Predictions / Football / South-Korea. K League 2 / Ansan Greeners vs Hwaseong

Prediction Audit: Ansan Greeners vs Hwaseong Prediction, Odds & AI Betting Tips

Ansan Greeners Ansan Greeners
Sep 12, 2026 - 10:00
0 1.25
2 1.35
xG Accuracy: 59%
Hwaseong Hwaseong

AI correctly predicted the Hwaseong win.

The match finished 0–2, 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 Hwaseong Hwaseong ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Hwaseong higher than the statistical model.

Largest probability gap: Hwaseong -21.9 pp

Outcome Model Closing Market Difference Signal
Ansan Greeners 32.9% 18.2% +14.7 pp Model Edge
Draw 29.6% 22.3% +7.3 pp Model Higher
Hwaseong 37.5% 59.5% -21.9 pp Market Higher

The closing market estimates Hwaseong's win probability at 59.5%, compared with the model's estimate of 37.5%, a difference of 21.9 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 (Hwaseong win 0–2).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Hwaseong higher (59.4% vs model 37.5%, 21.9 pp), but the model's lean was validated (Hwaseong win 0–2).

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Prediction Timeline

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

  1. Sep 12, 2026 · 09:59 UTC Forecast generated
    • Model 1X2 · Ansan Greeners 32.9% · Draw 29.6% · Hwaseong 37.6%
    • xG · Ansan Greeners 1.25 — Hwaseong 1.35
  2. Sep 12, 2026 · 09:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Ansan Greeners 5.23 · Draw 4.26 · Hwaseong 1.60
    • Implied 1X2 · Ansan Greeners 18.2% · Draw 22.3% · Hwaseong 59.5%
    • Bookmaker · Pinnacle
  3. Sep 12, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Ansan Greeners 5.23 · Draw 4.26 · Hwaseong 1.60
    • Implied 1X2 · Ansan Greeners 18.2% · Draw 22.3% · Hwaseong 59.5%
    • Bookmaker · Pinnacle
  4. Sep 12, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Hwaseong win · 0–2
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 00:50 UTC Snapshot ID: dp-7419342

Closing Odds 1.6
AI Fair Odds —
CLV Pending
Final Result Hwaseong win · Ansan Greeners 0–2 Hwaseong
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

Quick read on how the model reads this matchup.

  • League: K League 2
  • Fixture: Ansan Greeners vs Hwaseong
  • Kickoff: 2026-09-12 10:00:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Ansan Greeners 1.25 — Hwaseong 1.35 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 (12.5%)

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: Wait

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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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