Predictions / Football / Belarus. Premier League / FC Dnepr Mogilev vs ML Vitebsk

Prediction Audit: FC Dnepr Mogilev vs ML Vitebsk Prediction, Odds & AI Betting Tips

Sep 13, 2026 - 12:00
1 1.05
1 1.55
xG Accuracy: 85%

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

The model had projected ML Vitebsk at 47.3%, 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, 0-1, 1-2, 0-2, 1-0 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 -21.6 pp

Outcome Model Closing Market Difference Signal
FC Dnepr Mogilev 24.1% 11.8% +12.3 pp Model Edge
Draw 28.6% 19.3% +9.2 pp Model Higher
ML Vitebsk 47.3% 68.9% -21.6 pp Market Higher

The closing market estimates ML Vitebsk's win probability at 68.9%, compared with the model's estimate of 47.3%, a difference of 21.6 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: PRE5.

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 21.6 percentage points (68.9% vs model 47.3%) — 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 13, 2026 · 11:55 UTC Forecast generated
    • Model 1X2 · FC Dnepr Mogilev 24.1% · Draw 28.5% · ML Vitebsk 47.3%
    • xG · FC Dnepr Mogilev 1.05 — ML Vitebsk 1.55
  2. Sep 13, 2026 · 11:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC Dnepr Mogilev 7.76 · Draw 4.74 · ML Vitebsk 1.33
    • Implied 1X2 · FC Dnepr Mogilev 11.8% · Draw 19.3% · ML Vitebsk 68.9%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 11:55 UTC Closing snapshot recorded PRE5
    • 1X2 odds · FC Dnepr Mogilev 7.76 · Draw 4.74 · ML Vitebsk 1.33
    • Implied 1X2 · FC Dnepr Mogilev 11.8% · Draw 19.3% · ML Vitebsk 68.9%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 12:00 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 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:12 UTC Snapshot ID: dp-7428323

Closing Odds 1.33
AI Fair Odds —
CLV Pending
Final Result Draw · FC Dnepr Mogilev 1–1 ML Vitebsk
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

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: FC Dnepr Mogilev vs ML Vitebsk
  • Kickoff: 2026-09-13 12:00:00
  • 1X2 (model): Home 24.1% · Draw 28.5% · Away 47.3%
  • xG (showing): FC Dnepr Mogilev 1.05 — ML Vitebsk 1.55 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 52.8% · No 47.2%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 52.8% · No 47.2%
  • Correct score (top bin): 1-1 (12.1%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 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