Statistics / Football / Russia. First League / Enisey vs Arsenal Tula

Enisey vs Arsenal Tula Statistics & Analysis

Enisey Enisey
Sep 16, 2026 - 12:30
3 1.33
1 1.27
xG Accuracy: 59%
Arsenal Tula Arsenal Tula
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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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Enisey Enisey ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 10, 2026 · 01:57 UTC Snapshot ID: dp-7846477

Closing Odds 2.58
AI Fair Odds —
CLV +0.0%
Final Result Enisey win · Enisey 3–1 Arsenal Tula
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 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 Over 2.5 goals by about 6.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Enisey (1X2) 36.6 37.1 -0.5
Draw (1X2) 29.6 29.4 +0.3
Arsenal Tula (1X2) 33.8 33.5 +0.3
Over 2.5 goals 48.2 42.2 +6.0
Under 2.5 goals 51.8 57.8 -6.0
What this means

In plain terms: the model lands near 48.2% on Over 2.5 goals, while the closing snapshot implied about 42.2%. The difference — about 6.0 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)
Enisey (1X2) 2.58 2.58 0.0
Draw (1X2) 3.26 3.26 0.0
Arsenal Tula (1X2) 2.86 2.86 0.0
Over 2.5 goals 2.26 2.26 0.0
Under 2.5 goals 1.65 1.65 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: Enisey vs Arsenal Tula
  • Kickoff: 2026-09-16 12:30:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Enisey 1.33 — Arsenal Tula 1.27 (total xG ≈ 2.6)
  • Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
  • Model: 48.2% · Implied: 43.1% · Probability edge: +5.1 pts · Est. EV: +7.0%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: 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 29, 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