Predictions / Football / World. Friendlies Clubs / Pelikan Łowicz vs Swit

Prediction Audit: Pelikan Łowicz vs Swit Prediction, Odds & AI Betting Tips

Pelikan Łowicz Pelikan Łowicz
Jul 15, 2026 - 15:00
2 1.35
1 1.25
xG Accuracy: 78%
Swit Swit

AI correctly predicted the Pelikan Łowicz 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 Pelikan Łowicz Pelikan Łowicz ✔ 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: Draw +2.1 pp

Outcome Model Closing Market Difference Signal
Pelikan Łowicz 38.5% 40.2% -1.7 pp Aligned
Draw 28.5% 26.4% +2.1 pp Aligned
Swit 33.0% 33.4% -0.4 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 (Pelikan Łowicz 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 (Pelikan Łowicz win 2–1).

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Prediction Timeline

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

  1. Jul 15, 2026 · 19:22 UTC Forecast generated
    • Model 1X2 · Pelikan Łowicz 38.5% · Draw 28.5% · Swit 33.0%
    • xG · Pelikan Łowicz 1.35 — Swit 1.25
  2. Jul 15, 2026 · 14:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Pelikan Łowicz 2.21 · Draw 3.37 · Swit 2.66
    • Implied 1X2 · Pelikan Łowicz 40.2% · Draw 26.4% · Swit 33.4%
    • Bookmaker · Pinnacle
  3. Jul 15, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Pelikan Łowicz 2.21 · Draw 3.37 · Swit 2.66
    • Implied 1X2 · Pelikan Łowicz 40.2% · Draw 26.4% · Swit 33.4%
    • Bookmaker · Pinnacle
  4. Jul 15, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Pelikan Łowicz 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 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 89/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 16:11 UTC Snapshot ID: dp-3059178

Closing Odds 3.37
AI Fair Odds —
CLV Pending
Final Result Pelikan Łowicz win · Pelikan Łowicz 2–1 Swit
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

Quick read on how the model reads this matchup.

  • League: Club Friendlies
  • Fixture: Pelikan Łowicz vs Świt Nowy Dwór Mazowiecki
  • Kickoff: 2026-07-15 15:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Pelikan Łowicz 1.35 — Świt Nowy Dwór Mazowiecki 1.25 (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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 29, 2026 (UTC)

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