Prediction Audit: Jong PSV vs Jong Ajax Prediction, Odds & AI Betting Tips

Aug 31, 2026 - 18:00
1 1.89
1 1.30
xG Accuracy: 72%

The model missed the final outcome (Draw 1–1).

The model had projected Jong PSV at 49.9%, 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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Jong PSV Draw ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Jong PSV higher than the statistical model.

Largest probability gap: Jong PSV -10.9 pp

Outcome Model Closing Market Difference Signal
Jong PSV 49.9% 60.8% -10.9 pp Market Higher
Draw 25.1% 19.8% +5.3 pp Model Higher
Jong Ajax 25.0% 19.4% +5.6 pp Model Higher

The closing market estimates Jong PSV's win probability at 60.8%, compared with the model's estimate of 49.9%, a difference of 10.9 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 Draw 1–1.

Market Assessment

The market is materially more optimistic about Jong PSV 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

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Jong PSV; match finished Draw

Market lesson

The closing market differed from the model on Jong PSV by 10.9 percentage points (60.8% vs model 49.9%) — 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. Aug 31, 2026 · 17:59 UTC Forecast generated
    • Model 1X2 · Jong PSV 50.0% · Draw 25.1% · Jong Ajax 25.0%
    • xG · Jong PSV 1.89 — Jong Ajax 1.30
  2. Aug 31, 2026 · 17:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Jong PSV 1.56 · Draw 4.80 · Jong Ajax 4.88
    • Implied 1X2 · Jong PSV 60.8% · Draw 19.8% · Jong Ajax 19.4%
    • Bookmaker · Pinnacle
  3. Aug 31, 2026 · 17:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Jong PSV 1.56 · Draw 4.80 · Jong Ajax 4.88
    • Implied 1X2 · Jong PSV 60.8% · Draw 19.8% · Jong Ajax 19.4%
    • Bookmaker · Pinnacle
  4. Aug 31, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 58/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 45/100
Betting Confidence 46/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 25, 2026 · 03:27 UTC Snapshot ID: dp-5404626

Closing Odds 1.56
AI Fair Odds —
CLV Pending
Final Result Draw · Jong PSV 1–1 Jong Ajax
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: Eerste Divisie
  • Fixture: Jong PSV vs Jong Ajax
  • Kickoff: 2026-08-31 18:00:00
  • 1X2 (model): Home 50.0% · Draw 25.1% · Away 25.0%
  • xG (showing): Jong PSV 1.89 — Jong Ajax 1.3 (total xG ≈ 3.19)
  • 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 38.2% · Over 2.5 61.8%); BTTS Yes (Yes 63.1% · No 36.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 63.1% · No 36.9%
  • Correct score (top bin): 1-1 (10.1%)

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.

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: 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 28, 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 7 2 1 4 7
17 Dordrecht 8 2 1 5 7
18 Jong Utrecht 9 2 1 6 7
19 FC OSS 8 2 0 6 6
20 De Graafschap 7 1 1 5 4
# 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 7 12 16 -4 7
17 Dordrecht 8 12 23 -11 7
18 Roda 8 9 5 +4 15
19 FC OSS 8 8 13 -5 6
20 De Graafschap 7 8 20 -12 4
# 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 7 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 7 5.4 7.6 -2.2 4
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