Prediction Audit: Bokelj vs Sutjeska Prediction, Odds & AI Betting Tips

May 02, 2026 - 17:00
2 1.45
3 1.25
xG Accuracy: 53%

The model missed the final outcome (Sutjeska win 2–3).

The model had projected Bokelj at 41.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Bokelj Sutjeska ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 1-2 2-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The model rates Bokelj considerably stronger than the closing betting market.

Largest probability gap: Bokelj +21.9 pp

Outcome Model Closing Market Difference Signal
Bokelj 41.8% 19.8% +21.9 pp Model Edge
Draw 25.7% 28.5% -2.8 pp Aligned
Sutjeska 32.6% 51.7% -19.1 pp Market Higher

The statistical model estimates Bokelj's win probability at 41.8%, compared with the closing market's implied probability of 19.8%, a difference of 21.9 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 Sutjeska win 2–3.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.70) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Bokelj; match finished Sutjeska
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Bokelj by 21.9 percentage points (19.8% vs model 41.8%) — 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. Before kickoff Forecast generated
    • Model 1X2 · Bokelj 41.8% · Draw 25.7% · Sutjeska 32.6%
    • xG · Bokelj 1.45 — Sutjeska 1.25
  2. May 03, 2026 · 15:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Bokelj 4.67 · Draw 3.25 · Sutjeska 1.79
    • Implied 1X2 · Bokelj 19.8% · Draw 28.5% · Sutjeska 51.7%
    • Bookmaker · Pinnacle
  3. May 03, 2026 · 16:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Bokelj 4.67 · Draw 3.25 · Sutjeska 1.79
    • Implied 1X2 · Bokelj 19.8% · Draw 28.5% · Sutjeska 51.7%
    • Bookmaker · Pinnacle
  4. May 02, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Sutjeska win · 2–3
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 08:17 UTC Snapshot ID: dp-1571483

Closing Odds 4.67
AI Fair Odds 2.39
CLV Pending
Final Result Sutjeska win · Bokelj 2–3 Sutjeska
Prediction ✖ Missed
Decision Grade C

Probability Calibration

  • Expected: 41.8%
  • Historical Bucket: 40–45% — Actual 0.0% (n=2)

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.

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Back to Predictions
First League First League — Standings
# TEAM MP W D L PTS
1 Sutjeska 36 22 6 8 72
2 Mornar 36 20 9 7 69
3 Petrovac 36 13 12 11 51
4 Dečić 36 14 9 13 51
5 Buducnost Podgorica 36 13 9 14 48
6 Mladost DG 36 14 4 18 46
7 Arsenal Tivat 36 12 10 14 46
8 Jezero 36 10 11 15 41
9 Bokelj 36 8 12 16 36
10 Jedinstvo 36 9 8 19 35
# TEAM MP GS GC +/- PTS
1 Sutjeska 36 61 36 +25 72
2 Mornar 36 51 29 +22 69
3 Mladost DG 36 49 54 -5 46
4 Petrovac 36 44 36 +8 51
5 Dečić 36 43 45 -2 51
6 Jezero 36 38 48 -10 41
7 Bokelj 36 38 48 -10 36
8 Buducnost Podgorica 36 36 35 +1 48
9 Arsenal Tivat 36 36 46 -10 46
10 Jedinstvo 36 30 49 -19 35