Prediction Audit: Petrocub vs Borac Banja Luka Prediction, Odds & AI Betting Tips

Jul 30, 2026 - 17:00
3 2.02
3 1.19
xG Accuracy: 46%

The model missed the final outcome (Draw 3–3).

The model had projected Petrocub at 55.3%, 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 (6 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Petrocub Draw ✖ Incorrect
  • Correct Score Insights 2-1, 1-1, 2-0, 1-0, 3-1 3-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

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

Largest probability gap: Petrocub +31.4 pp

Outcome Model Closing Market Difference Signal
Petrocub 55.3% 23.9% +31.4 pp Model Edge
Draw 23.9% 28.0% -4.1 pp Aligned
Borac Banja Luka 20.8% 48.1% -27.4 pp Market Higher

The statistical model estimates Petrocub's win probability at 55.3%, compared with the closing market's implied probability of 23.9%, a difference of 31.4 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 Draw 3–3.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.21) — 6 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 Petrocub; match finished Draw
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Petrocub by 31.4 percentage points (23.9% vs model 55.3%) — 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. Jul 30, 2026 · 16:59 UTC Forecast generated
    • Model 1X2 · Petrocub 55.3% · Draw 23.9% · Borac Banja Luka 20.8%
    • xG · Petrocub 2.02 — Borac Banja Luka 1.19
  2. Jul 30, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Petrocub 3.83 · Draw 3.27 · Borac Banja Luka 1.90
    • Implied 1X2 · Petrocub 23.9% · Draw 28.0% · Borac Banja Luka 48.1%
    • Bookmaker · Pinnacle
  3. Jul 30, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Petrocub 3.83 · Draw 3.27 · Borac Banja Luka 1.90
    • Implied 1X2 · Petrocub 23.9% · Draw 28.0% · Borac Banja Luka 48.1%
    • Bookmaker · Pinnacle
  4. Jul 30, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Draw · 3–3
  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 33/100 · Low
  • Validation: Fail
  • Large market gap (31 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 01:25 UTC Snapshot ID: dp-1525667

Closing Odds 3.83
AI Fair Odds —
CLV Pending
Final Result Draw · Petrocub 3–3 Borac Banja Luka
Prediction ✖ Missed
Decision Grade C

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 Petrocub; market prices Borac Banja Luka instead — inputs may be missing or stale.

  • Model: Petrocub 2.02 xG vs Borac Banja Luka 1.19 → Petrocub 55.3%
  • Market: Borac Banja Luka ~23.9% 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 Over 2.5 (Under 2.5 37.8% · Over 2.5 62.2%); BTTS Yes (Yes 61.6% · No 38.4%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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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UEFA Europa Conference League UEFA Europa Conference League — Standings
# TEAM MP W D L PTS
1 Aarhus 0 0 0 0 0
2 Ajax 0 0 0 0 0
3 Atalanta 0 0 0 0 0
4 Borac Banja Luka 0 0 0 0 0
5 SC Braga 0 0 0 0 0
6 Brann 0 0 0 0 0
7 Brighton 0 0 0 0 0
8 FC Copenhagen 0 0 0 0 0
9 FK Crvena Zvezda 0 0 0 0 0
10 CSKA Sofia 0 0 0 0 0
11 Egnatia Rrogozhinë 0 0 0 0 0
12 SC Freiburg 0 0 0 0 0
13 Gent 0 0 0 0 0
14 Getafe 0 0 0 0 0
15 HNK Hajduk Split 0 0 0 0 0
16 Heart Of Midlothian 0 0 0 0 0
17 Saburtalo 0 0 0 0 0
18 Inter Club d'Escaldes 0 0 0 0 0
19 FK Jablonec 0 0 0 0 0
20 Kairat Almaty 0 0 0 0 0
21 Kauno Žalgiris 0 0 0 0 0
22 KuPS 0 0 0 0 0
23 Lincoln Red Imps FC 0 0 0 0 0
24 FC Lugano 0 0 0 0 0
25 FC Midtjylland 0 0 0 0 0
26 Mjallby AIF 0 0 0 0 0
27 Monaco 0 0 0 0 0
28 FC Nordsjaelland 0 0 0 0 0
29 Pafos 0 0 0 0 0
30 Panathinaikos 0 0 0 0 0
31 Riga 0 0 0 0 0
32 St. Truiden 0 0 0 0 0
33 FC Thun 0 0 0 0 0
34 Trabzonspor 0 0 0 0 0
35 Twente 0 0 0 0 0
36 Universitatea Craiova 0 0 0 0 0
# TEAM MP GS GC +/- PTS
1 Aarhus 0 0 0 0 0
2 Ajax 0 0 0 0 0
3 Atalanta 0 0 0 0 0
4 Borac Banja Luka 0 0 0 0 0
5 SC Braga 0 0 0 0 0
6 Brann 0 0 0 0 0
7 Brighton 0 0 0 0 0
8 FC Copenhagen 0 0 0 0 0
9 FK Crvena Zvezda 0 0 0 0 0
10 CSKA Sofia 0 0 0 0 0
11 Egnatia Rrogozhinë 0 0 0 0 0
12 SC Freiburg 0 0 0 0 0
13 Gent 0 0 0 0 0
14 Getafe 0 0 0 0 0
15 HNK Hajduk Split 0 0 0 0 0
16 Heart Of Midlothian 0 0 0 0 0
17 Saburtalo 0 0 0 0 0
18 Inter Club d'Escaldes 0 0 0 0 0
19 FK Jablonec 0 0 0 0 0
20 Kairat Almaty 0 0 0 0 0
21 Kauno Žalgiris 0 0 0 0 0
22 KuPS 0 0 0 0 0
23 Lincoln Red Imps FC 0 0 0 0 0
24 FC Lugano 0 0 0 0 0
25 FC Midtjylland 0 0 0 0 0
26 Mjallby AIF 0 0 0 0 0
27 Monaco 0 0 0 0 0
28 FC Nordsjaelland 0 0 0 0 0
29 Pafos 0 0 0 0 0
30 Panathinaikos 0 0 0 0 0
31 Riga 0 0 0 0 0
32 St. Truiden 0 0 0 0 0
33 FC Thun 0 0 0 0 0
34 Trabzonspor 0 0 0 0 0
35 Twente 0 0 0 0 0
36 Universitatea Craiova 0 0 0 0 0