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

May 17, 2026 - 14:00
1 1.45
1 1.25
xG Accuracy: 82%

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

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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Rodina Moskva II Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 0-0 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The model rates Rodina Moskva II considerably stronger than the closing betting market.

Largest probability gap: Rodina Moskva II +11.0 pp

Outcome Model Closing Market Difference Signal
Rodina Moskva II 41.8% 30.8% +11.0 pp Model Edge
Draw 25.7% 32.0% -6.3 pp Market Higher
Novosibirsk 32.6% 37.3% -4.7 pp Aligned

The statistical model estimates Rodina Moskva II's win probability at 41.8%, compared with the closing market's implied probability of 30.8%, a difference of 11.0 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 1–1.

Market Assessment

The statistical fair estimate is materially higher than the market on Rodina Moskva II.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

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

Market lesson

The closing market differed from the model on Rodina Moskva II by 11.0 percentage points (30.8% 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 17, 2026 · 09:59 UTC Forecast generated
    • Model 1X2 · Rodina Moskva II 41.8% · Draw 25.7% · Novosibirsk 32.6%
    • xG · Rodina Moskva II 1.45 — Novosibirsk 1.25
  2. May 17, 2026 · 09:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Rodina Moskva II 2.92 · Draw 2.81 · Novosibirsk 2.41
    • Implied 1X2 · Rodina Moskva II 30.8% · Draw 32.0% · Novosibirsk 37.3%
    • Bookmaker · Marathonbet
  3. May 17, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Rodina Moskva II 2.92 · Draw 2.81 · Novosibirsk 2.41
    • Implied 1X2 · Rodina Moskva II 30.8% · Draw 32.0% · Novosibirsk 37.3%
    • Bookmaker · Marathonbet
  4. May 17, 2026 · 14:00 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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 15/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 23:06 UTC Snapshot ID: dp-1517696

Closing Odds 2.92
AI Fair Odds —
CLV Pending
Final Result Draw · Rodina Moskva II 1–1 Novosibirsk
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Second League A - Division A Gold
  • Fixture: Rodina Moskva II vs Novosibirsk
  • Kickoff: 2026-05-17 10:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Rodina Moskva II 1.45 — Novosibirsk 1.25 (total xG ≈ 2.7)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS No
  • Model: 51.1% · Implied: 45.6% · Probability edge: +5.5 pts · Est. EV: +3.2%
  • BTTS (model): Yes 48.9% · No 51.1%
  • Correct score (top bin): 1-1 (12.8%)

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: 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

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