Seoul vs Suwon FMC Statistics & Analysis

Jul 01, 2026 - 10:00
0 1.46
3 1.14
xG Accuracy: 40%
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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Seoul Suwon FMC ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 0-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 02, 2026 · 10:36 UTC Snapshot ID: dp-2859775

Closing Odds 1.67
AI Fair Odds —
CLV +0.0%
Final Result Suwon FMC win · Seoul 0–3 Suwon FMC
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Seoul (1X2), Draw (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Seoul (1X2) by about 13.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Seoul (1X2) 36.5 23.1 +13.4
Draw (1X2) 28.2 23.1 +5.1
Suwon FMC (1X2) 35.3 53.9 -18.5
Over 2.5 goals 48.2 60.9 -12.7
Under 2.5 goals 51.8 39.1 +12.7
What this means

In plain terms: the model lands near 36.5% on Seoul (1X2), while the closing snapshot implied about 23.1%. The difference — about 13.4 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Bet365

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Seoul (1X2) 3.9 3.9 0.0
Draw (1X2) 3.9 3.9 0.0
Suwon FMC (1X2) 1.67 1.67 0.0
Over 2.5 goals 1.53 1.53 0.0
Under 2.5 goals 2.38 2.38 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: WK-League
  • Fixture: Seoul vs Suwon FMC
  • Kickoff: 2026-07-01 10:00:00
  • 1X2 (model): Home 36.5% · Draw 28.2% · Away 35.3%
  • xG (showing): Seoul 1.46 — Suwon FMC 1.14 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 40.6% · Probability edge: +11.2 pts · Est. EV: +24.3%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

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