Prediction Audit: Heracles vs Den Bosch Prediction, Odds & AI Betting Tips

Aug 14, 2026 - 18:00
3 1.72
2 1.44
xG Accuracy: 60%

AI correctly predicted the Heracles win.

The match finished 3–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Heracles Heracles ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 2-2 3-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Heracles higher than the statistical model.

Largest probability gap: Heracles -12.2 pp

Outcome Model Closing Market Difference Signal
Heracles 46.0% 58.2% -12.2 pp Market Higher
Draw 25.5% 22.0% +3.5 pp Aligned
Den Bosch 28.6% 19.8% +8.8 pp Model Higher

The closing market estimates Heracles's win probability at 58.2%, compared with the model's estimate of 46.0%, a difference of 12.2 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 (Heracles win 3–2).

Market Assessment

The market is materially more optimistic about Heracles 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 3.16) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 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 Heracles higher (58.2% vs model 46.0%, 12.2 pp), but the model's lean was validated (Heracles win 3–2).

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Prediction Timeline

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

  1. Aug 14, 2026 · 19:24 UTC Forecast generated
    • Model 1X2 · Heracles 45.9% · Draw 25.5% · Den Bosch 28.6%
    • xG · Heracles 1.72 — Den Bosch 1.44
  2. Aug 14, 2026 · 17:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Heracles 1.63 · Draw 4.31 · Den Bosch 4.79
    • Implied 1X2 · Heracles 58.2% · Draw 22.0% · Den Bosch 19.8%
    • Bookmaker · Pinnacle
  3. Aug 14, 2026 · 18:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Heracles 1.63 · Draw 4.31 · Den Bosch 4.79
    • Implied 1X2 · Heracles 58.2% · Draw 22.0% · Den Bosch 19.8%
    • Bookmaker · Pinnacle
  4. Aug 14, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Heracles win · 3–2
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 38/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 08, 2026 · 02:11 UTC Snapshot ID: dp-3234918

Closing Odds 1.63
AI Fair Odds —
CLV Pending
Final Result Heracles win · Heracles 3–2 Den Bosch
Prediction ✔ Correct
Decision Grade A

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: Eerste Divisie
  • Fixture: Heracles vs Den Bosch
  • Kickoff: 2026-08-14 18:00:00
  • 1X2 (model): Home 45.9% · Draw 25.5% · Away 28.6%
  • xG (showing): Heracles 1.72 — Den Bosch 1.44 (total xG ≈ 3.16)
  • 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 Over 2.5 (Under 2.5 38.8% · Over 2.5 61.2%); BTTS Yes (Yes 64.0% · No 36.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 64.0% · No 36.0%
  • Correct score (top bin): 1-1 (10.5%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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

October 02, 2026 (UTC)

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Eerste Divisie Eerste Divisie — Standings
# TEAM MP W D L PTS
1 Heracles 8 7 0 1 21
2 Almere City FC 8 5 1 2 16
3 MVV 8 5 1 2 16
4 VVV Venlo 8 5 0 3 15
5 Roda 8 4 3 1 15
6 Emmen 8 5 0 3 15
7 Waalwijk 8 3 4 1 13
8 Vitesse 8 4 1 3 13
9 NAC Breda 8 4 1 3 13
10 Jong AZ 9 4 1 4 13
11 FC Volendam 8 4 0 4 12
12 Jong PSV 9 3 3 3 12
13 FC Eindhoven 8 3 1 4 10
14 Helmond Sport 8 2 2 4 8
15 Jong Ajax 9 2 2 5 8
16 Den Bosch 8 2 1 5 7
17 Dordrecht 8 2 1 5 7
18 De Graafschap 8 2 1 5 7
19 Jong Utrecht 9 2 1 6 7
20 FC OSS 8 2 0 6 6
# TEAM MP GS GC +/- PTS
1 Heracles 8 26 10 +16 21
2 Jong AZ 9 22 17 +5 13
3 VVV Venlo 8 21 14 +7 15
4 FC Volendam 8 20 16 +4 12
5 Almere City FC 8 18 7 +11 16
6 Waalwijk 8 18 11 +7 13
7 Emmen 8 18 17 +1 15
8 NAC Breda 8 17 17 0 13
9 Jong Utrecht 9 15 21 -6 7
10 Jong PSV 9 14 16 -2 12
11 Vitesse 8 13 11 +2 13
12 Helmond Sport 8 13 14 -1 8
13 FC Eindhoven 8 13 17 -4 10
14 Jong Ajax 9 13 22 -9 8
15 MVV 8 12 15 -3 16
16 Den Bosch 8 12 17 -5 7
17 Dordrecht 8 12 23 -11 7
18 Roda 8 9 5 +4 15
19 De Graafschap 8 9 20 -11 7
20 FC OSS 8 8 13 -5 6
# TEAM MP xG xGC +/- PTS
1 FC Volendam 8 9.6 5.1 +4.5 12
2 Heracles 8 10.1 6.0 +4.1 21
3 Emmen 8 9.2 6.2 +3.0 15
4 NAC Breda 8 9.8 6.9 +2.9 13
5 MVV 8 6.7 3.8 +2.9 16
6 Jong PSV 9 8.5 5.7 +2.8 12
7 Den Bosch 8 9.6 7.0 +2.6 7
8 Vitesse 8 8.0 6.8 +1.2 13
9 Jong AZ 9 6.9 5.7 +1.2 13
10 Almere City FC 8 7.2 6.1 +1.1 16
11 Roda 8 8.1 7.2 +0.9 15
12 Waalwijk 8 4.8 4.6 +0.2 13
13 FC OSS 8 5.3 7.3 -2.0 6
14 De Graafschap 8 5.4 7.6 -2.2 7
15 Jong Ajax 9 8.4 10.8 -2.4 8
16 VVV Venlo 8 5.7 8.9 -3.2 15
17 Helmond Sport 8 2.6 6.2 -3.6 8
18 Jong Utrecht 9 5.4 9.6 -4.2 7
19 FC Eindhoven 8 3.9 8.2 -4.3 10
20 Dordrecht 8 5.0 10.7 -5.7 7