Predictions / Football / Russia. Cup / Kristall MEZ vs Salyut-Belgorod

Prediction Audit: Kristall MEZ vs Salyut-Belgorod Prediction, Odds & AI Betting Tips

Kristall MEZ Kristall MEZ
Jul 28, 2026 - 16:00
3 1.27
0 1.33
xG Accuracy: 43%
Salyut-Belgorod Salyut-Belgorod

The model missed the final outcome (Kristall MEZ win 3–0).

The model had projected Salyut-Belgorod at 36.6%, 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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Salyut-Belgorod Kristall MEZ ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Salyut-Belgorod higher than the statistical model.

Largest probability gap: Salyut-Belgorod -22.2 pp

Outcome Model Closing Market Difference Signal
Kristall MEZ 33.8% 20.2% +13.5 pp Model Edge
Draw 29.6% 20.9% +8.7 pp Model Higher
Salyut-Belgorod 36.6% 58.8% -22.2 pp Market Higher

The closing market estimates Salyut-Belgorod's win probability at 58.8%, compared with the model's estimate of 36.6%, a difference of 22.2 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 Kristall MEZ win 3–0.

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

The closing market differed from the model on Salyut-Belgorod by 22.2 percentage points (58.9% vs model 36.6%) — 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 28, 2026 · 19:16 UTC Forecast generated
    • Model 1X2 · Kristall MEZ 33.8% · Draw 29.6% · Salyut-Belgorod 36.6%
    • xG · Kristall MEZ 1.27 — Salyut-Belgorod 1.33
  2. Jul 28, 2026 · 15:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Kristall MEZ 4.45 · Draw 4.30 · Salyut-Belgorod 1.53
    • Implied 1X2 · Kristall MEZ 20.2% · Draw 20.9% · Salyut-Belgorod 58.8%
    • Bookmaker · Marathonbet
  3. Jul 28, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Kristall MEZ 4.45 · Draw 4.30 · Salyut-Belgorod 1.53
    • Implied 1X2 · Kristall MEZ 20.2% · Draw 20.9% · Salyut-Belgorod 58.8%
    • Bookmaker · Marathonbet
  4. Jul 28, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Kristall MEZ win · 3–0
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
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: Jul 23, 2026 · 13:53 UTC Snapshot ID: dp-1452573

Closing Odds 1.53
AI Fair Odds —
CLV Pending
Final Result Kristall MEZ win · Kristall MEZ 3–0 Salyut-Belgorod
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: Kristall MEZ vs Salyut-Belgorod
  • Kickoff: 2026-07-28 16:00:00
  • 1X2 (model): Home 33.0% · Draw 33.0% · Away 33.0%
  • xG (showing): Kristall MEZ 1.27 — Salyut-Belgorod 1.33 (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: 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 29, 2026 (UTC)

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