Prediction Audit: Novosibirsk vs Irtysh Omsk Prediction, Odds & AI Betting Tips

May 23, 2026 - 09:00
4 1.45
0 1.25
xG Accuracy: 35%

AI correctly predicted the Novosibirsk win.

The match finished 4–0, 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 No No ✔ Correct
  • 1X2 Novosibirsk Novosibirsk ✔ Correct
  • Correct Score Insights 1-0, 1-1, 2-0, 2-1, 0-0 4-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Novosibirsk higher than the statistical model.

Largest probability gap: Novosibirsk -23.8 pp

Outcome Model Closing Market Difference Signal
Novosibirsk 41.8% 65.6% -23.8 pp Market Higher
Draw 25.7% 22.9% +2.8 pp Aligned
Irtysh Omsk 32.6% 11.5% +21.1 pp Model Edge

The closing market estimates Novosibirsk's win probability at 65.6%, compared with the model's estimate of 41.8%, a difference of 23.8 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 model's directional lean matched the result (Novosibirsk win 4–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.70) — 4 goals materialised
  • Both Teams To Score (No) 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 Novosibirsk higher (65.6% vs model 41.8%, 23.8 pp), but the model's lean was validated (Novosibirsk win 4–0).

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Prediction Timeline

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

  1. May 23, 2026 · 18:20 UTC Forecast generated
    • Model 1X2 · Novosibirsk 41.8% · Draw 25.7% · Irtysh Omsk 32.6%
    • xG · Novosibirsk 1.45 — Irtysh Omsk 1.25
  2. May 23, 2026 · 09:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Novosibirsk 1.37 · Draw 3.92 · Irtysh Omsk 7.80
    • Implied 1X2 · Novosibirsk 65.6% · Draw 22.9% · Irtysh Omsk 11.5%
    • Bookmaker · Marathonbet
  3. May 23, 2026 · 09:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Novosibirsk 1.37 · Draw 3.92 · Irtysh Omsk 7.80
    • Implied 1X2 · Novosibirsk 65.6% · Draw 22.9% · Irtysh Omsk 11.5%
    • Bookmaker · Marathonbet
  4. May 23, 2026 · 09:00 UTC Kickoff
  5. FT Full-time result Novosibirsk win · 4–0
  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 51/100 · Moderate
  • Validation: Warning
  • Large market gap (24 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 02:22 UTC Snapshot ID: dp-3019514

Closing Odds 1.37
AI Fair Odds —
CLV Pending
Final Result Novosibirsk win · Novosibirsk 4–0 Irtysh Omsk
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

Pre-match snapshot for this fixture.

  • League: Second League A - Division A Gold
  • Fixture: Novosibirsk vs Irtysh Omsk
  • Kickoff: 2026-05-23 10:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Novosibirsk 1.45 — Irtysh Omsk 1.25 (total xG ≈ 2.7)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 54.4% · Over 2.5 45.6%); BTTS No (Yes 45.7% · No 54.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 45.7% · No 54.3%
  • Correct score (top bin): 1-0 (12.7%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 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