Prediction Audit: Kaluga vs Rodina Moskva II Prediction, Odds & AI Betting Tips

Aug 08, 2026 - 11:00
0 1.33
0 1.27
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected Kaluga 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 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Kaluga Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Kaluga considerably stronger than the closing betting market.

Largest probability gap: Kaluga +6.5 pp

Outcome Model Closing Market Difference Signal
Kaluga 36.6% 30.1% +6.5 pp Model Higher
Draw 29.6% 29.8% -0.1 pp Aligned
Rodina Moskva II 33.8% 40.1% -6.4 pp Market Higher

The statistical model estimates Kaluga's win probability at 36.6%, compared with the closing market's implied probability of 30.1%, a difference of 6.5 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 Draw 0–0.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Kaluga.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Kaluga; match finished Draw

Market lesson

The closing market differed from the model on Kaluga by 6.5 percentage points (30.1% 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. Aug 08, 2026 · 10:59 UTC Forecast generated
    • Model 1X2 · Kaluga 36.6% · Draw 29.6% · Rodina Moskva II 33.8%
    • xG · Kaluga 1.33 — Rodina Moskva II 1.27
  2. Aug 08, 2026 · 10:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Kaluga 2.99 · Draw 3.02 · Rodina Moskva II 2.24
    • Implied 1X2 · Kaluga 30.1% · Draw 29.8% · Rodina Moskva II 40.1%
    • Bookmaker · Marathonbet
  3. Aug 08, 2026 · 10:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Kaluga 2.99 · Draw 3.02 · Rodina Moskva II 2.24
    • Implied 1X2 · Kaluga 30.1% · Draw 29.8% · Rodina Moskva II 40.1%
    • Bookmaker · Marathonbet
  4. Aug 08, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 23/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 01, 2026 · 01:28 UTC Snapshot ID: dp-2671131

Closing Odds 2.99
AI Fair Odds —
CLV Pending
Final Result Draw · Kaluga 0–0 Rodina Moskva II
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: Second League A - Division A Gold
  • Fixture: Kaluga vs Rodina Moskva II
  • Kickoff: 2026-08-08 11:00:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Kaluga 1.33 — Rodina Moskva II 1.27 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 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