Predictions / Football / World. Friendlies Clubs / Stockport County vs Bristol City

Prediction Audit: Stockport County vs Bristol City Prediction, Odds & AI Betting Tips

Jul 17, 2026 - 09:00
2 1.20
0 1.40
xG Accuracy: 55%

The model missed the final outcome (Stockport County win 2–0).

The model had projected Bristol City at 39.9%, 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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Bristol City Stockport County ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Bristol City higher than the statistical model.

Largest probability gap: Bristol City -13.7 pp

Outcome Model Closing Market Difference Signal
Stockport County 30.6% 23.9% +6.7 pp Model Higher
Draw 29.5% 22.4% +7.1 pp Model Higher
Bristol City 39.9% 53.7% -13.7 pp Market Higher

The closing market estimates Bristol City's win probability at 53.7%, compared with the model's estimate of 39.9%, a difference of 13.7 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: PRE1.

After full time, the result was Stockport County win 2–0.

Market Assessment

The market is materially more optimistic about Bristol City 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

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Bristol City; match finished Stockport County

Market lesson

The closing market differed from the model on Bristol City by 13.7 percentage points (53.6% vs model 39.9%) — 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. Jul 17, 2026 · 13:14 UTC Forecast generated
    • Model 1X2 · Stockport County 30.6% · Draw 29.5% · Bristol City 40.0%
    • xG · Stockport County 1.20 — Bristol City 1.40
  2. Jul 17, 2026 · 09:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Stockport County 3.75 · Draw 4.00 · Bristol City 1.67
    • Implied 1X2 · Stockport County 23.9% · Draw 22.4% · Bristol City 53.7%
    • Bookmaker · Bet365
  3. Jul 17, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Stockport County 3.75 · Draw 4.00 · Bristol City 1.67
    • Implied 1X2 · Stockport County 23.9% · Draw 22.4% · Bristol City 53.7%
    • Bookmaker · Bet365
  4. Jul 17, 2026 · 09:00 UTC Kickoff
  5. FT Full-time result Stockport County win · 2–0
  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 56/100 · Moderate
  • Validation: Warning
  • Large market gap (14 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 31/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 03:43 UTC Snapshot ID: dp-1545529

Closing Odds 1.67
AI Fair Odds —
CLV Pending
Final Result Stockport County win · Stockport County 2–0 Bristol City
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: Club Friendlies
  • Fixture: Stockport County vs Bristol City
  • Kickoff: 2026-07-17 09:00:00
  • 1X2 (model): Home 33.0% · Draw 33.0% · Away 33.0%
  • xG (showing): Stockport County 1.2 — Bristol City 1.4 (total xG ≈ 2.6)
  • 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

September 30, 2026 (UTC)

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