Predictions / Football / Belarus. Premier League / ML Vitebsk vs Belshina

Prediction Audit: ML Vitebsk vs Belshina Prediction, Odds & AI Betting Tips

ML Vitebsk ML Vitebsk
Sep 02, 2026 - 15:30
1 1.48
1 1.12
xG Accuracy: 85%
Belshina Belshina

The model missed the final outcome (Draw 1–1).

The model had projected ML Vitebsk at 43.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 ML Vitebsk Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices ML Vitebsk higher than the statistical model.

Largest probability gap: ML Vitebsk -36.0 pp

Outcome Model Closing Market Difference Signal
ML Vitebsk 43.8% 79.8% -36.0 pp Market Higher
Draw 29.1% 13.0% +16.1 pp Model Edge
Belshina 27.1% 7.2% +19.9 pp Model Edge

The closing market estimates ML Vitebsk's win probability at 79.8%, compared with the model's estimate of 43.8%, a difference of 36.0 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

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 Draw 1–1.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned ML Vitebsk; match finished Draw

Market lesson

The closing market differed from the model on ML Vitebsk by 36.0 percentage points (79.8% vs model 43.8%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 02, 2026 · 15:29 UTC Forecast generated
    • Model 1X2 · ML Vitebsk 43.9% · Draw 29.1% · Belshina 27.1%
    • xG · ML Vitebsk 1.48 — Belshina 1.12
  2. Sep 02, 2026 · 15:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · ML Vitebsk 1.14 · Draw 7.02 · Belshina 12.60
    • Implied 1X2 · ML Vitebsk 79.8% · Draw 13.0% · Belshina 7.2%
    • Bookmaker · Pinnacle
  3. Sep 02, 2026 · 15:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · ML Vitebsk 1.14 · Draw 7.02 · Belshina 12.60
    • Implied 1X2 · ML Vitebsk 79.8% · Draw 13.0% · Belshina 7.2%
    • Bookmaker · Pinnacle
  4. Sep 02, 2026 · 15:30 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 31/100 · Low
  • Validation: Fail
  • Large market gap (36 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 00:17 UTC Snapshot ID: dp-1519433

Closing Odds 1.14
AI Fair Odds —
CLV Pending
Final Result Draw · ML Vitebsk 1–1 Belshina
Prediction ✖ Missed
Decision Grade C

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

Model favours ML Vitebsk; market prices ML Vitebsk instead — inputs may be missing or stale.

  • Model: ML Vitebsk 1.48 xG vs Belshina 1.12 → ML Vitebsk 43.8%
  • Market: ML Vitebsk ~79.8% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.6% · No 46.4%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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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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