Predictions / Football / Indonesia. Liga 2 / PSPS vs Persiraja Banda Aceh

Prediction Audit: PSPS vs Persiraja Banda Aceh Prediction, Odds & AI Betting Tips

Sep 19, 2026 - 08:30
2 1.32
1 1.28
xG Accuracy: 77%

AI correctly predicted the PSPS win.

The match finished 2–1, 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 PSPS PSPS ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices PSPS higher than the statistical model.

Largest probability gap: PSPS -13.5 pp

Outcome Model Closing Market Difference Signal
PSPS 36.1% 49.6% -13.5 pp Market Higher
Draw 29.6% 25.5% +4.1 pp Aligned
Persiraja Banda Aceh 34.2% 24.8% +9.4 pp Model Higher

The closing market estimates PSPS's win probability at 49.6%, compared with the model's estimate of 36.1%, a difference of 13.5 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 (PSPS win 2–1).

Market Assessment

The market is materially more optimistic about PSPS 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

  • 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)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced PSPS higher (49.6% vs model 36.1%, 13.5 pp), but the model's lean was validated (PSPS win 2–1).

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Prediction Timeline

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

  1. Sep 19, 2026 · 08:29 UTC Forecast generated
    • Model 1X2 · PSPS 36.1% · Draw 29.7% · Persiraja Banda Aceh 34.2%
    • xG · PSPS 1.32 — Persiraja Banda Aceh 1.28
  2. Sep 19, 2026 · 08:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · PSPS 1.80 · Draw 3.50 · Persiraja Banda Aceh 3.60
    • Implied 1X2 · PSPS 49.6% · Draw 25.5% · Persiraja Banda Aceh 24.8%
    • Bookmaker · Bet365
  3. Sep 19, 2026 · 08:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · PSPS 1.80 · Draw 3.50 · Persiraja Banda Aceh 3.60
    • Implied 1X2 · PSPS 49.6% · Draw 25.5% · Persiraja Banda Aceh 24.8%
    • Bookmaker · Bet365
  4. Sep 19, 2026 · 08:30 UTC Kickoff
  5. FT Full-time result PSPS win · 2–1
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (14 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 32/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 00:46 UTC Snapshot ID: dp-8655242

Closing Odds 1.8
AI Fair Odds —
CLV Pending
Final Result PSPS win · PSPS 2–1 Persiraja Banda Aceh
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

Quick read on how the model reads this matchup.

  • League: Liga 2
  • Fixture: PSPS vs Persiraja Banda Aceh
  • Kickoff: 2026-09-19 08:30:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): PSPS 1.32 — Persiraja Banda Aceh 1.28 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.9%, still below the +2.0% minimum for a headline / default stake (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 (12.5%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Monitor

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 29, 2026 (UTC)

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