Predictions / Football / Russia. Cup / Ilpar vs Metallurg Asha

Prediction Audit: Ilpar vs Metallurg Asha Prediction, Odds & AI Betting Tips

Jul 29, 2026 - 14:00
1 1.29
0 1.31
xG Accuracy: 64%

The model missed the final outcome (Ilpar win 1–0).

The model had projected Metallurg Asha at 35.7%, 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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Metallurg Asha Ilpar ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw +2.3 pp

Outcome Model Closing Market Difference Signal
Ilpar 34.9% 36.4% -1.6 pp Aligned
Draw 29.4% 27.1% +2.3 pp Aligned
Metallurg Asha 35.7% 36.4% -0.7 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Ilpar win 1–0.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

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
  • 1X2: model leaned Metallurg Asha; match finished Ilpar

Market lesson

The full-time result was Ilpar win 1–0, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Jul 29, 2026 · 19:20 UTC Forecast generated
    • Model 1X2 · Ilpar 34.9% · Draw 29.4% · Metallurg Asha 35.7%
    • xG · Ilpar 1.29 — Metallurg Asha 1.31
  2. Jul 29, 2026 · 13:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Ilpar 2.47 · Draw 3.32 · Metallurg Asha 2.47
    • Implied 1X2 · Ilpar 36.4% · Draw 27.1% · Metallurg Asha 36.4%
    • Bookmaker · Marathonbet
  3. Jul 29, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Ilpar 2.47 · Draw 3.32 · Metallurg Asha 2.47
    • Implied 1X2 · Ilpar 36.4% · Draw 27.1% · Metallurg Asha 36.4%
    • Bookmaker · Marathonbet
  4. Jul 29, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Ilpar win · 1–0
  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 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 30/100
Monitoring Confidence 35/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:03 UTC Snapshot ID: dp-1455282

Closing Odds 3.32
AI Fair Odds —
CLV Pending
Final Result Ilpar win · Ilpar 1–0 Metallurg Asha
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

Pre-match snapshot for this fixture.

  • League: Cup
  • Fixture: Ilpar vs Metallurg Asha
  • Kickoff: 2026-07-29 14:00:00
  • 1X2 (model): Home 33.0% · Draw 33.0% · Away 33.0%
  • xG (showing): Ilpar 1.29 — Metallurg Asha 1.31 (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.

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 29, 2026 (UTC)

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