Predictions / Football / World. Friendlies Clubs / Solihull Moors vs Birmingham

Prediction Audit: Solihull Moors vs Birmingham Prediction, Odds & AI Betting Tips

Solihull Moors Solihull Moors
Jul 15, 2026 - 16:30
0 1.34
3 1.26
xG Accuracy: 43%
Birmingham Birmingham

AI correctly predicted the Birmingham win.

The match finished 0–3, 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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Birmingham Birmingham ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Birmingham higher than the statistical model.

Largest probability gap: Birmingham -25.3 pp

Outcome Model Closing Market Difference Signal
Solihull Moors 29.6% 13.9% +15.6 pp Model Edge
Draw 27.0% 17.3% +9.6 pp Model Higher
Birmingham 43.5% 68.8% -25.3 pp Market Higher

The closing market estimates Birmingham's win probability at 68.8%, compared with the model's estimate of 43.5%, a difference of 25.3 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 (Birmingham win 0–3).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Birmingham higher (68.8% vs model 43.5%, 25.3 pp), but the model's lean was validated (Birmingham win 0–3).

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Prediction Timeline

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

  1. Jul 15, 2026 · 19:29 UTC Forecast generated
    • Model 1X2 · Solihull Moors 29.6% · Draw 26.9% · Birmingham 43.5%
    • xG · Solihull Moors 1.34 — Birmingham 1.26
  2. Jul 15, 2026 · 16:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Solihull Moors 5.67 · Draw 4.86 · Birmingham 1.34
    • Implied 1X2 · Solihull Moors 15.6% · Draw 18.2% · Birmingham 66.1%
    • Bookmaker · Pinnacle
  3. Jul 15, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Solihull Moors 6.47 · Draw 5.20 · Birmingham 1.31
    • Implied 1X2 · Solihull Moors 13.9% · Draw 17.3% · Birmingham 68.8%
    • Bookmaker · Pinnacle
  4. Jul 15, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Birmingham win · 0–3
  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 50/100 · Moderate
  • Validation: Warning
  • Large market gap (25 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 32/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:17 UTC Snapshot ID: dp-1458212

Closing Odds 1.31
AI Fair Odds —
CLV Pending
Final Result Birmingham win · Solihull Moors 0–3 Birmingham
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

Pre-match snapshot for this fixture.

  • League: Club Friendlies
  • Fixture: Solihull Moors vs Birmingham City
  • Kickoff: 2026-07-15 16:30:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Solihull Moors 1.34 — Birmingham City 1.26 (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

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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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