Predictions / Football / Russia. First League / Arsenal Tula vs Rotor Volgograd

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

Aug 20, 2026 - 15:30
2 1.27
1 1.33
xG Accuracy: 75%

The model missed the final outcome (Arsenal Tula win 2–1).

The model had projected Rotor Volgograd at 36.6%, but the full-time result went the other way.

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

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Rotor Volgograd +4.4 pp

Outcome Model Closing Market Difference Signal
Arsenal Tula 33.8% 37.7% -4.0 pp Aligned
Draw 29.6% 30.1% -0.5 pp Aligned
Rotor Volgograd 36.6% 32.1% +4.4 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Arsenal Tula win 2–1.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)
  • 1X2: model leaned Rotor Volgograd; match finished Arsenal Tula

Market lesson

The full-time result was Arsenal Tula win 2–1, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 20, 2026 · 15:29 UTC Forecast generated
    • Model 1X2 · Arsenal Tula 33.8% · Draw 29.6% · Rotor Volgograd 36.6%
    • xG · Arsenal Tula 1.27 — Rotor Volgograd 1.33
  2. Aug 20, 2026 · 14:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Arsenal Tula 2.54 · Draw 3.18 · Rotor Volgograd 2.98
    • Implied 1X2 · Arsenal Tula 37.7% · Draw 30.1% · Rotor Volgograd 32.1%
    • Bookmaker · Pinnacle
  3. Aug 20, 2026 · 15:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Arsenal Tula 2.54 · Draw 3.18 · Rotor Volgograd 2.98
    • Implied 1X2 · Arsenal Tula 37.7% · Draw 30.1% · Rotor Volgograd 32.1%
    • Bookmaker · Pinnacle
  4. Aug 20, 2026 · 15:30 UTC Kickoff
  5. FT Full-time result Arsenal Tula win · 2–1
  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 77/100 · High
  • Validation: Pass
Evidence
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 26/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 14, 2026 · 07:24 UTC Snapshot ID: dp-3922580

Closing Odds 2.98
AI Fair Odds
CLV Pending
Final Result Arsenal Tula win · Arsenal Tula 2–1 Rotor Volgograd
Prediction ✖ Missed
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

Pre-match snapshot for this fixture.

  • League: First League
  • Fixture: Arsenal Tula vs Rotor Volgograd
  • Kickoff: 2026-08-20 15:30:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Arsenal Tula 1.27 — Rotor Volgograd 1.33 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.4%, 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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 23, 2026 (UTC)

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First League First LeagueStandings
# 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