Prediction Audit: Emmen vs FC OSS Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 18:00
1 1.99
0 1.49
xG Accuracy: 51%

AI correctly predicted the Emmen win.

The match finished 1–0, validating the model's directional assessment.

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 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Emmen Emmen ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Emmen higher than the statistical model.

Largest probability gap: Emmen -10.6 pp

Outcome Model Closing Market Difference Signal
Emmen 48.2% 58.7% -10.6 pp Market Higher
Draw 24.1% 22.0% +2.0 pp Aligned
FC OSS 27.8% 19.2% +8.6 pp Model Higher

The closing market estimates Emmen's win probability at 58.7%, compared with the model's estimate of 48.2%, a difference of 10.6 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 model's directional lean matched the result (Emmen win 1–0).

Market Assessment

The market is materially more optimistic about Emmen 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

  • Emmen attacking xG significantly stronger (1.99 vs 1.49)
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Emmen higher (58.8% vs model 48.2%, 10.6 pp), but the model's lean was validated (Emmen win 1–0).

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Prediction Timeline

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

  1. Sep 26, 2026 · 18:00 UTC Forecast generated
    • Model 1X2 · Emmen 48.1% · Draw 24.1% · FC OSS 27.8%
    • xG · Emmen 1.99 — FC OSS 1.49
  2. Sep 26, 2026 · 17:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Emmen 1.61 · Draw 4.29 · FC OSS 4.92
    • Implied 1X2 · Emmen 58.7% · Draw 22.0% · FC OSS 19.2%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 18:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Emmen 1.61 · Draw 4.29 · FC OSS 4.92
    • Implied 1X2 · Emmen 58.7% · Draw 22.0% · FC OSS 19.2%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Emmen win · 1–0
  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 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) 47/100
Betting Confidence 46/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:51 UTC Snapshot ID: dp-10117120

Closing Odds 1.61
AI Fair Odds —
CLV Pending
Final Result Emmen win · Emmen 1–0 FC OSS
Prediction ✔ Correct
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: Emmen vs FC OSS
  • Kickoff: 2026-09-26 18:00:00
  • 1X2 (model): Home 48.1% · Draw 24.1% · Away 27.8%
  • xG (showing): Emmen 1.99 — FC OSS 1.49 (total xG ≈ 3.48)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 68.1% · Implied: 60.4% · Probability edge: +7.7 pts · Est. EV: +6.9%
  • BTTS (model): Yes 68.1% · No 31.9%
  • Correct score (top bin): 1-1 (9.1%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

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

September 29, 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