Prediction Audit: BATE II vs Volna Prediction, Odds & AI Betting Tips

Aug 16, 2026 - 14:00
5 1.31
3 1.29
xG Accuracy: 23%

AI correctly predicted the BATE II win.

The match finished 5–3, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (8 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 BATE II BATE II ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 5-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Volna higher than the statistical model.

Largest probability gap: Volna -32.9 pp

Outcome Model Closing Market Difference Signal
BATE II 35.6% 13.7% +21.9 pp Model Edge
Draw 29.6% 18.7% +10.9 pp Model Edge
Volna 34.7% 67.6% -32.9 pp Market Higher

The closing market estimates Volna's win probability at 67.6%, compared with the model's estimate of 34.7%, a difference of 32.9 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 model's directional lean matched the result (BATE II win 5–3).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 8 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 (8 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced BATE II higher (68.5% vs model 35.6%, 32.9 pp), but the model's lean was validated (BATE II win 5–3).

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Prediction Timeline

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

  1. Aug 16, 2026 · 13:57 UTC Forecast generated
    • Model 1X2 · BATE II 35.6% · Draw 29.7% · Volna 34.7%
    • xG · BATE II 1.31 — Volna 1.29
  2. Aug 16, 2026 · 13:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · BATE II 6.55 · Draw 4.80 · Volna 1.33
    • Implied 1X2 · BATE II 13.7% · Draw 18.7% · Volna 67.6%
    • Bookmaker · Marathonbet
  3. Aug 16, 2026 · 13:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · BATE II 6.55 · Draw 4.80 · Volna 1.33
    • Implied 1X2 · BATE II 13.7% · Draw 18.7% · Volna 67.6%
    • Bookmaker · Marathonbet
  4. Aug 16, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result BATE II win · 5–3
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 33/100 · Low
  • Validation: Fail
  • Large market gap (33 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: Aug 11, 2026 · 01:24 UTC Snapshot ID: dp-3606884

Closing Odds 1.33
AI Fair Odds —
CLV Pending
Final Result BATE II win · BATE II 5–3 Volna
Prediction ✔ Correct
Decision Grade B-

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 BATE II; market prices Volna instead — inputs may be missing or stale.

  • Model: BATE II 1.31 xG vs Volna 1.29 → BATE II 35.6%
  • Market: Volna ~13.7% 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

Outcome: Validated — Pre-match lean validated against 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 26, 2026 (UTC)

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Back to Predictions
1. Division 1. Division — Standings
# TEAM MP W D L PTS
1 Niva 25 16 3 6 51
2 FC Slutsk 25 15 6 4 51
3 Lida 26 16 3 7 51
4 FC Energetik-Bgu Minsk 25 14 5 6 47
5 Slonim 26 14 4 8 46
6 Molodechno-DYuSSh 4 25 14 3 8 45
7 Bumprom 25 11 4 10 37
8 Shakhter Soligorsk 25 10 6 9 36
9 Dinamo Minsk II 25 10 5 10 35
10 Volna 25 10 4 11 34
11 Ostrovets FC 25 8 9 8 33
12 Smorgon 26 8 6 12 30
13 Minsk II 25 9 3 13 30
14 Orsha 25 7 5 13 26
15 Uni Minsk 25 6 7 12 25
16 Gomel II 25 5 6 14 21
17 BATE II 26 5 6 15 21
18 Osipovichy 25 5 3 17 18
# TEAM MP GS GC +/- PTS
1 Niva 25 63 31 +32 51
2 Lida 26 49 43 +6 51
3 Shakhter Soligorsk 25 49 43 +6 36
4 FC Slutsk 25 48 24 +24 51
5 FC Energetik-Bgu Minsk 25 48 30 +18 47
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 25 40 44 -4 34
11 Minsk II 25 36 46 -10 30
12 Ostrovets FC 25 35 37 -2 33
13 BATE II 26 35 60 -25 21
14 Gomel II 25 33 48 -15 21
15 Smorgon 26 31 36 -5 30
16 Orsha 25 27 46 -19 26
17 Osipovichy 25 26 62 -36 18
18 Uni Minsk 25 24 34 -10 25