Predictions / Football / Serbia. Super Liga / Cukaricki vs Vojvodina

Prediction Audit: Cukaricki vs Vojvodina Prediction, Odds & AI Betting Tips

Cukaricki Cukaricki
Aug 29, 2026 - 19:00
0 1.25
5 1.80
xG Accuracy: 29%
Vojvodina Vojvodina

AI correctly predicted the Vojvodina win.

The match finished 0–5, 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 Over 2.5 Over 2.5 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Vojvodina Vojvodina ✔ Correct
  • Correct Score Insights 1-1, 1-2, 0-1, 0-2, 2-1 0-5 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Cukaricki +2.0 pp

Outcome Model Closing Market Difference Signal
Cukaricki 25.1% 23.1% +2.0 pp Aligned
Draw 25.9% 26.3% -0.4 pp Aligned
Vojvodina 49.0% 50.6% -1.6 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 model's directional lean matched the result (Vojvodina win 0–5).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.05) — 5 goals materialised
  • Vojvodina attacking xG significantly stronger (1.80 vs 1.25)
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (Vojvodina win 0–5).

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Prediction Timeline

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

  1. Aug 29, 2026 · 20:02 UTC Forecast generated
    • Model 1X2 · Cukaricki 25.1% · Draw 25.9% · Vojvodina 49.0%
    • xG · Cukaricki 1.25 — Vojvodina 1.80
  2. Aug 29, 2026 · 18:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Cukaricki 4.00 · Draw 3.52 · Vojvodina 1.83
    • Implied 1X2 · Cukaricki 23.1% · Draw 26.3% · Vojvodina 50.6%
    • Bookmaker · Pinnacle
  3. Aug 29, 2026 · 18:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Cukaricki 4.00 · Draw 3.52 · Vojvodina 1.83
    • Implied 1X2 · Cukaricki 23.1% · Draw 26.3% · Vojvodina 50.6%
    • Bookmaker · Pinnacle
  4. Aug 29, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Vojvodina win · 0–5
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 90/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 04:54 UTC Snapshot ID: dp-5161366

Closing Odds 4.0
AI Fair Odds —
CLV Pending
Final Result Vojvodina win · Cukaricki 0–5 Vojvodina
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Super Liga
  • Fixture: Cukaricki vs Vojvodina
  • Kickoff: 2026-08-29 19:00:00
  • 1X2 (model): Home 25.1% · Draw 25.9% · Away 49.0%
  • xG (showing): Cukaricki 1.25 — Vojvodina 1.8 (total xG ≈ 3.05)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 41.2% · Over 2.5 58.8%); BTTS Yes (Yes 60.9% · No 39.1%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 60.9% · No 39.1%
  • Correct score (top bin): 1-1 (10.7%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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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Super Liga Super Liga — Standings
# TEAM MP W D L PTS
1 FK Crvena Zvezda 10 9 1 0 28
2 Vojvodina 10 7 1 2 22
3 Radnicki 1923 9 5 2 2 17
4 Mladost Lucani 10 4 4 2 16
5 IMT Novi Beograd 10 4 3 3 15
6 Železničar Pančevo 9 4 2 3 14
7 Radnik Surdulica 10 3 5 2 14
8 Novi Pazar 10 3 4 3 13
9 Cukaricki 10 3 2 5 11
10 OFK Beograd 10 2 3 5 9
11 FK Partizan 9 2 2 5 8
12 Radnicki NIS 9 2 2 5 8
13 Macva 10 2 2 6 8
14 Zemun 10 0 3 7 3
# TEAM MP GS GC +/- PTS
1 FK Crvena Zvezda 10 24 3 +21 28
2 Vojvodina 10 21 10 +11 22
3 Radnicki 1923 9 17 9 +8 17
4 FK Partizan 9 17 19 -2 8
5 Železničar Pančevo 9 14 10 +4 14
6 Radnik Surdulica 10 14 15 -1 14
7 OFK Beograd 10 13 21 -8 9
8 IMT Novi Beograd 10 12 7 +5 15
9 Cukaricki 10 12 18 -6 11
10 Novi Pazar 10 10 11 -1 13
11 Mladost Lucani 10 10 12 -2 16
12 Radnicki NIS 9 6 11 -5 8
13 Macva 10 6 17 -11 8
14 Zemun 10 6 19 -13 3
# TEAM MP xG xGC +/- PTS
1 Vojvodina 10 7.0 1.1 +5.9 22
2 FK Crvena Zvezda 10 5.9 1.2 +4.7 28
3 Radnicki 1923 9 1.9 1.1 +0.8 17
4 FK Partizan 9 3.7 3.1 +0.6 8
5 Cukaricki 10 1.8 1.4 +0.4 11
6 Radnik Surdulica 10 0.8 0.5 +0.3 14
7 Radnicki NIS 9 1.1 0.9 +0.2 8
8 Železničar Pančevo 9 0.9 1.1 -0.2 14
9 IMT Novi Beograd 10 1.4 1.8 -0.4 15
10 Novi Pazar 10 1.1 1.9 -0.8 13
11 OFK Beograd 10 0.3 2.1 -1.8 9
12 Macva 10 0.5 4.7 -4.2 8
13 Zemun 10 1.9 7.4 -5.5 3
14 Mladost Lucani 10 — — — 16