Prediction Audit: Niva vs Volna Prediction, Odds & AI Betting Tips

Sep 26, 2026 - 11:00
4 1.34
0 1.26
xG Accuracy: 34%

AI correctly predicted the Niva win.

The match finished 4–0, validating the model's directional assessment.

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 No ✖ Incorrect
  • 1X2 Niva Niva ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 4-0 ✖ Incorrect

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

The model's directional lean matched the full-time result (Niva win 4–0).

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Prediction Timeline

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

  1. Sep 21, 2026 · 00:51 UTC Forecast generated
    • xG · Niva 1.34 — Volna 1.26
  2. Sep 26, 2026 · 11:00 UTC Kickoff
  3. FT Full-time result Niva win · 4–0
  4. FT Prediction validated Directional lean matched full-time result
  5. 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Pending
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation pending
Market Compatibility 100/100
Betting Confidence 59/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 00:51 UTC Snapshot ID: dp-10080042

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Niva win · Niva 4–0 Volna
Prediction ✔ Correct
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: 1. Division
  • Fixture: Niva vs Volna
  • Kickoff: 2026-09-26 11:00:00
  • 1X2 (model): Home 37.0% · Draw 29.6% · Away 33.4%
  • xG (showing): Niva 1.34 — Volna 1.26 (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): 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: No Primary Bet

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 29, 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