Predictions / Football / Russia. Second League - Group 2 / Zvezda St. Petersburg vs Murom

Prediction Audit: Zvezda St. Petersburg vs Murom Prediction, Odds & AI Betting Tips

Sep 18, 2026 - 11:00
0 1.29
3 1.31
xG Accuracy: 44%

AI correctly predicted the Murom win.

The match finished 0–3, validating the model's directional assessment.

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 Yes No ✖ Incorrect
  • 1X2 Murom Murom ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Murom higher than the statistical model.

Largest probability gap: Murom -23.1 pp

Outcome Model Closing Market Difference Signal
Zvezda St. Petersburg 34.7% 18.7% +16.0 pp Model Edge
Draw 29.6% 22.6% +7.1 pp Model Higher
Murom 35.6% 58.7% -23.1 pp Market Higher

The closing market estimates Murom's win probability at 58.7%, compared with the model's estimate of 35.6%, a difference of 23.1 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 (Murom win 0–3).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 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 Murom higher (58.7% vs model 35.6%, 23.1 pp), but the model's lean was validated (Murom win 0–3).

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Prediction Timeline

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

  1. Sep 07, 2026 · 10:59 UTC Forecast generated
    • Model 1X2 · Zvezda St. Petersburg 34.7% · Draw 29.7% · Murom 35.6%
    • xG · Zvezda St. Petersburg 1.29 — Murom 1.31
  2. Sep 07, 2026 · 10:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Zvezda St. Petersburg 4.80 · Draw 3.98 · Murom 1.53
    • Implied 1X2 · Zvezda St. Petersburg 18.7% · Draw 22.6% · Murom 58.7%
    • Bookmaker · Marathonbet
  3. Sep 07, 2026 · 10:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Zvezda St. Petersburg 4.80 · Draw 3.98 · Murom 1.53
    • Implied 1X2 · Zvezda St. Petersburg 18.7% · Draw 22.6% · Murom 58.7%
    • Bookmaker · Marathonbet
  4. Sep 18, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Murom win · 0–3
  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 (23 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: Sep 01, 2026 · 02:14 UTC Snapshot ID: dp-6471842

Closing Odds 1.53
AI Fair Odds —
CLV Pending
Final Result Murom win · Zvezda St. Petersburg 0–3 Murom
Prediction ✔ Correct
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 - Group 2
  • Fixture: Zvezda St. Petersburg vs Murom
  • Kickoff: 2026-09-07 11:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Zvezda St. Petersburg 1.29 — Murom 1.31 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.5%, still below the +2.0% minimum for a headline / default stake (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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: 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 30, 2026 (UTC)

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Back to Predictions
Second League - Group 2 Second League - Group 2 — Standings
# TEAM MP W D L PTS
1 Murom 21 14 2 5 44
1 Sevastopol 14 10 2 2 32
2 Dinamo St. Petersburg 20 12 6 2 42
2 Shahter Taganrog 14 9 3 2 30
3 Luki-Energiya 21 12 6 3 42
3 Rostov II 14 9 2 3 29
4 Baltika II 21 12 4 5 40
4 Nart Cherkessk 14 7 3 4 24
5 Chertanovo Moscow 21 11 6 4 39
5 Kyzyltash 14 7 2 5 23
6 Torpedo Vladimir 20 9 5 6 32
6 Spartak Nalchik 14 6 5 3 23
7 Kosmos Dolgoprudny 21 8 4 9 28
7 Druzhba 14 6 4 4 22
8 Tver 21 7 3 11 24
8 Pobeda 14 6 3 5 21
9 Cherepovets 20 7 3 10 24
9 Rubin Yalta 14 5 5 4 20
10 Zvezda St. Petersburg 20 5 9 6 24
10 Lugansk 14 4 3 7 15
11 Dinamo Vologda 20 6 5 9 23
11 Izberbash 14 5 0 9 15
12 Spartak Moscow 2 21 6 5 10 23
12 Angust Nazran 14 4 1 9 13
13 Yenisey II 21 5 4 12 19
13 Astrakhan 14 3 3 8 12
14 Iskra Smolensk 21 3 6 12 15
14 Dynamo Makhachkala II 14 2 3 9 9
15 Irkutsk 21 3 2 16 11
15 FK Chayka 2 14 2 1 11 7
16 PSK Dinskaya 0 0 0 0 0
# TEAM MP GS GC +/- PTS
1 Baltika II 21 42 23 +19 40
2 Chertanovo Moscow 21 39 18 +21 39
3 Luki-Energiya 21 36 18 +18 42
4 Murom 21 35 17 +18 44
5 Dinamo St. Petersburg 20 32 10 +22 42
6 Tver 21 30 36 -6 24
7 Zvezda St. Petersburg 20 29 29 0 24
8 Rostov II 14 28 14 +14 29
9 Dinamo Vologda 20 28 25 +3 23
10 Pobeda 14 26 16 +10 21
11 Torpedo Vladimir 20 25 20 +5 32
12 Shahter Taganrog 14 24 9 +15 30
13 Kosmos Dolgoprudny 21 24 30 -6 28
14 Sevastopol 14 23 9 +14 32
15 Yenisey II 21 23 40 -17 19
16 Kyzyltash 14 22 17 +5 23
17 Spartak Nalchik 14 21 10 +11 23
18 Spartak Moscow 2 21 21 27 -6 23
19 Cherepovets 20 21 32 -11 24
20 Nart Cherkessk 14 19 10 +9 24
21 Iskra Smolensk 21 19 44 -25 15
22 Rubin Yalta 14 17 13 +4 20
23 Druzhba 14 17 14 +3 22
24 Lugansk 14 15 22 -7 15
25 Izberbash 14 13 36 -23 15
26 Astrakhan 14 12 20 -8 12
27 Irkutsk 21 11 46 -35 11
28 Dynamo Makhachkala II 14 10 26 -16 9
29 FK Chayka 2 14 10 32 -22 7
30 Angust Nazran 14 7 16 -9 13
31 PSK Dinskaya 0 0 0 0 0