Predictions / Football / Denmark. 3. Division / Hørsholm-Usserød vs Næsby

Prediction Audit: Hørsholm-Usserød vs Næsby Prediction, Odds & AI Betting Tips

Jun 13, 2026 - 12:00
2 1.58
4 1.40
xG Accuracy: 44%

The model missed the final outcome (Næsby win 2–4).

The model had projected Hørsholm-Usserød at 40.4%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (6 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Hørsholm-Usserød Næsby ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-0, 1-2, 0-1 2-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Næsby higher than the statistical model.

Largest probability gap: Næsby -18.1 pp

Outcome Model Closing Market Difference Signal
Hørsholm-Usserød 40.4% 28.3% +12.0 pp Model Edge
Draw 27.2% 21.2% +6.0 pp Model Higher
Næsby 32.4% 50.5% -18.1 pp Market Higher

The closing market estimates Næsby's win probability at 50.5%, compared with the model's estimate of 32.4%, a difference of 18.1 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 Næsby win 2–4.

Market Assessment

The market is materially more optimistic about Næsby 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 2.98) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Hørsholm-Usserød; match finished Næsby
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Hørsholm-Usserød by 18.1 percentage points (58.5% vs model 40.4%) — 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. Jun 13, 2026 · 19:24 UTC Forecast generated
    • Model 1X2 · Hørsholm-Usserød 40.3% · Draw 27.2% · Næsby 32.5%
    • xG · Hørsholm-Usserød 1.58 — Næsby 1.40
  2. Jun 13, 2026 · 11:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Hørsholm-Usserød 3.19 · Draw 4.27 · Næsby 1.79
    • Implied 1X2 · Hørsholm-Usserød 28.3% · Draw 21.2% · Næsby 50.5%
    • Bookmaker · Pinnacle
  3. Jun 13, 2026 · 11:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Hørsholm-Usserød 3.19 · Draw 4.27 · Næsby 1.79
    • Implied 1X2 · Hørsholm-Usserød 28.3% · Draw 21.2% · Næsby 50.5%
    • Bookmaker · Pinnacle
  4. Jun 13, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Næsby win · 2–4
  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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 3/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 17:55 UTC Snapshot ID: dp-3064371

Closing Odds 1.79
AI Fair Odds —
CLV Pending
Final Result Næsby win · Hørsholm-Usserød 2–4 Næsby
Prediction ✖ Missed
Decision Grade C

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: 3. Division
  • Fixture: Hørsholm-Usserød vs Næsby
  • Kickoff: 2026-06-13 12:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Hørsholm-Usserød 1.58 — Næsby 1.4 (total xG ≈ 2.98)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

October 02, 2026 (UTC)

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Back to Predictions
3. Division 3. Division — Standings
# TEAM MP W D L PTS
1 Nykobing FC 22 17 4 1 55
2 FA 2000 22 13 3 6 42
3 Næsby 22 11 3 8 36
4 Holbæk B&I 22 9 5 8 32
5 Brønshøj 22 9 5 8 32
6 Vanløse 22 9 4 9 31
7 Hørsholm-Usserød 22 8 5 9 29
8 Frem 22 8 4 10 28
9 Vejgaard B 22 7 5 10 26
10 Sundby 22 7 3 12 24
11 Odder 22 6 3 13 21
12 Lyseng 22 5 2 15 17
# TEAM MP GS GC +/- PTS
1 Nykobing FC 22 53 17 +36 55
2 Holbæk B&I 22 43 33 +10 32
3 Næsby 22 42 39 +3 36
4 Hørsholm-Usserød 22 38 38 0 29
5 Brønshøj 22 34 38 -4 32
6 FA 2000 22 33 23 +10 42
7 Sundby 22 32 39 -7 24
8 Vanløse 22 30 27 +3 31
9 Vejgaard B 22 30 46 -16 26
10 Odder 22 24 33 -9 21
11 Frem 22 22 24 -2 28
12 Lyseng 22 14 38 -24 17