Prediction Audit: Roda vs Helmond Sport Prediction, Odds & AI Betting Tips

Aug 14, 2026 - 18:00
2 1.68
1 1.25
xG Accuracy: 86%

AI correctly predicted the Roda win.

The match finished 2–1, 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 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Roda Roda ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 2-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Roda higher than the statistical model.

Largest probability gap: Roda -8.0 pp

Outcome Model Closing Market Difference Signal
Roda 47.8% 55.8% -8.0 pp Market Higher
Draw 26.3% 23.1% +3.2 pp Aligned
Helmond Sport 25.9% 21.1% +4.8 pp Aligned

The closing market estimates Roda's win probability at 55.8%, compared with the model's estimate of 47.8%, a difference of 8.0 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 (Roda win 2–1).

Market Assessment

The market and model broadly agree on Roda. 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 2.93) — 3 goals materialised
  • Roda attacking xG significantly stronger (1.68 vs 1.25)
  • Both Teams To Score (Yes) matched the full-time result

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Roda higher (55.8% vs model 47.8%, 8.0 pp), but the model's lean was validated (Roda win 2–1).

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Prediction Timeline

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

  1. Aug 14, 2026 · 19:25 UTC Forecast generated
    • Model 1X2 · Roda 47.9% · Draw 26.3% · Helmond Sport 25.8%
    • xG · Roda 1.68 — Helmond Sport 1.25
  2. Aug 14, 2026 · 17:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Roda 1.70 · Draw 4.10 · Helmond Sport 4.50
    • Implied 1X2 · Roda 55.8% · Draw 23.1% · Helmond Sport 21.1%
    • Bookmaker · Pinnacle
  3. Aug 14, 2026 · 18:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Roda 1.70 · Draw 4.10 · Helmond Sport 4.50
    • Implied 1X2 · Roda 55.8% · Draw 23.1% · Helmond Sport 21.1%
    • Bookmaker · Pinnacle
  4. Aug 14, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Roda 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 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 60/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 08, 2026 · 02:12 UTC Snapshot ID: dp-3235013

Closing Odds 1.7
AI Fair Odds —
CLV Pending
Final Result Roda win · Roda 2–1 Helmond Sport
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

Quick read on how the model reads this matchup.

  • League: Eerste Divisie
  • Fixture: Roda vs Helmond Sport
  • Kickoff: 2026-08-14 18:00:00
  • 1X2 (model): Home 47.9% · Draw 26.3% · Away 25.8%
  • xG (showing): Roda 1.68 — Helmond Sport 1.25 (total xG ≈ 2.93)
  • 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 Over 2.5 (Under 2.5 43.9% · Over 2.5 56.1%); BTTS Yes (Yes 59.5% · No 40.5%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 59.5% · No 40.5%
  • Correct score (top bin): 1-1 (11.2%)

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.

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

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