Predictions / Football / Scotland. Challenge Cup / Banks O' Dee vs Peterhead

Prediction Audit: Banks O' Dee vs Peterhead Prediction, Odds & AI Betting Tips

Banks O' Dee Banks O' Dee
Aug 11, 2026 - 18:45
1 1.37
5 1.23
xG Accuracy: 32%
Peterhead Peterhead

The model missed the final outcome (Peterhead win 1–5).

The model had projected Banks O' Dee at 38.5%, 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 Under 2.5 Over 2.5 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Banks O' Dee Peterhead ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-5 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Peterhead higher than the statistical model.

Largest probability gap: Peterhead -26.0 pp

Outcome Model Closing Market Difference Signal
Banks O' Dee 38.5% 21.5% +17.0 pp Model Edge
Draw 29.6% 20.5% +9.1 pp Model Higher
Peterhead 31.9% 58.0% -26.0 pp Market Higher

The closing market estimates Peterhead's win probability at 58.0%, compared with the model's estimate of 31.9%, a difference of 26.0 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 result was Peterhead win 1–5.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • 1X2: model leaned Banks O' Dee; match finished Peterhead

Market lesson

The closing market differed from the model on Banks O' Dee by 26.0 percentage points (64.5% vs model 38.5%) — 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 11, 2026 · 18:44 UTC Forecast generated
    • Model 1X2 · Banks O' Dee 38.5% · Draw 29.6% · Peterhead 31.9%
    • xG · Banks O' Dee 1.37 — Peterhead 1.23
  2. Aug 11, 2026 · 18:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Banks O' Dee 4.20 · Draw 4.41 · Peterhead 1.56
    • Implied 1X2 · Banks O' Dee 21.5% · Draw 20.5% · Peterhead 58.0%
    • Bookmaker · Pinnacle
  3. Aug 11, 2026 · 18:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Banks O' Dee 4.20 · Draw 4.41 · Peterhead 1.56
    • Implied 1X2 · Banks O' Dee 21.5% · Draw 20.5% · Peterhead 58.0%
    • Bookmaker · Pinnacle
  4. Aug 11, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result Peterhead win · 1–5
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 50/100 · Moderate
  • Validation: Warning
  • Large market gap (26 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 02:23 UTC Snapshot ID: dp-3019563

Closing Odds 1.56
AI Fair Odds —
CLV Pending
Final Result Peterhead win · Banks O' Dee 1–5 Peterhead
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: Challenge Cup
  • Fixture: Banks O' Dee vs Peterhead
  • Kickoff: 2026-08-11 18:45:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Banks O' Dee 1.37 — Peterhead 1.23 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.0%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • 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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Wait

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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