Predictions / Football / World. Friendlies Clubs / NK Osijek vs HNK Cibalia

Prediction Audit: NK Osijek vs HNK Cibalia Prediction, Odds & AI Betting Tips

NK Osijek NK Osijek
Jul 22, 2026 - 17:00
3 1.36
0 1.24
xG Accuracy: 45%
HNK Cibalia HNK Cibalia

AI correctly predicted the NK Osijek win.

The match finished 3–0, validating the model's directional assessment.

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 No ✖ Incorrect
  • 1X2 NK Osijek NK Osijek ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices NK Osijek higher than the statistical model.

Largest probability gap: NK Osijek -18.8 pp

Outcome Model Closing Market Difference Signal
NK Osijek 46.6% 65.4% -18.8 pp Market Higher
Draw 28.1% 24.6% +3.4 pp Aligned
HNK Cibalia 25.4% 9.9% +15.4 pp Model Edge

The closing market estimates NK Osijek's win probability at 65.4%, compared with the model's estimate of 46.6%, a difference of 18.8 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 (NK Osijek win 3–0).

Market Assessment

The market is materially more optimistic about NK Osijek 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

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 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 NK Osijek higher (65.4% vs model 46.6%, 18.8 pp), but the model's lean was validated (NK Osijek win 3–0).

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Prediction Timeline

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

  1. Jul 22, 2026 · 19:41 UTC Forecast generated
    • Model 1X2 · NK Osijek 46.5% · Draw 28.1% · HNK Cibalia 25.4%
    • xG · NK Osijek 1.36 — HNK Cibalia 1.24
  2. Jul 22, 2026 · 16:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · NK Osijek 1.36 · Draw 3.61 · HNK Cibalia 8.94
    • Implied 1X2 · NK Osijek 65.4% · Draw 24.6% · HNK Cibalia 9.9%
    • Bookmaker · Pinnacle
  3. Jul 22, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · NK Osijek 1.36 · Draw 3.61 · HNK Cibalia 8.94
    • Implied 1X2 · NK Osijek 65.4% · Draw 24.6% · HNK Cibalia 9.9%
    • Bookmaker · Pinnacle
  4. Jul 22, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result NK Osijek win · 3–0
  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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (19 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 5/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 30, 2026 · 09:19 UTC Snapshot ID: dp-2503465

Closing Odds 1.36
AI Fair Odds —
CLV Pending
Final Result NK Osijek win · NK Osijek 3–0 HNK Cibalia
Prediction ✔ Correct
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

Pre-match snapshot for this fixture.

  • League: Club Friendlies
  • Fixture: NK Osijek vs HNK Cibalia
  • Kickoff: 2026-07-22 17:00:00
  • 1X2 (model): Home 46.5% · Draw 28.1% · Away 25.4%
  • xG (showing): NK Osijek 1.36 — HNK Cibalia 1.24 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • 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 30, 2026 (UTC)

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