Predictions / Football / Denmark. 1. Division / FC Fredericia vs Esbjerg

Prediction Audit: FC Fredericia vs Esbjerg Prediction, Odds & AI Betting Tips

FC Fredericia FC Fredericia
Sep 05, 2026 - 12:00
1 1.47
0 1.13
xG Accuracy: 64%
Esbjerg Esbjerg

AI correctly predicted the FC Fredericia win.

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

Tracked markets vs full-time result

Prediction grade B-

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 FC Fredericia FC Fredericia ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices FC Fredericia higher than the statistical model.

Largest probability gap: FC Fredericia -21.7 pp

Outcome Model Closing Market Difference Signal
FC Fredericia 43.4% 65.0% -21.7 pp Market Higher
Draw 29.1% 17.0% +12.2 pp Model Edge
Esbjerg 27.5% 18.0% +9.5 pp Model Higher

The closing market estimates FC Fredericia's win probability at 65.0%, compared with the model's estimate of 43.4%, a difference of 21.7 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: PRE5.

After full time, the model's directional lean matched the result (FC Fredericia win 1–0).

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • 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

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced FC Fredericia higher (65.1% vs model 43.4%, 21.7 pp), but the model's lean was validated (FC Fredericia win 1–0).

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Prediction Timeline

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

  1. Sep 05, 2026 · 11:57 UTC Forecast generated
    • Model 1X2 · FC Fredericia 43.3% · Draw 29.2% · Esbjerg 27.5%
    • xG · FC Fredericia 1.47 — Esbjerg 1.13
  2. Sep 05, 2026 · 11:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC Fredericia 1.46 · Draw 5.59 · Esbjerg 5.27
    • Implied 1X2 · FC Fredericia 65.0% · Draw 17.0% · Esbjerg 18.0%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 11:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · FC Fredericia 1.46 · Draw 5.59 · Esbjerg 5.27
    • Implied 1X2 · FC Fredericia 65.0% · Draw 17.0% · Esbjerg 18.0%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result FC Fredericia 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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:37 UTC Snapshot ID: dp-6131973

Closing Odds 1.46
AI Fair Odds —
CLV Pending
Final Result FC Fredericia win · FC Fredericia 1–0 Esbjerg
Prediction ✔ Correct
Decision Grade B-

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: 1. Division
  • Fixture: FC Fredericia vs Esbjerg
  • Kickoff: 2026-09-05 12:00:00
  • 1X2 (model): Home 43.3% · Draw 29.2% · Away 27.5%
  • xG (showing): FC Fredericia 1.47 — Esbjerg 1.13 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.7% · No 46.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.7% · No 46.3%
  • Correct score (top bin): 1-1 (12.3%)

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: Wait

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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1. Division 1. Division — Standings
# TEAM MP W D L PTS
1 Hvidovre 9 6 3 0 21
2 Vejle 9 5 4 0 19
3 FC Fredericia 9 3 5 1 14
4 Aarhus Fremad 9 3 4 2 13
5 Aalborg 9 3 4 2 13
6 Hobro 9 4 1 4 13
7 Vendsyssel FF 9 2 4 3 10
8 AB Copenhagen 9 2 3 4 9
9 Hillerød 9 2 3 4 9
10 Kolding IF 9 1 5 3 8
11 HB Koge 9 1 4 4 7
12 Esbjerg 9 1 2 6 5
# TEAM MP GS GC +/- PTS
1 Vejle 9 22 13 +9 19
2 Hvidovre 9 18 9 +9 21
3 Hillerød 9 13 14 -1 9
4 FC Fredericia 9 12 6 +6 14
5 Hobro 9 12 16 -4 13
6 AB Copenhagen 9 11 10 +1 9
7 Aalborg 9 11 11 0 13
8 HB Koge 9 11 17 -6 7
9 Aarhus Fremad 9 10 9 +1 13
10 Kolding IF 9 10 12 -2 8
11 Vendsyssel FF 9 10 14 -4 10
12 Esbjerg 9 10 19 -9 5