Predictions / Football / World. Friendlies Clubs / Sokół Kolb. vs Czarni Połaniec

Prediction Audit: Sokół Kolb. vs Czarni Połaniec Prediction, Odds & AI Betting Tips

Jul 24, 2026 - 15:30
2 1.36
1 1.24
xG Accuracy: 78%

AI correctly predicted the Sokół Kolb. 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 Sokół Kolb. Sokół Kolb. ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Czarni Połaniec -3.2 pp

Outcome Model Closing Market Difference Signal
Sokół Kolb. 38.0% 36.6% +1.4 pp Aligned
Draw 29.6% 27.7% +1.9 pp Aligned
Czarni Połaniec 32.4% 35.6% -3.2 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (Sokół Kolb. win 2–1).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

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

The model's directional lean matched the full-time result (Sokół Kolb. win 2–1).

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Prediction Timeline

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

  1. Jul 24, 2026 · 19:41 UTC Forecast generated
    • Model 1X2 · Sokół Kolb. 38.0% · Draw 29.6% · Czarni Połaniec 32.4%
    • xG · Sokół Kolb. 1.36 — Czarni Połaniec 1.24
  2. Jul 24, 2026 · 14:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sokół Kolb. 2.43 · Draw 3.21 · Czarni Połaniec 2.50
    • Implied 1X2 · Sokół Kolb. 36.6% · Draw 27.7% · Czarni Połaniec 35.6%
    • Bookmaker · Pinnacle
  3. Jul 24, 2026 · 15:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sokół Kolb. 2.43 · Draw 3.21 · Czarni Połaniec 2.50
    • Implied 1X2 · Sokół Kolb. 36.6% · Draw 27.7% · Czarni Połaniec 35.6%
    • Bookmaker · Pinnacle
  4. Jul 24, 2026 · 15:30 UTC Kickoff
  5. FT Full-time result Sokół Kolb. 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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 83/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:57 UTC Snapshot ID: dp-1453571

Closing Odds 2.5
AI Fair Odds —
CLV Pending
Final Result Sokół Kolb. win · Sokół Kolb. 2–1 Czarni Połaniec
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Club Friendlies
  • Fixture: Sokół Kolb. vs Czarni Połaniec
  • Kickoff: 2026-07-24 15:30:00
  • 1X2 (model): Home 0.0% · Draw 50.0% · Away 50.0%
  • xG (showing): Sokół Kolb. 1.36 — Czarni Połaniec 1.24 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

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

Historical Recommendation

Historical Decision: No Primary Bet

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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