Prediction Audit: Rostov II vs Sevastopol Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 15:00
0 1.16
1 1.44
xG Accuracy: 64%

AI correctly predicted the Sevastopol win.

The match finished 0–1, 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Sevastopol Sevastopol ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Sevastopol higher than the statistical model.

Largest probability gap: Sevastopol -15.3 pp

Outcome Model Closing Market Difference Signal
Rostov II 28.8% 18.6% +10.2 pp Model Edge
Draw 29.3% 24.2% +5.1 pp Model Higher
Sevastopol 41.9% 57.2% -15.3 pp Market Higher

The closing market estimates Sevastopol's win probability at 57.2%, compared with the model's estimate of 41.9%, a difference of 15.3 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 (Sevastopol win 0–1).

Market Assessment

The market is materially more optimistic about Sevastopol than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sevastopol higher (57.2% vs model 41.9%, 15.3 pp), but the model's lean was validated (Sevastopol win 0–1).

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Prediction Timeline

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

  1. Sep 26, 2026 · 14:59 UTC Forecast generated
    • Model 1X2 · Rostov II 28.8% · Draw 29.3% · Sevastopol 41.9%
    • xG · Rostov II 1.16 — Sevastopol 1.44
  2. Sep 26, 2026 · 14:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Rostov II 4.80 · Draw 3.68 · Sevastopol 1.56
    • Implied 1X2 · Rostov II 18.6% · Draw 24.2% · Sevastopol 57.2%
    • Bookmaker · Marathonbet
  3. Sep 26, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Rostov II 4.80 · Draw 3.68 · Sevastopol 1.56
    • Implied 1X2 · Rostov II 18.6% · Draw 24.2% · Sevastopol 57.2%
    • Bookmaker · Marathonbet
  4. Sep 26, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Sevastopol win · 0–1
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 55/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 23/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:23 UTC Snapshot ID: dp-10111221

Closing Odds 1.56
AI Fair Odds —
CLV Pending
Final Result Sevastopol win · Rostov II 0–1 Sevastopol
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

Quick read on how the model reads this matchup.

  • League: Second League - Group 1
  • Fixture: Rostov II vs Sevastopol
  • Kickoff: 2026-09-26 15:00:00
  • 1X2 (model): Home 28.8% · Draw 29.3% · Away 41.9%
  • xG (showing): Rostov II 1.16 — Sevastopol 1.44 (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 54.0% · No 46.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.0% · No 46.0%
  • Correct score (top bin): 1-1 (12.4%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

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

September 30, 2026 (UTC)

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Back to Predictions
Second League - Group 1 Second League - Group 1 — Standings
# TEAM MP W D L PTS
1 Sevastopol 21 16 2 3 50
2 Shahter Taganrog 21 14 4 3 46
3 Rostov II 21 14 4 3 46
4 Rubin Yalta 20 9 7 4 34
5 Pobeda 20 10 3 7 33
6 Kyzyltash 21 9 4 8 31
7 Nart Cherkessk 20 9 3 8 30
8 Spartak Nalchik 20 7 7 6 28
9 Druzhba 20 7 6 7 27
10 Lugansk 21 6 6 9 24
11 Astrakhan 20 5 5 10 20
12 Izberbash 21 6 0 15 18
13 Angust Nazran 20 4 4 12 16
14 FK Chayka 2 21 4 2 15 14
15 Dynamo Makhachkala II 21 3 5 13 14
16 PSK Dinskaya 0 0 0 0 0
# TEAM MP GS GC +/- PTS
1 Rostov II 21 45 16 +29 46
2 Shahter Taganrog 21 42 20 +22 46
3 Sevastopol 21 38 17 +21 50
4 Pobeda 20 38 27 +11 33
5 Kyzyltash 21 36 30 +6 31
6 Rubin Yalta 20 29 19 +10 34
7 Nart Cherkessk 20 27 19 +8 30
8 Spartak Nalchik 20 27 20 +7 28
9 Lugansk 21 24 30 -6 24
10 Druzhba 20 23 25 -2 27
11 Astrakhan 20 22 32 -10 20
12 Dynamo Makhachkala II 21 19 39 -20 14
13 Izberbash 21 19 57 -38 18
14 FK Chayka 2 21 17 43 -26 14
15 Angust Nazran 20 9 21 -12 16
16 PSK Dinskaya 0 0 0 0 0