AI correctly predicted the Seoul win.
The match finished 0–2, validating the model's directional assessment.
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 Under 2.5 (2 goals) ✔ Correct
- Both Teams To Score BTTS Yes No ✖ Incorrect
- 1X2 Seoul Seoul ✔ Correct
- Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-2 ✖ Incorrect
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Gumi Sportstoto | 32.4% | 44.8% | -12.4 pp | Market Higher |
| Draw | 29.6% | 26.3% | +3.2 pp | Aligned |
| Seoul | 38.0% | 28.9% | +9.1 pp | Model Higher |
The closing market estimates Gumi Sportstoto's win probability at 44.8%, compared with the model's estimate of 32.4%, a difference of 12.4 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 (Seoul win 0–2).
Market Assessment
The market is materially more optimistic about Gumi Sportstoto 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
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 Seoul higher (50.4% vs model 38.0%, 12.4 pp), but the model's lean was validated (Seoul win 0–2).
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 05, 2026 · 09:59 UTC Forecast generated
- Model 1X2 · Gumi Sportstoto 32.4% · Draw 29.6% · Seoul 38.0%
- xG · Gumi Sportstoto 1.24 — Seoul 1.36
-
Sep 05, 2026 · 09:30 UTC Opening odds snapshot PRE30
- 1X2 odds · Gumi Sportstoto 2.00 · Draw 3.40 · Seoul 3.10
- Implied 1X2 · Gumi Sportstoto 44.8% · Draw 26.3% · Seoul 28.9%
- Bookmaker · Bet365
-
Sep 05, 2026 · 09:59 UTC Closing snapshot recorded PRE1
- 1X2 odds · Gumi Sportstoto 2.00 · Draw 3.40 · Seoul 3.10
- Implied 1X2 · Gumi Sportstoto 44.8% · Draw 26.3% · Seoul 28.9%
- Bookmaker · Bet365
-
Sep 05, 2026 · 10:00 UTC Kickoff
-
FT Full-time result Seoul win · 0–2
-
FT Prediction validated Directional lean matched full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (12 pp)
- No strong statistical edge
- Market has already priced much of the edge
- Validation warning
Validation Report
Immutable SnapshotModel 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.
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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 |
