Predictions / Football / Belarus. 1. Division / Lida vs Slonim

Prediction Audit: Lida vs Slonim Prediction, Odds & AI Betting Tips

Lida Lida
Jul 26, 2026 - 14:00
1 1.55
3 1.05
xG Accuracy: 50%
Slonim Slonim

The model missed the final outcome (Slonim win 1–3).

The model had projected Lida at 47.3%, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Lida Slonim ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 1-3 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Draw considerably stronger than the closing betting market.

Largest probability gap: Draw +7.2 pp

Outcome Model Closing Market Difference Signal
Lida 47.3% 53.8% -6.5 pp Market Higher
Draw 28.6% 21.4% +7.2 pp Model Higher
Slonim 24.1% 24.8% -0.7 pp Aligned

The statistical model estimates Draw's win probability at 28.6%, compared with the closing market's implied probability of 21.4%, a difference of 7.2 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 Slonim win 1–3.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Draw.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Lida; match finished Slonim

Market lesson

The closing market differed from the model on Lida by 7.2 percentage points (40.1% 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. Jul 26, 2026 · 19:38 UTC Forecast generated
    • Model 1X2 · Lida 47.3% · Draw 28.5% · Slonim 24.1%
    • xG · Lida 1.55 — Slonim 1.05
  2. Jul 26, 2026 · 13:56 UTC Opening odds snapshot PRE5
    • 1X2 odds · Lida 1.67 · Draw 4.20 · Slonim 3.62
    • Implied 1X2 · Lida 53.8% · Draw 21.4% · Slonim 24.8%
    • Bookmaker · Marathonbet
  3. Jul 26, 2026 · 14:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Lida 1.67 · Draw 4.20 · Slonim 3.62
    • Implied 1X2 · Lida 53.8% · Draw 21.4% · Slonim 24.8%
    • Bookmaker · Marathonbet
  4. Jul 26, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Slonim win · 1–3
  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 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 64/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:47 UTC Snapshot ID: dp-1451301

Closing Odds 4.2
AI Fair Odds —
CLV Pending
Final Result Slonim win · Lida 1–3 Slonim
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

Quick read on how the model reads this matchup.

  • League: Belarus First Division
  • Fixture: Lida vs Slonim
  • Kickoff: 2026-07-26 14:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Lida 1.55 — Slonim 1.05 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

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

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 28, 2026 (UTC)

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Back to Predictions
1. Division 1. Division — Standings
# TEAM MP W D L PTS
1 Niva 26 17 3 6 54
2 FC Slutsk 26 16 6 4 54
3 Lida 26 16 3 7 51
4 FC Energetik-Bgu Minsk 26 15 5 6 50
5 Slonim 26 14 4 8 46
6 Molodechno-DYuSSh 4 25 14 3 8 45
7 Shakhter Soligorsk 26 11 6 9 39
8 Bumprom 25 11 4 10 37
9 Dinamo Minsk II 25 10 5 10 35
10 Ostrovets FC 26 8 10 8 34
11 Volna 26 10 4 12 34
12 Smorgon 26 8 6 12 30
13 Minsk II 26 9 3 14 30
14 Uni Minsk 26 6 8 12 26
15 Orsha 26 7 5 14 26
16 Gomel II 26 5 6 15 21
17 BATE II 26 5 6 15 21
18 Osipovichy 25 5 3 17 18
# TEAM MP GS GC +/- PTS
1 Niva 26 67 31 +36 54
2 FC Energetik-Bgu Minsk 26 53 31 +22 50
3 FC Slutsk 26 52 27 +25 54
4 Shakhter Soligorsk 26 51 43 +8 39
5 Lida 26 49 43 +6 51
6 Slonim 26 48 31 +17 46
7 Bumprom 25 47 37 +10 37
8 Molodechno-DYuSSh 4 25 44 36 +8 45
9 Dinamo Minsk II 25 42 37 +5 35
10 Volna 26 40 48 -8 34
11 Ostrovets FC 26 36 38 -2 34
12 Minsk II 26 36 48 -12 30
13 Gomel II 26 36 52 -16 21
14 BATE II 26 35 60 -25 21
15 Smorgon 26 31 36 -5 30
16 Orsha 26 28 51 -23 26
17 Osipovichy 25 26 62 -36 18
18 Uni Minsk 26 25 35 -10 26
1. Division Belarus. 1. Division Predictions