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

May 27, 2026 - 14:00
1 1.45
2 1.25
xG Accuracy: 72%

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

The model had projected Rodina Moskva II at 41.8%, 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 No Yes ✖ Incorrect
  • 1X2 Rodina Moskva II Kaluga ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 1-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Draw higher than the statistical model.

Largest probability gap: Draw -6.8 pp

Outcome Model Closing Market Difference Signal
Rodina Moskva II 41.8% 41.0% +0.8 pp Aligned
Draw 25.7% 32.4% -6.8 pp Market Higher
Kaluga 32.6% 26.6% +6.0 pp Model Higher

The closing market estimates Draw's win probability at 32.4%, compared with the model's estimate of 25.7%, a difference of 6.8 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 Kaluga win 1–2.

Market Assessment

The market and model broadly agree on Draw. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.70) — 3 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 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 Rodina Moskva II by 6.8 percentage points (48.5% vs model 41.8%) — 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. May 27, 2026 · 18:13 UTC Forecast generated
    • Model 1X2 · Rodina Moskva II 41.8% · Draw 25.7% · Kaluga 32.6%
    • xG · Rodina Moskva II 1.45 — Kaluga 1.25
  2. May 27, 2026 · 09:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Rodina Moskva II 2.19 · Draw 2.77 · Kaluga 3.38
    • Implied 1X2 · Rodina Moskva II 41.0% · Draw 32.4% · Kaluga 26.6%
    • Bookmaker · Marathonbet
  3. May 27, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Rodina Moskva II 2.19 · Draw 2.77 · Kaluga 3.38
    • Implied 1X2 · Rodina Moskva II 41.0% · Draw 32.4% · Kaluga 26.6%
    • Bookmaker · Marathonbet
  4. May 27, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Kaluga 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: Observe
Historical Decision No Primary Bet
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) 66/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 09:29 UTC Snapshot ID: dp-1850142

Closing Odds 2.77
AI Fair Odds —
CLV Pending
Final Result Kaluga win · Rodina Moskva II 1–2 Kaluga
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: Rodina Moskva II vs Kaluga
  • Kickoff: 2026-05-27 10:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Rodina Moskva II 1.45 — Kaluga 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 59.2% · Implied: 48.1% · Probability edge: +11.0 pts · Est. EV: +13.1%
  • BTTS (model): Yes 40.8% · No 59.2%
  • Correct score (top bin): 1-1 (13.3%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

Historical Recommendation

Historical Decision: No Primary Bet

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

October 02, 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 Veles 18 9 6 3 33
2 Volgar Astrakhan 18 9 5 4 32
3 Tekstilshchik 18 8 6 4 30
4 Mashuk-KMV 18 8 6 4 30
5 Novosibirsk 18 7 3 8 24
6 Leningradets 18 7 3 8 24
7 Tyumen 18 6 5 7 23
8 Dinamo Kirov 18 5 5 8 20
9 Alaniya Vladikavkaz 18 5 2 11 17
10 Dinamo Moskva II 18 1 9 8 12
# TEAM MP GS GC +/- PTS
1 Tyumen 18 31 26 +5 23
2 Veles 18 26 12 +14 33
3 Novosibirsk 18 26 18 +8 24
4 Tekstilshchik 18 24 16 +8 30
5 Leningradets 18 22 25 -3 24
6 Mashuk-KMV 18 20 17 +3 30
7 Dinamo Kirov 18 20 24 -4 20
8 Alaniya Vladikavkaz 18 19 30 -11 17
9 Volgar Astrakhan 18 18 11 +7 32
10 Dinamo Moskva II 18 9 36 -27 12