Prediction Audit: Nové Sady vs Slavičín Prediction, Odds & AI Betting Tips

May 29, 2026 - 16:00
1 1.45
1 1.25
xG Accuracy: 82%

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

The model had projected Nové Sady at 41.8%, 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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Nové Sady 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 model rates Nové Sady considerably stronger than the closing betting market.

Largest probability gap: Nové Sady +17.0 pp

Outcome Model Closing Market Difference Signal
Nové Sady 41.8% 24.8% +17.0 pp Model Edge
Draw 25.7% 26.4% -0.8 pp Aligned
Slavičín 32.6% 48.8% -16.2 pp Market Higher

The statistical model estimates Nové Sady's win probability at 41.8%, compared with the closing market's implied probability of 24.8%, a difference of 17.0 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 Draw 1–1.

Market Assessment

The statistical fair estimate is materially higher than the market on Nové Sady.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)

Market lesson

The closing market differed from the model on Nové Sady by 17.0 percentage points (24.8% vs model 41.8%) — 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. May 31, 2026 · 18:39 UTC Forecast generated
    • Model 1X2 · Nové Sady 41.8% · Draw 25.7% · Slavičín 32.6%
    • xG · Nové Sady 1.45 — Slavičín 1.25
  2. May 31, 2026 · 14:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Nové Sady 3.59 · Draw 3.36 · Slavičín 1.82
    • Implied 1X2 · Nové Sady 24.8% · Draw 26.4% · Slavičín 48.8%
    • Bookmaker · Pinnacle
  3. May 31, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Nové Sady 3.59 · Draw 3.36 · Slavičín 1.82
    • Implied 1X2 · Nové Sady 24.8% · Draw 26.4% · Slavičín 48.8%
    • Bookmaker · Pinnacle
  4. May 29, 2026 · 16:00 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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (17 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 4/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 03:15 UTC Snapshot ID: dp-3367149

Closing Odds 3.59
AI Fair Odds —
CLV Pending
Final Result Draw · Nové Sady 1–1 Slavičín
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: 4. liga - Divizie E
  • Fixture: Nové Sady vs Slavičín
  • Kickoff: 2026-05-31 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Nové Sady 1.45 — Slavičín 1.25 (total xG ≈ 2.7)
  • 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 Over 2.5 (Under 2.5 45.8% · Over 2.5 54.2%); BTTS Yes (Yes 51.3% · No 48.7%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 51.3% · No 48.7%
  • Correct score (top bin): 1-1 (11.1%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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

October 02, 2026 (UTC)

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4. liga - Divizie E 4. liga - Divizie E — Standings
# TEAM MP W D L PTS
1 Uherský Brod 27 21 6 0 69
2 Kozlovice 28 16 8 4 56
3 Tatran Všechovice 28 17 5 7 53
4 Strání 27 16 3 8 51
5 Sokol Lanžhot 26 13 6 7 45
6 Slavičín 27 13 6 9 45
7 Brumov 27 13 4 10 43
8 Bzenec 27 13 2 12 41
9 Baťov 27 9 7 11 34
10 Břeclav 28 10 3 15 33
11 Kroměříž II 28 8 3 17 27
12 Holešov 27 6 6 15 24
13 Šternberk 28 5 7 16 22
14 Nové Sady 26 3 8 15 17
15 Skaštice 27 3 4 20 13
# TEAM MP GS GC +/- PTS
1 Tatran Všechovice 28 67 38 +29 53
2 Kozlovice 28 59 30 +29 56
3 Bzenec 27 59 52 +7 41
4 Uherský Brod 27 55 14 +41 69
5 Strání 27 54 32 +22 51
6 Sokol Lanžhot 26 45 25 +20 45
7 Brumov 27 42 34 +8 43
8 Slavičín 27 40 38 +2 45
9 Holešov 27 39 53 -14 24
10 Břeclav 28 36 50 -14 33
11 Šternberk 28 35 54 -19 22
12 Baťov 27 31 41 -10 34
13 Kroměříž II 28 30 55 -25 27
14 Nové Sady 26 27 53 -26 17
15 Skaštice 27 24 78 -54 13