Predictions / Football / Belarus. Premier League / Torpedo Zhodino vs FC Gomel

Prediction Audit: Torpedo Zhodino vs FC Gomel Prediction, Odds & AI Betting Tips

Torpedo Zhodino Torpedo Zhodino
Sep 05, 2026 - 12:30
1 1.33
2 1.27
xG Accuracy: 75%
FC Gomel FC Gomel

The model missed the final outcome (FC Gomel win 1–2).

The model had projected Torpedo Zhodino 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 Torpedo Zhodino FC Gomel ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw -1.4 pp

Outcome Model Closing Market Difference Signal
Torpedo Zhodino 36.6% 36.4% +0.2 pp Aligned
Draw 29.6% 31.1% -1.4 pp Aligned
FC Gomel 33.8% 32.6% +1.2 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 FC Gomel win 1–2.

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 1–2 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 Torpedo Zhodino; match finished FC Gomel

Market lesson

The full-time result was FC Gomel win 1–2, 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 · 12:29 UTC Forecast generated
    • Model 1X2 · Torpedo Zhodino 36.6% · Draw 29.6% · FC Gomel 33.8%
    • xG · Torpedo Zhodino 1.33 — FC Gomel 1.27
  2. Sep 05, 2026 · 12:20 UTC Opening odds snapshot PRE10
    • 1X2 odds · Torpedo Zhodino 2.52 · Draw 2.95 · FC Gomel 2.81
    • Implied 1X2 · Torpedo Zhodino 36.4% · Draw 31.1% · FC Gomel 32.6%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 12:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Torpedo Zhodino 2.52 · Draw 2.95 · FC Gomel 2.81
    • Implied 1X2 · Torpedo Zhodino 36.4% · Draw 31.1% · FC Gomel 32.6%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 12:30 UTC Kickoff
  5. FT Full-time result FC Gomel win · 1–2
  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: Observe
Historical Decision No Primary Bet
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 92/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:51 UTC Snapshot ID: dp-6135518

Closing Odds 2.95
AI Fair Odds —
CLV Pending
Final Result FC Gomel win · Torpedo Zhodino 1–2 FC Gomel
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: Premier League
  • Fixture: Torpedo Zhodino vs FC Gomel
  • Kickoff: 2026-09-05 12:30:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Torpedo Zhodino 1.33 — FC Gomel 1.27 (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 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

Historical Recommendation

Historical Decision: No Primary Bet

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 30, 2026 (UTC)

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Premier League Premier League — Standings
# TEAM MP W D L PTS
1 FC Isloch Minsk R. 22 13 6 3 45
2 ML Vitebsk 21 12 8 1 44
3 Dinamo Minsk 21 13 4 4 43
4 Dinamo Brest 23 12 4 7 40
5 FC Gomel 23 11 6 6 39
6 Neman 22 11 4 7 37
7 FC Vitebsk 23 10 6 7 36
8 FC Minsk 23 10 4 9 34
9 Torpedo Zhodino 22 7 6 9 27
10 Slavia Mozyr 22 6 7 9 25
11 Baranovichi 23 6 7 10 25
12 Arsenal 23 5 8 10 23
13 Belshina 22 5 6 11 21
14 Bate Borisov 22 3 9 10 18
15 FC Dnepr Mogilev 23 2 10 11 16
16 Naftan 23 3 5 15 14
# TEAM MP GS GC +/- PTS
1 ML Vitebsk 21 42 17 +25 44
2 Dinamo Brest 23 38 23 +15 40
3 Dinamo Minsk 21 37 16 +21 43
4 FC Isloch Minsk R. 22 37 18 +19 45
5 FC Gomel 23 33 18 +15 39
6 FC Minsk 23 30 28 +2 34
7 FC Vitebsk 23 28 21 +7 36
8 Torpedo Zhodino 22 28 29 -1 27
9 Neman 22 26 20 +6 37
10 Baranovichi 23 24 38 -14 25
11 Arsenal 23 24 41 -17 23
12 Slavia Mozyr 22 23 26 -3 25
13 Belshina 22 22 36 -14 21
14 FC Dnepr Mogilev 23 20 36 -16 16
15 Naftan 23 20 54 -34 14
16 Bate Borisov 22 16 27 -11 18