Predictions / Football / Indonesia. Liga 2 / Persiba Balikpapan vs Dejan

Prediction Audit: Persiba Balikpapan vs Dejan Prediction, Odds & AI Betting Tips

Persiba Balikpapan Persiba Balikpapan
Sep 25, 2026 - 12:00
0 1.32
1 1.28
xG Accuracy: 64%
Dejan Dejan

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

The model had projected Persiba Balikpapan at 36.1%, 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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Persiba Balikpapan Dejan ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Dejan higher than the statistical model.

Largest probability gap: Dejan -18.0 pp

Outcome Model Closing Market Difference Signal
Persiba Balikpapan 36.1% 23.1% +13.1 pp Model Edge
Draw 29.6% 24.7% +4.9 pp Aligned
Dejan 34.2% 52.2% -18.0 pp Market Higher

The closing market estimates Dejan's win probability at 52.2%, compared with the model's estimate of 34.2%, a difference of 18.0 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 Dejan win 0–1.

Market Assessment

The market is materially more optimistic about Dejan 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

  • 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
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

The closing market differed from the model on Persiba Balikpapan by 18.0 percentage points (54.1% vs model 36.1%) — 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 25, 2026 · 11:59 UTC Forecast generated
    • Model 1X2 · Persiba Balikpapan 36.1% · Draw 29.7% · Dejan 34.2%
    • xG · Persiba Balikpapan 1.32 — Dejan 1.28
  2. Sep 25, 2026 · 11:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Persiba Balikpapan 3.85 · Draw 3.59 · Dejan 1.70
    • Implied 1X2 · Persiba Balikpapan 23.1% · Draw 24.7% · Dejan 52.2%
    • Bookmaker · Pinnacle
  3. Sep 25, 2026 · 11:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Persiba Balikpapan 3.85 · Draw 3.59 · Dejan 1.70
    • Implied 1X2 · Persiba Balikpapan 23.1% · Draw 24.7% · Dejan 52.2%
    • Bookmaker · Pinnacle
  4. Sep 25, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Dejan 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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 3/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 19, 2026 · 00:47 UTC Snapshot ID: dp-9561385

Closing Odds 1.7
AI Fair Odds —
CLV Pending
Final Result Dejan win · Persiba Balikpapan 0–1 Dejan
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 2
  • Fixture: Persiba Balikpapan vs Dejan
  • Kickoff: 2026-09-25 12:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Persiba Balikpapan 1.32 — Dejan 1.28 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.9%, 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 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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: 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 30, 2026 (UTC)

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