Predictions / Football / Belarus. Premier League / Neman vs Slavia Mozyr

Prediction Audit: Neman vs Slavia Mozyr Prediction, Odds & AI Betting Tips

Neman Neman
Aug 29, 2026 - 16:30
1 1.25
0 1.35
xG Accuracy: 64%
Slavia Mozyr Slavia Mozyr

The model missed the final outcome (Neman win 1–0).

The model had projected Slavia Mozyr at 37.5%, 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Slavia Mozyr Neman ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Neman higher than the statistical model.

Largest probability gap: Neman -18.3 pp

Outcome Model Closing Market Difference Signal
Neman 32.9% 51.2% -18.3 pp Market Higher
Draw 29.6% 26.8% +2.8 pp Aligned
Slavia Mozyr 37.5% 22.0% +15.5 pp Model Edge

The closing market estimates Neman's win probability at 51.2%, compared with the model's estimate of 32.9%, a difference of 18.3 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 Neman win 1–0.

Market Assessment

The market is materially more optimistic about Neman than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Slavia Mozyr; match finished Neman

Market lesson

The closing market differed from the model on Slavia Mozyr by 18.3 percentage points (55.8% vs model 37.5%) — 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. Aug 29, 2026 · 16:29 UTC Forecast generated
    • Model 1X2 · Neman 32.9% · Draw 29.6% · Slavia Mozyr 37.6%
    • xG · Neman 1.25 — Slavia Mozyr 1.35
  2. Aug 29, 2026 · 16:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · Neman 1.79 · Draw 3.42 · Slavia Mozyr 4.16
    • Implied 1X2 · Neman 51.2% · Draw 26.8% · Slavia Mozyr 22.0%
    • Bookmaker · Pinnacle
  3. Aug 29, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Neman 1.79 · Draw 3.42 · Slavia Mozyr 4.16
    • Implied 1X2 · Neman 51.2% · Draw 26.8% · Slavia Mozyr 22.0%
    • Bookmaker · Pinnacle
  4. Aug 29, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Neman win · 1–0
  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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 2/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 04:29 UTC Snapshot ID: dp-5156351

Closing Odds 1.79
AI Fair Odds —
CLV Pending
Final Result Neman win · Neman 1–0 Slavia Mozyr
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: Neman vs Slavia Mozyr
  • Kickoff: 2026-08-29 16:30:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Neman 1.25 — Slavia Mozyr 1.35 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.5%, 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%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 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