Statistics / Football / South-Korea. WK-League / Gyeongju vs Suwon FMC

Gyeongju vs Suwon FMC Statistics & Analysis

Aug 22, 2026 - 10:00
2 1.41
3 1.19
xG Accuracy: 52%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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 Yes ✔ Correct
  • 1X2 Gyeongju Suwon FMC ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 2-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 01:06 UTC Snapshot ID: dp-4213036

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Suwon FMC win · Gyeongju 2–3 Suwon FMC
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

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

  • League: WK-League
  • Fixture: Gyeongju vs Suwon FMC
  • Kickoff: 2026-08-22 10:00:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): Gyeongju 1.41 — Suwon FMC 1.19 (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): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.2% · No 45.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.2% · No 45.8%
  • 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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

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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Back to Statistics
WK-League WK-League — Standings
# TEAM MP W D L PTS
1 Suwon FMC 24 18 2 4 56
2 Hwacheon KSPO 24 13 8 3 47
3 Gyeongju 24 9 7 8 34
4 Boeun Sangmu 24 10 3 11 33
5 Gumi Sportstoto 24 9 4 11 31
6 Seoul 24 9 3 12 30
7 Incheon Red Angels 24 6 5 13 23
8 Changnyeong 24 3 6 15 15
# TEAM MP GS GC +/- PTS
1 Suwon FMC 24 58 19 +39 56
2 Gyeongju 24 35 29 +6 34
3 Hwacheon KSPO 24 32 11 +21 47
4 Boeun Sangmu 24 25 31 -6 33
5 Gumi Sportstoto 24 24 31 -7 31
6 Seoul 24 22 33 -11 30
7 Changnyeong 24 21 49 -28 15
8 Incheon Red Angels 24 20 34 -14 23