Statistics / Football / Russia. Premier League / FC Rostov vs Dynamo

FC Rostov vs Dynamo Statistics & Analysis

FC Rostov FC Rostov
Sep 17, 2026 - 15:30
0 1.25
3 1.35
xG Accuracy: 45%
Dynamo Dynamo
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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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Dynamo Dynamo ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 11, 2026 · 03:34 UTC Snapshot ID: dp-7996055

Closing Odds 2.19
AI Fair Odds —
CLV +0.0%
Final Result Dynamo win · FC Rostov 0–3 Dynamo
Prediction ✔ Correct
Decision Grade B-

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 FC Rostov (1X2), Draw (1X2), Under 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 FC Rostov (1X2) by about 4.5 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
FC Rostov (1X2) 32.9 28.4 +4.5
Draw (1X2) 29.6 27.5 +2.1
Dynamo (1X2) 37.6 44.2 -6.6
Over 2.5 goals 48.2 50.4 -2.2
Under 2.5 goals 51.8 49.6 +2.2
What this means

In plain terms: the model lands near 32.9% on FC Rostov (1X2), while the closing snapshot implied about 28.4%. The difference — about 4.5 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)
FC Rostov (1X2) 3.41 3.41 0.0
Draw (1X2) 3.52 3.52 0.0
Dynamo (1X2) 2.19 2.19 0.0
Over 2.5 goals 1.93 1.93 0.0
Under 2.5 goals 1.96 1.96 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Premier League
  • Fixture: FC Rostov vs Dynamo
  • Kickoff: 2026-09-17 15:30:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): FC Rostov 1.25 — Dynamo 1.35 (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 (12.5%)

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.

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

Historical Recommendation

Historical Decision: 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 27, 2026 (UTC)

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Back to Statistics
Premier League Premier League — Standings
# TEAM MP W D L PTS
1 FC Krasnodar 9 6 3 0 21
2 Dynamo 9 6 1 2 19
3 CSKA Moscow 9 5 4 0 19
4 Spartak Moscow 9 6 1 2 19
5 Zenit 9 6 0 3 18
6 Rubin 9 2 6 1 12
7 Makhachkala 9 4 0 5 12
8 Baltika 9 3 2 4 11
9 Krylia Sovetov 9 2 5 2 11
10 Akhmat 9 2 4 3 10
11 FC Orenburg 9 1 6 2 9
12 FC Rostov 9 2 2 5 8
13 Akron 9 1 5 3 8
14 Lokomotiv 9 1 4 4 7
15 Rodina Moskva 9 1 2 6 5
16 Fakel 9 0 3 6 3
# TEAM MP GS GC +/- PTS
1 Zenit 9 19 9 +10 18
2 Spartak Moscow 9 16 7 +9 19
3 CSKA Moscow 9 15 9 +6 19
4 Makhachkala 9 15 16 -1 12
5 FC Krasnodar 9 14 7 +7 21
6 Dynamo 9 14 8 +6 19
7 Baltika 9 14 12 +2 11
8 Akhmat 9 13 13 0 10
9 Krylia Sovetov 9 13 14 -1 11
10 Rubin 9 12 11 +1 12
11 Akron 9 11 18 -7 8
12 FC Rostov 9 10 17 -7 8
13 Rodina Moskva 9 10 22 -12 5
14 Lokomotiv 9 8 11 -3 7
15 FC Orenburg 9 7 10 -3 9
16 Fakel 9 6 13 -7 3