Prediction Audit: Sevastopol vs Kyzyltash Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 13:00
2 1.47
1 1.13
xG Accuracy: 83%

AI correctly predicted the Sevastopol win.

The match finished 2–1, 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Sevastopol Sevastopol ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Sevastopol higher than the statistical model.

Largest probability gap: Sevastopol -23.7 pp

Outcome Model Closing Market Difference Signal
Sevastopol 43.4% 67.0% -23.7 pp Market Higher
Draw 29.1% 21.1% +8.0 pp Model Higher
Kyzyltash 27.5% 11.8% +15.7 pp Model Edge

The closing market estimates Sevastopol's win probability at 67.0%, compared with the model's estimate of 43.4%, a difference of 23.7 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 2–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sevastopol higher (67.1% vs model 43.4%, 23.7 pp), but the model's lean was validated (Sevastopol win 2–1).

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Prediction Timeline

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

  1. Sep 05, 2026 · 13:01 UTC Forecast generated
    • Model 1X2 · Sevastopol 43.3% · Draw 29.2% · Kyzyltash 27.5%
    • xG · Sevastopol 1.47 — Kyzyltash 1.13
  2. Sep 05, 2026 · 12:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sevastopol 1.34 · Draw 4.25 · Kyzyltash 7.60
    • Implied 1X2 · Sevastopol 67.0% · Draw 21.1% · Kyzyltash 11.8%
    • Bookmaker · Marathonbet
  3. Sep 05, 2026 · 13:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sevastopol 1.34 · Draw 4.25 · Kyzyltash 7.60
    • Implied 1X2 · Sevastopol 67.0% · Draw 21.1% · Kyzyltash 11.8%
    • Bookmaker · Marathonbet
  4. Sep 05, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Sevastopol win · 2–1
  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: 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 30, 2026 · 02:01 UTC Snapshot ID: dp-6137884

Closing Odds 1.34
AI Fair Odds —
CLV Pending
Final Result Sevastopol win · Sevastopol 2–1 Kyzyltash
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

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

  • League: Second League - Group 1
  • Fixture: Sevastopol vs Kyzyltash
  • Kickoff: 2026-09-05 13:00:00
  • 1X2 (model): Home 43.3% · Draw 29.2% · Away 27.5%
  • xG (showing): Sevastopol 1.47 — Kyzyltash 1.13 (total xG ≈ 2.6)
  • 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 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.7% · No 46.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.7% · No 46.3%
  • Correct score (top bin): 1-1 (12.3%)

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

September 29, 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