Prediction Audit: Dinamo Kirov vs FK Sokol Saratov Prediction, Odds & AI Betting Tips

Sep 21, 2026 - 13:30
3 1.30
1 1.30
xG Accuracy: 58%

AI correctly predicted the Dinamo Kirov win.

The match finished 3–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Dinamo Kirov Dinamo Kirov ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

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

Largest probability gap: Dinamo Kirov -20.5 pp

Outcome Model Closing Market Difference Signal
Dinamo Kirov 35.2% 55.7% -20.5 pp Market Higher
Draw 29.6% 25.8% +3.9 pp Aligned
FK Sokol Saratov 35.2% 18.6% +16.6 pp Model Edge

The closing market estimates Dinamo Kirov's win probability at 55.7%, compared with the model's estimate of 35.2%, a difference of 20.5 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 (Dinamo Kirov win 3–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Dinamo Kirov higher (55.7% vs model 35.2%, 20.5 pp), but the model's lean was validated (Dinamo Kirov win 3–1).

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Prediction Timeline

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

  1. Sep 21, 2026 · 13:29 UTC Forecast generated
    • Model 1X2 · Dinamo Kirov 35.2% · Draw 29.6% · FK Sokol Saratov 35.2%
    • xG · Dinamo Kirov 1.30 — FK Sokol Saratov 1.30
  2. Sep 21, 2026 · 12:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Dinamo Kirov 1.60 · Draw 3.46 · FK Sokol Saratov 4.80
    • Implied 1X2 · Dinamo Kirov 55.7% · Draw 25.8% · FK Sokol Saratov 18.6%
    • Bookmaker · Marathonbet
  3. Sep 21, 2026 · 13:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Dinamo Kirov 1.60 · Draw 3.46 · FK Sokol Saratov 4.80
    • Implied 1X2 · Dinamo Kirov 55.7% · Draw 25.8% · FK Sokol Saratov 18.6%
    • Bookmaker · Marathonbet
  4. Sep 21, 2026 · 13:30 UTC Kickoff
  5. FT Full-time result Dinamo Kirov win · 3–1
  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 53/100 · Moderate
  • Validation: Warning
  • Large market gap (21 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 15, 2026 · 02:43 UTC Snapshot ID: dp-8838265

Closing Odds 1.6
AI Fair Odds —
CLV Pending
Final Result Dinamo Kirov win · Dinamo Kirov 3–1 FK Sokol Saratov
Prediction ✔ Correct
Decision Grade B-

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: Dinamo Kirov vs FK Sokol Saratov
  • Kickoff: 2026-09-21 13:30:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Dinamo Kirov 1.3 — FK Sokol Saratov 1.3 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.1%, 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 (12.6%)

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: 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

October 01, 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