Predictions / Football / Indonesia. Liga 1 / Persib Bandung vs PSIM Yogyakarta

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

Persib Bandung Persib Bandung
May 04, 2026 - 08:30
1 1.45
0 1.25
xG Accuracy: 63%
PSIM Yogyakarta PSIM Yogyakarta

AI correctly predicted the Persib Bandung win.

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

Model vs Closing Market

Strong Disagreement

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

Largest probability gap: Persib Bandung -36.1 pp

Outcome Model Closing Market Difference Signal
Persib Bandung 41.8% 77.9% -36.1 pp Market Higher
Draw 25.7% 15.0% +10.7 pp Model Edge
PSIM Yogyakarta 32.6% 7.2% +25.4 pp Model Edge

The closing market estimates Persib Bandung's win probability at 77.9%, compared with the model's estimate of 41.8%, a difference of 36.1 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 1–0).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 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 Persib Bandung higher (77.9% vs model 41.8%, 36.1 pp), but the model's lean was validated (Persib Bandung win 1–0).

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Prediction Timeline

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

  1. May 04, 2026 · 08:29 UTC Forecast generated
    • Model 1X2 · Persib Bandung 41.8% · Draw 25.7% · PSIM Yogyakarta 32.6%
    • xG · Persib Bandung 1.45 — PSIM Yogyakarta 1.25
  2. May 04, 2026 · 07:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Persib Bandung 1.21 · Draw 6.29 · PSIM Yogyakarta 13.18
    • Implied 1X2 · Persib Bandung 77.9% · Draw 15.0% · PSIM Yogyakarta 7.2%
    • Bookmaker · Pinnacle
  3. May 04, 2026 · 08:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Persib Bandung 1.21 · Draw 6.29 · PSIM Yogyakarta 13.18
    • Implied 1X2 · Persib Bandung 77.9% · Draw 15.0% · PSIM Yogyakarta 7.2%
    • Bookmaker · Pinnacle
  4. May 04, 2026 · 08:30 UTC Kickoff
  5. FT Full-time result Persib Bandung win · 1–0
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 31/100 · Low
  • Validation: Fail
  • Large market gap (36 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 17:02 UTC Snapshot ID: dp-2052472

Closing Odds 1.21
AI Fair Odds —
CLV Pending
Final Result Persib Bandung win · Persib Bandung 1–0 PSIM Yogyakarta
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

Model favours Persib Bandung; market prices Persib Bandung instead — inputs may be missing or stale.

  • Model: Persib Bandung 1.45 xG vs PSIM Yogyakarta 1.25 → Persib Bandung 41.8%
  • Market: Persib Bandung ~77.9% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 53.1% · Over 2.5 46.9%); BTTS Yes (Yes 68.4% · No 31.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

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 02, 2026 (UTC)

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Liga 1 Liga 1 — Standings
# TEAM MP W D L PTS
1 Persib Bandung 34 24 7 3 79
2 Pusamania Borneo 34 25 4 5 79
3 Persija 34 22 5 7 71
4 Persebaya Surabaya 34 16 10 8 58
5 Bhayangkara FC 34 16 5 13 53
6 Malut United 34 15 8 11 53
7 Dewa United 34 16 5 13 53
8 Bali United 34 14 9 11 51
9 Arema FC 34 13 9 12 48
10 Persita 34 13 6 15 45
11 PSIM Yogyakarta 34 11 12 11 45
12 Persik Kediri 34 11 6 17 39
13 Persijap 34 9 9 16 36
14 Persepam Madura Utd 34 9 8 17 35
15 PSM Makassar 34 8 10 16 34
16 Persis Solo 34 8 10 16 34
17 Semen Padang 34 5 5 24 20
18 PSBS Biak Numfor 34 4 6 24 18
# TEAM MP GS GC +/- PTS
1 Pusamania Borneo 34 74 31 +43 79
2 Malut United 34 68 53 +15 53
3 Persija 34 65 29 +36 71
4 Persebaya Surabaya 34 61 35 +26 58
5 Persib Bandung 34 59 22 +37 79
6 Bali United 34 57 48 +9 51
7 Bhayangkara FC 34 53 45 +8 53
8 Arema FC 34 53 47 +6 48
9 Dewa United 34 44 37 +7 53
10 PSIM Yogyakarta 34 43 44 -1 45
11 Persik Kediri 34 42 61 -19 39
12 PSM Makassar 34 39 49 -10 34
13 Persis Solo 34 39 59 -20 34
14 Persita 34 38 37 +1 45
15 Persepam Madura Utd 34 37 54 -17 35
16 Persijap 34 31 45 -14 36
17 PSBS Biak Numfor 34 31 95 -64 18
18 Semen Padang 34 22 65 -43 20