Predictions / Football / Russia. First League / Volga Ulyanovsk vs Arsenal Tula

Prediction Audit: Volga Ulyanovsk vs Arsenal Tula Prediction, Odds & AI Betting Tips

Volga Ulyanovsk Volga Ulyanovsk
Sep 05, 2026 - 13:00
3 1.29
0 1.31
xG Accuracy: 44%
Arsenal Tula Arsenal Tula

The model missed the final outcome (Volga Ulyanovsk win 3–0).

The model had projected Arsenal Tula at 35.6%, 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 No ✖ Incorrect
  • 1X2 Arsenal Tula Volga Ulyanovsk ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-0 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Volga Ulyanovsk -2.6 pp

Outcome Model Closing Market Difference Signal
Volga Ulyanovsk 34.7% 37.3% -2.6 pp Aligned
Draw 29.6% 29.1% +0.6 pp Aligned
Arsenal Tula 35.6% 33.6% +2.0 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 Volga Ulyanovsk win 3–0.

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

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The full-time result was Volga Ulyanovsk win 3–0, 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. Sep 05, 2026 · 13:03 UTC Forecast generated
    • Model 1X2 · Volga Ulyanovsk 34.7% · Draw 29.7% · Arsenal Tula 35.6%
    • xG · Volga Ulyanovsk 1.29 — Arsenal Tula 1.31
  2. Sep 05, 2026 · 12:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Volga Ulyanovsk 2.57 · Draw 3.30 · Arsenal Tula 2.85
    • Implied 1X2 · Volga Ulyanovsk 37.3% · Draw 29.1% · Arsenal Tula 33.6%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 13:03 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Volga Ulyanovsk 2.57 · Draw 3.30 · Arsenal Tula 2.85
    • Implied 1X2 · Volga Ulyanovsk 37.3% · Draw 29.1% · Arsenal Tula 33.6%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Volga Ulyanovsk win · 3–0
  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 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 30/100
Monitoring Confidence 35/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 02:05 UTC Snapshot ID: dp-6139131

Closing Odds 2.57
AI Fair Odds —
CLV Pending
Final Result Volga Ulyanovsk win · Volga Ulyanovsk 3–0 Arsenal Tula
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

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

  • League: First League
  • Fixture: Volga Ulyanovsk vs Arsenal Tula
  • Kickoff: 2026-09-05 13:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Volga Ulyanovsk 1.29 — Arsenal Tula 1.31 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 (12.6%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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 29, 2026 (UTC)

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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