Predictions / Football / Russia. Second League A - Division A Gold / Kaluga vs Dinamo Kirov

Prediction Audit: Kaluga vs Dinamo Kirov Prediction, Odds & AI Betting Tips

Kaluga Kaluga
Sep 27, 2026 - 11:00
1 1.36
2 1.24
xG Accuracy: 74%
Dinamo Kirov Dinamo Kirov

The model missed the final outcome (Dinamo Kirov win 1–2).

The model had projected Kaluga at 38.0%, 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 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Kaluga Dinamo Kirov ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Dinamo Kirov higher than the statistical model.

Largest probability gap: Dinamo Kirov -18.9 pp

Outcome Model Closing Market Difference Signal
Kaluga 38.0% 19.4% +18.6 pp Model Edge
Draw 29.6% 29.3% +0.2 pp Aligned
Dinamo Kirov 32.4% 51.3% -18.9 pp Market Higher

The closing market estimates Dinamo Kirov's win probability at 51.3%, compared with the model's estimate of 32.4%, a difference of 18.9 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 Dinamo Kirov win 1–2.

Market Assessment

The market is materially more optimistic about Dinamo Kirov 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Kaluga; match finished Dinamo Kirov

Market lesson

The closing market differed from the model on Kaluga by 18.9 percentage points (56.9% vs model 38.0%) — 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 27, 2026 · 11:02 UTC Forecast generated
    • Model 1X2 · Kaluga 38.0% · Draw 29.6% · Dinamo Kirov 32.4%
    • xG · Kaluga 1.36 — Dinamo Kirov 1.24
  2. Sep 27, 2026 · 10:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Kaluga 4.60 · Draw 3.04 · Dinamo Kirov 1.74
    • Implied 1X2 · Kaluga 19.4% · Draw 29.3% · Dinamo Kirov 51.3%
    • Bookmaker · Marathonbet
  3. Sep 27, 2026 · 11:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Kaluga 4.60 · Draw 3.04 · Dinamo Kirov 1.74
    • Implied 1X2 · Kaluga 19.4% · Draw 29.3% · Dinamo Kirov 51.3%
    • Bookmaker · Marathonbet
  4. Sep 27, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Dinamo Kirov win · 1–2
  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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (19 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 1/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:07 UTC Snapshot ID: dp-10085475

Closing Odds 1.74
AI Fair Odds —
CLV Pending
Final Result Dinamo Kirov win · Kaluga 1–2 Dinamo Kirov
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

Quick read on how the model reads this matchup.

  • League: Second League A - Division A Gold
  • Fixture: Kaluga vs Dinamo Kirov
  • Kickoff: 2026-09-27 11:00:00
  • 1X2 (model): Home 38.0% · Draw 29.6% · Away 32.4%
  • xG (showing): Kaluga 1.36 — Dinamo Kirov 1.24 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.4% · Implied: 38.2% · Probability edge: +16.2 pts · Est. EV: +30.0%
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

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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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
Second League A - Division A Gold Russia. Second League A - Division A Gold Predictions