Prediction Audit: Volgar Astrakhan vs Kaluga Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 15:00
1 1.33
1 1.27
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Volgar Astrakhan at 36.6%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 Yes ✔ Correct
  • 1X2 Volgar Astrakhan Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Volgar Astrakhan higher than the statistical model.

Largest probability gap: Volgar Astrakhan -13.6 pp

Outcome Model Closing Market Difference Signal
Volgar Astrakhan 36.6% 50.2% -13.6 pp Market Higher
Draw 29.6% 26.8% +2.9 pp Aligned
Kaluga 33.8% 23.0% +10.7 pp Model Edge

The closing market estimates Volgar Astrakhan's win probability at 50.2%, compared with the model's estimate of 36.6%, a difference of 13.6 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: PRE5.

After full time, the result was Draw 1–1.

Market Assessment

The market is materially more optimistic about Volgar Astrakhan 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

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Volgar Astrakhan; match finished Draw

Market lesson

The closing market differed from the model on Volgar Astrakhan by 13.6 percentage points (50.2% 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. Sep 05, 2026 · 14:57 UTC Forecast generated
    • Model 1X2 · Volgar Astrakhan 36.6% · Draw 29.6% · Kaluga 33.8%
    • xG · Volgar Astrakhan 1.33 — Kaluga 1.27
  2. Sep 05, 2026 · 14:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Volgar Astrakhan 1.79 · Draw 3.36 · Kaluga 3.90
    • Implied 1X2 · Volgar Astrakhan 50.2% · Draw 26.8% · Kaluga 23.0%
    • Bookmaker · Marathonbet
  3. Sep 05, 2026 · 14:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Volgar Astrakhan 1.79 · Draw 3.36 · Kaluga 3.90
    • Implied 1X2 · Volgar Astrakhan 50.2% · Draw 26.8% · Kaluga 23.0%
    • Bookmaker · Marathonbet
  4. Sep 05, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Aug 30, 2026 · 03:28 UTC Snapshot ID: dp-6158016

Closing Odds 1.79
AI Fair Odds —
CLV Pending
Final Result Draw · Volgar Astrakhan 1–1 Kaluga
Prediction ✖ Missed
Decision Grade C

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: Second League A - Division A Gold
  • Fixture: Volgar Astrakhan vs Kaluga
  • Kickoff: 2026-09-05 15:00:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Volgar Astrakhan 1.33 — Kaluga 1.27 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.4%, 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • 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.

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 28, 2026 (UTC)

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Second League A - Division A Gold Second League A - Division A Gold — Standings
# TEAM MP W D L PTS
1 Dinamo Kirov 11 7 2 2 23
2 Rodina Moskva II 11 7 2 2 23
3 Dinamo Bryansk 11 4 4 3 16
4 Novosibirsk 11 4 3 4 15
5 Dinamo Vladivostok 11 3 4 4 13
6 Mashuk-KMV 11 2 7 2 13
7 Alaniya Vladikavkaz 11 2 6 3 12
8 Volgar Astrakhan 11 1 8 2 11
9 FK Sokol Saratov 11 1 6 4 9
10 Kaluga 11 0 6 5 6
# TEAM MP GS GC +/- PTS
1 Rodina Moskva II 11 20 10 +10 23
2 Novosibirsk 11 15 14 +1 15
3 Alaniya Vladikavkaz 11 14 12 +2 12
4 Dinamo Kirov 11 13 8 +5 23
5 Volgar Astrakhan 11 12 13 -1 11
6 Dinamo Bryansk 11 11 13 -2 16
7 FK Sokol Saratov 11 10 17 -7 9
8 Mashuk-KMV 11 8 8 0 13
9 Dinamo Vladivostok 11 8 9 -1 13
10 Kaluga 11 6 13 -7 6