 38 20 +18 38
3 Jungnang Chorus Mustang 20 38 23 +15 34
4 Geumsan Insam 21 33 25 +8 32
5 Geoje Citizen 18 33 26 +7 27
6 Namyangju 21 30 26 +4 36
7 Sejong SA 20 29 40 -11 26
8 Gijang United 20 28 36 -8 26
9 Pyeongchang United 20 27 31 -4 26
10 Jecheon Citizen 21 26 31 -5 28
11 Haman 19 22 32 -10 20
12 Seosan Pioneer 20 22 46 -24 12
13 Pyeongtaek Citizen 20 20 44 -24 11