Predictions / Football / Netherlands. KNVB Beker / Sportlust '46 vs Blauw Geel

Prediction Audit: Sportlust '46 vs Blauw Geel Prediction, Odds & AI Betting Tips

Sportlust '46 Sportlust '46
Sep 01, 2026 - 18:00
3 1.35
1 1.25
xG Accuracy: 59%
Blauw Geel Blauw Geel

AI correctly predicted the Sportlust '46 win.

The match finished 3–1, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Sportlust '46 Sportlust '46 ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Sportlust '46 higher than the statistical model.

Largest probability gap: Sportlust '46 -7.7 pp

Outcome Model Closing Market Difference Signal
Sportlust '46 37.5% 45.2% -7.7 pp Market Higher
Draw 29.6% 26.0% +3.6 pp Aligned
Blauw Geel 32.9% 28.8% +4.0 pp Aligned

The closing market estimates Sportlust '46's win probability at 45.2%, compared with the model's estimate of 37.5%, a difference of 7.7 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 (Sportlust '46 win 3–1).

Market Assessment

The market and model broadly agree on Sportlust '46. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sportlust '46 higher (45.2% vs model 37.5%, 7.7 pp), but the model's lean was validated (Sportlust '46 win 3–1).

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Prediction Timeline

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

  1. Sep 01, 2026 · 18:00 UTC Forecast generated
    • Model 1X2 · Sportlust '46 37.6% · Draw 29.6% · Blauw Geel 32.9%
    • xG · Sportlust '46 1.35 — Blauw Geel 1.25
  2. Sep 01, 2026 · 17:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sportlust '46 2.01 · Draw 3.50 · Blauw Geel 3.15
    • Implied 1X2 · Sportlust '46 45.2% · Draw 26.0% · Blauw Geel 28.8%
    • Bookmaker · Pinnacle
  3. Sep 01, 2026 · 18:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sportlust '46 2.01 · Draw 3.50 · Blauw Geel 3.15
    • Implied 1X2 · Sportlust '46 45.2% · Draw 26.0% · Blauw Geel 28.8%
    • Bookmaker · Pinnacle
  4. Sep 01, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Sportlust '46 win · 3–1
  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 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 61/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 26, 2026 · 02:28 UTC Snapshot ID: dp-5505084

Closing Odds 2.01
AI Fair Odds —
CLV Pending
Final Result Sportlust '46 win · Sportlust '46 3–1 Blauw Geel
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: KNVB Beker
  • Fixture: Sportlust '46 vs Blauw Geel
  • Kickoff: 2026-09-01 18:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Sportlust '46 1.35 — Blauw Geel 1.25 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

October 01, 2026 (UTC)

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