Predictions / Football / South-Korea. K3 League / Daejeon Korail vs Yangpyeong

Prediction Audit: Daejeon Korail vs Yangpyeong Prediction, Odds & AI Betting Tips

Aug 29, 2026 - 10:00
2 1.38
1 1.22
xG Accuracy: 79%

AI correctly predicted the Daejeon Korail win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Daejeon Korail Daejeon Korail ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Daejeon Korail higher than the statistical model.

Largest probability gap: Daejeon Korail -14.8 pp

Outcome Model Closing Market Difference Signal
Daejeon Korail 39.0% 53.8% -14.8 pp Market Higher
Draw 29.5% 25.8% +3.7 pp Aligned
Yangpyeong 31.5% 20.4% +11.1 pp Model Edge

The closing market estimates Daejeon Korail's win probability at 53.8%, compared with the model's estimate of 39.0%, a difference of 14.8 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 model's directional lean matched the result (Daejeon Korail win 2–1).

Market Assessment

The market is materially more optimistic about Daejeon Korail 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Daejeon Korail higher (53.8% vs model 39.0%, 14.8 pp), but the model's lean was validated (Daejeon Korail win 2–1).

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Prediction Timeline

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

  1. Aug 29, 2026 · 09:59 UTC Forecast generated
    • Model 1X2 · Daejeon Korail 39.0% · Draw 29.5% · Yangpyeong 31.5%
    • xG · Daejeon Korail 1.38 — Yangpyeong 1.22
  2. Aug 29, 2026 · 09:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Daejeon Korail 1.70 · Draw 3.54 · Yangpyeong 4.48
    • Implied 1X2 · Daejeon Korail 53.8% · Draw 25.8% · Yangpyeong 20.4%
    • Bookmaker · Pinnacle
  3. Aug 29, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Daejeon Korail 1.70 · Draw 3.54 · Yangpyeong 4.48
    • Implied 1X2 · Daejeon Korail 53.8% · Draw 25.8% · Yangpyeong 20.4%
    • Bookmaker · Pinnacle
  4. Aug 29, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Daejeon Korail win · 2–1
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 26/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 01:18 UTC Snapshot ID: dp-5122604

Closing Odds 1.7
AI Fair Odds —
CLV Pending
Final Result Daejeon Korail win · Daejeon Korail 2–1 Yangpyeong
Prediction ✔ Correct
Decision Grade B-

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: K3 League
  • Fixture: Daejeon Korail vs Yangpyeong
  • Kickoff: 2026-08-29 10:00:00
  • 1X2 (model): Home 39.0% · Draw 29.5% · Away 31.5%
  • xG (showing): Daejeon Korail 1.38 — Yangpyeong 1.22 (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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • 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.

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

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against 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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K3 League K3 League — Standings
# TEAM MP W D L PTS
1 Siheung Citizen 22 16 4 2 52
2 Pocheon 22 13 6 3 45
3 Daejeon Korail 22 11 5 6 38
4 Busan Transportation 22 10 7 5 37
5 Gyeongju HNP 22 8 8 6 32
6 Dangjin Citizen 22 9 4 9 31
7 Chuncheon 22 8 5 9 29
8 Ulsan Citizen 22 8 4 10 28
9 Gangneung City 22 7 6 9 27
10 Changwon City 22 6 8 8 26
11 Yeoju Sejong 22 6 7 9 25
12 Mokpo City 22 4 9 9 21
13 Yangpyeong 22 3 8 11 17
14 Jeonbuk Motors II 22 1 7 14 10
# TEAM MP GS GC +/- PTS
1 Dangjin Citizen 22 44 36 +8 31
2 Busan Transportation 22 39 26 +13 37
3 Chuncheon 22 39 35 +4 29
4 Pocheon 22 38 19 +19 45
5 Siheung Citizen 22 35 19 +16 52
6 Gyeongju HNP 22 32 29 +3 32
7 Daejeon Korail 22 31 17 +14 38
8 Yangpyeong 22 27 43 -16 17
9 Changwon City 22 24 27 -3 26
10 Yeoju Sejong 22 24 28 -4 25
11 Ulsan Citizen 22 23 24 -1 28
12 Jeonbuk Motors II 22 22 49 -27 10
13 Gangneung City 22 20 30 -10 27
14 Mokpo City 22 19 35 -16 21