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

Persija

Sep 12, 2026 - 08:30

2 1.29

1 1.31

xG Accuracy: 76%

Persib Bandung

The model missed the final outcome (Persija win 2–1).

The model had projected Persib Bandung at 35.6%, 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 Over 2.5 (3 goals) ✖ Incorrect
Both Teams To Score BTTS Yes Yes ✔ Correct
1X2 Persib Bandung Persija ✖ Incorrect
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
Persija	34.7%	41.4%	-6.7 pp	Market Higher
Draw	29.6%	28.5%	+1.1 pp	Aligned
Persib Bandung	35.6%	30.1%	+5.6 pp	Model Higher

The closing market estimates Persija's win probability at 41.4%, compared with the model's estimate of 34.7%, a difference of 6.7 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 Persija win 2–1.

Market Assessment

The market and model broadly agree on Persija. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

Monitor line movement before kickoff — not a betting recommendation.

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
Exact score 2–1 fell within the model's highlighted bins

What failed

Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
1X2: model leaned Persib Bandung; match finished Persija

Market lesson

The closing market differed from the model on Persib Bandung by 6.7 percentage points (42.3% vs model 35.6%) — in this case the market view proved closer.

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

Sep 12, 2026 · 08:29 UTC Forecast generated
- Model 1X2 · Persija 34.7% · Draw 29.7% · Persib Bandung 35.6%
- xG · Persija 1.29 — Persib Bandung 1.31
Sep 12, 2026 · 08:01 UTC Opening odds snapshot PRE30
- 1X2 odds · Persija 2.29 · Draw 3.32 · Persib Bandung 3.15
- Implied 1X2 · Persija 41.4% · Draw 28.5% · Persib Bandung 30.1%
- Bookmaker · Pinnacle
Sep 12, 2026 · 08:29 UTC Closing snapshot recorded PRE1
- 1X2 odds · Persija 2.29 · Draw 3.32 · Persib Bandung 3.15
- Implied 1X2 · Persija 41.4% · Draw 28.5% · Persib Bandung 30.1%
- Bookmaker · Pinnacle
Sep 12, 2026 · 08:30 UTC Kickoff
FT Full-time result Persija win · 2–1
FT Prediction missed 1X2 lean did not match full-time result
Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor

Historical Decision Monitor

Outcome Missed

Pre-match metrics (historical context)

Prediction Reliability 76/100 · High

Validation: Pass

Evidence ★★★★★

No strong statistical edge
Direction agrees with model lean
Validation passed

Pricing proximity (inverse gap) 23/100

Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 00:46 UTC Snapshot ID: dp-7418230

Closing Odds 2.29

AI Fair Odds —

CLV Pending

Final Result Persija win · Persija 2–1 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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: Liga 1
Fixture: Persija vs Persib Bandung
Kickoff: 2026-09-12 08:30:00
1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
xG (showing): Persija 1.29 — Persib Bandung 1.31 (total xG ≈ 2.6)
Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
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%)

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.

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

Historical Recommendation

Historical Decision: Monitor

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 29, 2026 (UTC)

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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