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

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

Vojvodina Vojvodina
Aug 03, 2026 - 17:00
2 1.71
0 1.32
xG Accuracy: 64%
Macva Macva

AI correctly predicted the Vojvodina win.

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

Model vs Closing Market

Strong Disagreement

The closing market prices Vojvodina higher than the statistical model.

Largest probability gap: Vojvodina -37.7 pp

Outcome Model Closing Market Difference Signal
Vojvodina 45.2% 82.9% -37.7 pp Market Higher
Draw 26.5% 10.9% +15.6 pp Model Edge
Macva 28.3% 6.2% +22.1 pp Model Edge

The closing market estimates Vojvodina's win probability at 82.9%, compared with the model's estimate of 45.2%, a difference of 37.7 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: PRE1.

After full time, the model's directional lean matched the result (Vojvodina win 2–0).

Post Match Insights

What worked

  • Vojvodina attacking xG significantly stronger (1.71 vs 1.32)
  • Exact score 2–0 fell within the model's highlighted bins

What failed

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

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Vojvodina higher (82.9% vs model 45.2%, 37.7 pp), but the model's lean was validated (Vojvodina win 2–0).

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Prediction Timeline

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

  1. Aug 03, 2026 · 16:59 UTC Forecast generated
    • Model 1X2 · Vojvodina 45.2% · Draw 26.5% · Macva 28.2%
    • xG · Vojvodina 1.71 — Macva 1.32
  2. Aug 03, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vojvodina 1.11 · Draw 8.43 · Macva 14.97
    • Implied 1X2 · Vojvodina 82.9% · Draw 10.9% · Macva 6.2%
    • Bookmaker · Pinnacle
  3. Aug 03, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Vojvodina 1.11 · Draw 8.43 · Macva 14.97
    • Implied 1X2 · Vojvodina 82.9% · Draw 10.9% · Macva 6.2%
    • Bookmaker · Pinnacle
  4. Aug 03, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Vojvodina win · 2–0
  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 30/100 · Low
  • Validation: Fail
  • Large market gap (38 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 8/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 04:45 UTC Snapshot ID: dp-1819445

Closing Odds 1.11
AI Fair Odds —
CLV Pending
Final Result Vojvodina win · Vojvodina 2–0 Macva
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

Model favours Vojvodina; market prices Vojvodina instead — inputs may be missing or stale.

  • Model: Vojvodina 1.71 xG vs Macva 1.32 → Vojvodina 45.2%
  • Market: Vojvodina ~82.9% 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 Over 2.5 (Under 2.5 41.6% · Over 2.5 58.4%); BTTS Yes (Yes 61.5% · No 38.6%) Value lean (pricing): O/U 2.5 Over 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 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