Predictions / Football / South-Korea. K League 2 / Seongnam FC vs Seoul E-Land FC

Prediction Audit: Seongnam FC vs Seoul E-Land FC Prediction, Odds & AI Betting Tips

Aug 29, 2026 - 10:30
1 1.30
1 1.30
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Seongnam FC at 35.2%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 Yes ✔ Correct
  • 1X2 Seongnam FC Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Seoul E-Land FC higher than the statistical model.

Largest probability gap: Seoul E-Land FC -6.7 pp

Outcome Model Closing Market Difference Signal
Seongnam FC 35.2% 29.9% +5.3 pp Model Higher
Draw 29.6% 28.3% +1.4 pp Aligned
Seoul E-Land FC 35.2% 41.8% -6.7 pp Market Higher

The closing market estimates Seoul E-Land FC's win probability at 41.8%, compared with the model's estimate of 35.2%, a difference of 6.7 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 Draw 1–1.

Market Assessment

The market and model broadly agree on Seoul E-Land FC. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Seongnam FC; match finished Draw

Market lesson

The closing market differed from the model on Seongnam FC by 6.7 percentage points (41.9% vs model 35.2%) — 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. Aug 29, 2026 · 10:29 UTC Forecast generated
    • Model 1X2 · Seongnam FC 35.2% · Draw 29.6% · Seoul E-Land FC 35.2%
    • xG · Seongnam FC 1.30 — Seoul E-Land FC 1.30
  2. Aug 29, 2026 · 10:02 UTC Opening odds snapshot PRE30
    • 1X2 odds · Seongnam FC 3.19 · Draw 3.37 · Seoul E-Land FC 2.28
    • Implied 1X2 · Seongnam FC 29.9% · Draw 28.3% · Seoul E-Land FC 41.8%
    • Bookmaker · Pinnacle
  3. Aug 29, 2026 · 10:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Seongnam FC 3.19 · Draw 3.37 · Seoul E-Land FC 2.28
    • Implied 1X2 · Seongnam FC 29.9% · Draw 28.3% · Seoul E-Land FC 41.8%
    • Bookmaker · Pinnacle
  4. Aug 29, 2026 · 10:30 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 23/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 01:27 UTC Snapshot ID: dp-5124145

Closing Odds 2.28
AI Fair Odds —
CLV Pending
Final Result Draw · Seongnam FC 1–1 Seoul E-Land FC
Prediction ✖ Missed
Decision Grade C

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: K League 2
  • Fixture: Seongnam FC vs Seoul E-Land FC
  • Kickoff: 2026-08-29 10:30:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Seongnam FC 1.3 — Seoul E-Land FC 1.3 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.0%, still below the +2.0% minimum for a headline / default stake (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 (12.6%)

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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K League 2 K League 2 — Standings
# TEAM MP W D L PTS
1 Suwon Bluewings 25 16 5 4 53
2 Suwon City FC 25 13 9 3 48
3 Seoul E-Land FC 26 14 6 6 48
4 Daegu FC 26 13 7 6 46
5 Hwaseong 26 12 8 6 44
6 Busan I Park 26 12 5 9 41
7 Gimpo Citizen 25 8 11 6 35
8 Asan Mugunghwa 25 9 7 9 34
9 Gyeongnam FC 25 8 10 7 34
10 Seongnam FC 25 7 10 8 31
11 Cheongju 26 5 14 7 29
12 Paju Citizen 25 8 5 12 29
13 Yongin City 25 5 12 8 27
14 Cheonan City 26 4 11 11 23
15 Ansan Greeners 26 6 4 16 22
16 Jeonnam Dragons 25 4 9 12 21
17 Gimhae City 25 2 7 16 13
# TEAM MP GS GC +/- PTS
1 Suwon City FC 25 50 29 +21 48
2 Daegu FC 26 48 35 +13 46
3 Seoul E-Land FC 26 45 30 +15 48
4 Hwaseong 26 41 27 +14 44
5 Busan I Park 26 41 34 +7 41
6 Suwon Bluewings 25 39 20 +19 53
7 Asan Mugunghwa 25 34 31 +3 34
8 Gimpo Citizen 25 31 30 +1 35
9 Gyeongnam FC 25 31 30 +1 34
10 Yongin City 25 31 35 -4 27
11 Cheongju 26 31 41 -10 29
12 Cheonan City 26 30 37 -7 23
13 Seongnam FC 25 28 30 -2 31
14 Jeonnam Dragons 25 28 43 -15 21
15 Ansan Greeners 26 27 49 -22 22
16 Paju Citizen 25 24 28 -4 29
17 Gimhae City 25 19 49 -30 13