Predictions / Football / Netherlands. Tweede Divisie / Spakenburg vs Barendrecht

Prediction Audit: Spakenburg vs Barendrecht Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 13:00
1 1.36
3 1.24
xG Accuracy: 56%

The model missed the final outcome (Barendrecht win 1–3).

The model had projected Spakenburg at 38.0%, but the full-time result went the other way.

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Spakenburg Barendrecht ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Spakenburg higher than the statistical model.

Largest probability gap: Spakenburg -25.6 pp

Outcome Model Closing Market Difference Signal
Spakenburg 38.0% 63.6% -25.6 pp Market Higher
Draw 29.6% 17.6% +12.0 pp Model Edge
Barendrecht 32.4% 18.8% +13.6 pp Model Edge

The closing market estimates Spakenburg's win probability at 63.6%, compared with the model's estimate of 38.0%, a difference of 25.6 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 result was Barendrecht win 1–3.

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)
  • 1X2: model leaned Spakenburg; match finished Barendrecht

Market lesson

The closing market differed from the model on Spakenburg by 25.6 percentage points (63.6% vs model 38.0%) — 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. Sep 05, 2026 · 13:03 UTC Forecast generated
    • Model 1X2 · Spakenburg 38.0% · Draw 29.6% · Barendrecht 32.4%
    • xG · Spakenburg 1.36 — Barendrecht 1.24
  2. Sep 05, 2026 · 12:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Spakenburg 1.42 · Draw 5.13 · Barendrecht 4.80
    • Implied 1X2 · Spakenburg 63.6% · Draw 17.6% · Barendrecht 18.8%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 13:03 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Spakenburg 1.42 · Draw 5.13 · Barendrecht 4.80
    • Implied 1X2 · Spakenburg 63.6% · Draw 17.6% · Barendrecht 18.8%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Barendrecht win · 1–3
  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 50/100 · Moderate
  • Validation: Warning
  • Large market gap (26 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 32/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 02:06 UTC Snapshot ID: dp-6139260

Closing Odds 1.42
AI Fair Odds —
CLV Pending
Final Result Barendrecht win · Spakenburg 1–3 Barendrecht
Prediction ✖ Missed
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

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

  • League: Tweede Divisie
  • Fixture: Spakenburg vs Barendrecht
  • Kickoff: 2026-09-05 13:00:00
  • 1X2 (model): Home 38.0% · Draw 29.6% · Away 32.4%
  • xG (showing): Spakenburg 1.36 — Barendrecht 1.24 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.7%, still below the +2.0% minimum for a headline / default stake (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 54.4% · 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: 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 30, 2026 (UTC)

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Tweede Divisie Tweede Divisie — Standings
# TEAM MP W D L PTS
1 Quick Boys 6 5 0 1 15
2 Kozakken Boys 6 4 1 1 13
3 De Treffers 6 3 3 0 12
4 HHC 6 3 2 1 11
5 Ijsselmeervogels 5 3 1 1 10
6 Spakenburg 6 3 1 2 10
7 AFC Amsterdam 6 3 1 2 10
8 Sparta Rotterdam II 6 2 3 1 9
9 RKAV Volendam 6 2 3 1 9
10 Katwijk 6 2 2 2 8
11 Barendrecht 6 2 2 2 8
12 Rijnsburgse Boys 6 2 1 3 7
13 Hoek 6 1 3 2 6
14 Koninklijke HFC 6 1 2 3 5
15 Kloetinge 6 1 2 3 5
16 Almere City II 6 1 1 4 4
17 GVVV Veenendaal 5 1 0 4 3
18 ROHDA Raalte 6 0 0 6 0
# TEAM MP GS GC +/- PTS
1 Sparta Rotterdam II 6 18 12 +6 9
2 Quick Boys 6 17 4 +13 15
3 Kozakken Boys 6 17 10 +7 13
4 De Treffers 6 14 6 +8 12
5 HHC 6 13 9 +4 11
6 AFC Amsterdam 6 11 11 0 10
7 Rijnsburgse Boys 6 11 18 -7 7
8 Almere City II 6 10 12 -2 4
9 Spakenburg 6 9 6 +3 10
10 Katwijk 6 9 8 +1 8
11 Barendrecht 6 8 9 -1 8
12 Hoek 6 8 9 -1 6
13 Koninklijke HFC 6 8 12 -4 5
14 GVVV Veenendaal 5 8 14 -6 3
15 RKAV Volendam 6 7 10 -3 9
16 Kloetinge 6 7 14 -7 5
17 Ijsselmeervogels 5 6 3 +3 10
18 ROHDA Raalte 6 3 17 -14 0