Statistics / Football / Russia. First League / Nizhny Novgorod vs Rotor Volgograd

Nizhny Novgorod vs Rotor Volgograd Statistics & Analysis

Nizhny Novgorod Nizhny Novgorod
Jul 12, 2026 - 13:30
4 1.25
2 1.35
xG Accuracy: 39%
Rotor Volgograd Rotor Volgograd
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (6 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Nizhny Novgorod Nizhny Novgorod ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 09:08 UTC Snapshot ID: dp-1692385

Closing Odds 4.16
AI Fair Odds —
CLV +0.0%
Final Result Nizhny Novgorod win · Nizhny Novgorod 4–2 Rotor Volgograd
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Rotor Volgograd (1X2), Over 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Rotor Volgograd (1X2) by about 11.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Nizhny Novgorod (1X2) 35.6 46.9 -11.3
Draw (1X2) 30.0 30.2 -0.1
Rotor Volgograd (1X2) 34.4 23.0 +11.4
Over 2.5 goals 48.2 39.4 +8.8
Under 2.5 goals 51.8 60.6 -8.8
What this means

In plain terms: the model lands near 34.4% on Rotor Volgograd (1X2), while the closing snapshot implied about 23.0%. The difference — about 11.4 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Nizhny Novgorod (1X2) 2.04 2.04 0.0
Draw (1X2) 3.17 3.17 0.0
Rotor Volgograd (1X2) 4.16 4.16 0.0
Over 2.5 goals 2.42 2.42 0.0
Under 2.5 goals 1.57 1.57 0.0

AI match briefing

AI Match Summary

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

  • League: First League
  • Fixture: Nizhny Novgorod vs Rotor Volgograd
  • Kickoff: 2026-07-12 13:30:00
  • 1X2 (model): Home 35.6% · Draw 30.0% · Away 34.4%
  • xG (showing): Nizhny Novgorod 1.25 — Rotor Volgograd 1.35 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.5% · Implied: 47.2% · Probability edge: +7.3 pts · Est. EV: +10.6%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: Selective Lean - No Primary Bet

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 Statistics
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