Predictions / Football / South-Korea. WK-League / Hwacheon KSPO vs Boeun Sangmu

Prediction Audit: Hwacheon KSPO vs Boeun Sangmu Prediction, Odds & AI Betting Tips

Hwacheon KSPO Hwacheon KSPO
Jul 24, 2026 - 10:00
2 1.44
0 1.16
xG Accuracy: 62%
Boeun Sangmu Boeun Sangmu

AI correctly predicted the Hwacheon KSPO win.

The match finished 2–0, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Hwacheon KSPO Hwacheon KSPO ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Hwacheon KSPO higher than the statistical model.

Largest probability gap: Hwacheon KSPO -15.2 pp

Outcome Model Closing Market Difference Signal
Hwacheon KSPO 48.8% 63.9% -15.2 pp Market Higher
Draw 27.6% 22.0% +5.7 pp Model Higher
Boeun Sangmu 23.6% 14.1% +9.5 pp Model Higher

The closing market estimates Hwacheon KSPO's win probability at 63.9%, compared with the model's estimate of 48.8%, a difference of 15.2 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 (Hwacheon KSPO win 2–0).

Market Assessment

The market is materially more optimistic about Hwacheon KSPO 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

  • Under 2.5 goals aligned with the xG profile
  • Exact score 2–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Hwacheon KSPO higher (63.9% vs model 48.8%, 15.2 pp), but the model's lean was validated (Hwacheon KSPO win 2–0).

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Prediction Timeline

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

  1. Jul 24, 2026 · 19:21 UTC Forecast generated
    • Model 1X2 · Hwacheon KSPO 48.8% · Draw 27.6% · Boeun Sangmu 23.6%
    • xG · Hwacheon KSPO 1.44 — Boeun Sangmu 1.16
  2. Jul 24, 2026 · 09:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Hwacheon KSPO 1.43 · Draw 4.16 · Boeun Sangmu 6.49
    • Implied 1X2 · Hwacheon KSPO 63.9% · Draw 22.0% · Boeun Sangmu 14.1%
    • Bookmaker · Pinnacle
  3. Jul 24, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Hwacheon KSPO 1.43 · Draw 4.16 · Boeun Sangmu 6.49
    • Implied 1X2 · Hwacheon KSPO 63.9% · Draw 22.0% · Boeun Sangmu 14.1%
    • Bookmaker · Pinnacle
  4. Jul 24, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Hwacheon KSPO win · 2–0
  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 55/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 24/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:52 UTC Snapshot ID: dp-1452191

Closing Odds 1.43
AI Fair Odds —
CLV Pending
Final Result Hwacheon KSPO win · Hwacheon KSPO 2–0 Boeun Sangmu
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: WK-League
  • Fixture: Hwacheon KSPO vs Boeun Sangmu
  • Kickoff: 2026-07-24 10:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Hwacheon KSPO 1.44 — Boeun Sangmu 1.16 (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): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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

October 01, 2026 (UTC)

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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
WK-League South-Korea. WK-League Predictions