Predictions / Football / Russia. First League / Rotor Volgograd vs Ural

Prediction Audit: Rotor Volgograd vs Ural Prediction, Odds & AI Betting Tips

Aug 14, 2026 - 16:30
1 1.37
1 1.23
xG Accuracy: 85%

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

The model had projected Rotor Volgograd at 38.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 Yes Yes ✔ Correct
  • 1X2 Rotor Volgograd Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates Rotor Volgograd considerably stronger than the closing betting market.

Largest probability gap: Rotor Volgograd +9.0 pp

Outcome Model Closing Market Difference Signal
Rotor Volgograd 38.5% 29.4% +9.0 pp Model Higher
Draw 29.6% 32.1% -2.5 pp Aligned
Ural 31.9% 38.4% -6.5 pp Market Higher

The statistical model estimates Rotor Volgograd's win probability at 38.5%, compared with the closing market's implied probability of 29.4%, a difference of 9.0 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 fair estimate shows a modest edge over current market pricing on Rotor Volgograd.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Rotor Volgograd; match finished Draw

Market lesson

The closing market differed from the model on Rotor Volgograd by 9.0 percentage points (29.5% vs model 38.5%) — 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. Aug 14, 2026 · 16:29 UTC Forecast generated
    • Model 1X2 · Rotor Volgograd 38.5% · Draw 29.6% · Ural 31.9%
    • xG · Rotor Volgograd 1.37 — Ural 1.23
  2. Aug 14, 2026 · 16:02 UTC Opening odds snapshot PRE30
    • 1X2 odds · Rotor Volgograd 3.25 · Draw 2.98 · Ural 2.49
    • Implied 1X2 · Rotor Volgograd 29.4% · Draw 32.1% · Ural 38.4%
    • Bookmaker · Pinnacle
  3. Aug 14, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Rotor Volgograd 3.25 · Draw 2.98 · Ural 2.49
    • Implied 1X2 · Rotor Volgograd 29.4% · Draw 32.1% · Ural 38.4%
    • Bookmaker · Pinnacle
  4. Aug 14, 2026 · 16:30 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 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • Statistical edge detected
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 18/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 08, 2026 · 01:29 UTC Snapshot ID: dp-3229005

Closing Odds 3.25
AI Fair Odds —
CLV Pending
Final Result Draw · Rotor Volgograd 1–1 Ural
Prediction ✖ Missed
Decision Grade C

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: First League
  • Fixture: Rotor Volgograd vs Ural
  • Kickoff: 2026-08-14 16:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Rotor Volgograd 1.37 — Ural 1.23 (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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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: 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

September 29, 2026 (UTC)

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Back to Predictions
First League First League — Standings
# TEAM MP W D L PTS
1 Nizhny Novgorod 12 10 1 1 31
2 Spartak Kostroma 11 7 3 1 24
3 FC Sochi 12 7 2 3 23
4 Veles 12 7 2 3 23
5 Ural 11 6 4 1 22
6 Torpedo Moskva 11 6 2 3 20
7 Rotor Volgograd 12 5 2 5 17
8 FC UFA 11 4 5 2 17
9 Shinnik Yaroslavl 11 3 6 2 15
10 Enisey 11 3 4 4 13
11 Arsenal Tula 12 3 4 5 13
12 FK Neftekhimik 12 4 0 8 12
13 Volga Ulyanovsk 11 3 2 6 11
14 Chelyabinsk 11 3 2 6 11
15 Leningradets 11 2 4 5 10
16 KAMAZ 12 2 3 7 9
17 Tekstilshchik 12 1 4 7 7
18 Ska-khabarovsk 11 1 2 8 5
# TEAM MP GS GC +/- PTS
1 Nizhny Novgorod 12 36 14 +22 31
2 Torpedo Moskva 11 21 9 +12 20
3 FC Sochi 12 21 14 +7 23
4 Rotor Volgograd 12 20 14 +6 17
5 Ural 11 18 5 +13 22
6 FC UFA 11 16 13 +3 17
7 Veles 12 16 14 +2 23
8 Spartak Kostroma 11 15 8 +7 24
9 Shinnik Yaroslavl 11 15 13 +2 15
10 Volga Ulyanovsk 11 14 17 -3 11
11 Enisey 11 14 19 -5 13
12 Chelyabinsk 11 12 18 -6 11
13 Arsenal Tula 12 12 22 -10 13
14 KAMAZ 12 11 19 -8 9
15 Ska-khabarovsk 11 11 23 -12 5
16 Leningradets 11 9 20 -11 10
17 Tekstilshchik 12 8 19 -11 7
18 FK Neftekhimik 12 7 15 -8 12