Predictions / Football / Indonesia. Liga 1 / Persijap vs Persib Bandung

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

Sep 20, 2026 - 12:00
1 1.16
2 1.44
xG Accuracy: 82%

AI correctly predicted the Persib Bandung win.

The match finished 1–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Persib Bandung Persib Bandung ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Persib Bandung higher than the statistical model.

Largest probability gap: Persib Bandung -20.1 pp

Outcome Model Closing Market Difference Signal
Persijap 28.8% 14.6% +14.2 pp Model Edge
Draw 29.3% 23.5% +5.8 pp Model Higher
Persib Bandung 41.9% 61.9% -20.1 pp Market Higher

The closing market estimates Persib Bandung's win probability at 61.9%, compared with the model's estimate of 41.9%, a difference of 20.1 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 (Persib Bandung win 1–2).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Persib Bandung higher (62.0% vs model 41.9%, 20.1 pp), but the model's lean was validated (Persib Bandung win 1–2).

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Prediction Timeline

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

  1. Sep 20, 2026 · 12:02 UTC Forecast generated
    • Model 1X2 · Persijap 28.8% · Draw 29.3% · Persib Bandung 41.9%
    • xG · Persijap 1.16 — Persib Bandung 1.44
  2. Sep 20, 2026 · 11:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Persijap 6.49 · Draw 4.04 · Persib Bandung 1.53
    • Implied 1X2 · Persijap 14.6% · Draw 23.5% · Persib Bandung 61.9%
    • Bookmaker · Pinnacle
  3. Sep 20, 2026 · 12:02 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Persijap 6.49 · Draw 4.04 · Persib Bandung 1.53
    • Implied 1X2 · Persijap 14.6% · Draw 23.5% · Persib Bandung 61.9%
    • Bookmaker · Pinnacle
  4. Sep 20, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Persib Bandung win · 1–2
  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 53/100 · Moderate
  • Validation: Warning
  • Large market gap (20 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 14, 2026 · 01:22 UTC Snapshot ID: dp-8667182

Closing Odds 1.53
AI Fair Odds —
CLV Pending
Final Result Persib Bandung win · Persijap 1–2 Persib Bandung
Prediction ✔ Correct
Decision Grade A

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: Liga 1
  • Fixture: Persijap vs Persib Bandung
  • Kickoff: 2026-09-20 12:00:00
  • 1X2 (model): Home 28.8% · Draw 29.3% · Away 41.9%
  • xG (showing): Persijap 1.16 — Persib Bandung 1.44 (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 54.0% · No 46.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.0% · No 46.0%
  • Correct score (top bin): 1-1 (12.4%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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: 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

September 30, 2026 (UTC)

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Liga 1 Liga 1 — Standings
# TEAM MP W D L PTS
1 Dewa United 4 3 1 0 10
2 Persepam Madura Utd 3 3 0 0 9
3 Persija 3 3 0 0 9
4 Bali United 3 2 0 1 6
5 Persib Bandung 3 2 0 1 6
6 Pusamania Borneo 4 2 0 2 6
7 Arema FC 3 1 2 0 5
8 Bhayangkara FC 3 1 2 0 5
9 Persita 3 1 2 0 5
10 Persebaya Surabaya 3 1 2 0 5
11 Persik Kediri 3 1 1 1 4
12 PSM Makassar 3 0 2 1 2
13 Garudayaksa 3 0 2 1 2
14 PSIM Yogyakarta 3 0 1 2 1
15 PSS Sleman 3 0 0 3 0
16 Persijap 3 0 0 3 0
17 Malut United 3 0 1 2 -1
18 Adhyaksa 3 0 0 3 -2
# TEAM MP GS GC +/- PTS
1 Dewa United 4 8 4 +4 10
2 Arema FC 3 8 4 +4 5
3 Persepam Madura Utd 3 7 2 +5 9
4 Bali United 3 6 3 +3 6
5 Persib Bandung 3 6 4 +2 6
6 Persita 3 6 5 +1 5
7 PSM Makassar 3 6 8 -2 2
8 Bhayangkara FC 3 5 3 +2 5
9 Persija 3 4 1 +3 9
10 Persebaya Surabaya 3 3 2 +1 5
11 Persik Kediri 3 3 2 +1 4
12 Pusamania Borneo 4 3 4 -1 6
13 Malut United 3 3 5 -2 -1
14 PSS Sleman 3 3 7 -4 0
15 Garudayaksa 3 2 4 -2 2
16 PSIM Yogyakarta 3 2 4 -2 1
17 Persijap 3 1 5 -4 0
18 Adhyaksa 3 1 10 -9 -2