Predictions / Football / World. AFC Cup / FC Seoul vs Persib Bandung

Prediction Audit: FC Seoul vs Persib Bandung Prediction, Odds & AI Betting Tips

Sep 16, 2026 - 10:00
0 1.30
1 1.30
xG Accuracy: 64%

The model missed the final outcome (Persib Bandung win 0–1).

The model had projected FC Seoul at 35.2%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 FC Seoul Persib Bandung ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices FC Seoul higher than the statistical model.

Largest probability gap: FC Seoul -20.9 pp

Outcome Model Closing Market Difference Signal
FC Seoul 35.2% 56.1% -20.9 pp Market Higher
Draw 29.6% 22.7% +7.0 pp Model Higher
Persib Bandung 35.2% 21.2% +13.9 pp Model Edge

The closing market estimates FC Seoul's win probability at 56.1%, compared with the model's estimate of 35.2%, a difference of 20.9 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 result was Persib Bandung win 0–1.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned FC Seoul; match finished Persib Bandung

Market lesson

The closing market differed from the model on FC Seoul by 20.9 percentage points (56.1% vs model 35.2%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 16, 2026 · 09:59 UTC Forecast generated
    • Model 1X2 · FC Seoul 35.2% · Draw 29.6% · Persib Bandung 35.2%
    • xG · FC Seoul 1.30 — Persib Bandung 1.30
  2. Sep 16, 2026 · 09:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC Seoul 1.61 · Draw 3.98 · Persib Bandung 4.25
    • Implied 1X2 · FC Seoul 56.1% · Draw 22.7% · Persib Bandung 21.2%
    • Bookmaker · Pinnacle
  3. Sep 16, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · FC Seoul 1.61 · Draw 3.98 · Persib Bandung 4.25
    • Implied 1X2 · FC Seoul 56.1% · Draw 22.7% · Persib Bandung 21.2%
    • Bookmaker · Pinnacle
  4. Sep 16, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Persib Bandung win · 0–1
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (21 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 10, 2026 · 01:52 UTC Snapshot ID: dp-7845732

Closing Odds 1.61
AI Fair Odds —
CLV Pending
Final Result Persib Bandung win · FC Seoul 0–1 Persib Bandung
Prediction ✖ Missed
Decision Grade F

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

Pre-match snapshot for this fixture.

  • League: AFC Cup
  • Fixture: FC Seoul vs Persib Bandung
  • Kickoff: 2026-09-16 10:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): FC Seoul 1.3 — Persib Bandung 1.3 (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 (12.6%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Wait

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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AFC Cup AFC Cup — Standings
# TEAM MP W D L PTS
1 Al Wahda FC 1 1 0 0 3
2 Nasaf 1 0 1 0 1
3 Khalidiya 1 0 1 0 1
4 Al Kuwait 1 0 0 1 0
# TEAM MP GS GC +/- PTS
1 Al Wahda FC 1 3 2 +1 3
2 Al Kuwait 1 2 3 -1 0
3 Nasaf 1 0 0 0 1
4 Khalidiya 1 0 0 0 1