Predictions / Football / Serbia. Super Liga / Mladost Lucani vs Radnicki NIS

Prediction Audit: Mladost Lucani vs Radnicki NIS Prediction, Odds & AI Betting Tips

Mladost Lucani Mladost Lucani
Sep 05, 2026 - 18:00
1 1.29
0 1.49
xG Accuracy: 61%
Radnicki NIS Radnicki NIS

The model missed the final outcome (Mladost Lucani win 1–0).

The model had projected Radnicki NIS at 39.0%, 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 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Radnicki NIS Mladost Lucani ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 2-1 1-0 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Radnicki NIS +3.7 pp

Outcome Model Closing Market Difference Signal
Mladost Lucani 32.0% 33.6% -1.6 pp Aligned
Draw 29.0% 31.2% -2.2 pp Aligned
Radnicki NIS 39.0% 35.2% +3.7 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 result was Mladost Lucani win 1–0.

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

  • Exact score 1–0 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 (1 goals)

Market lesson

The full-time result was Mladost Lucani win 1–0, which did not match the model's pre-match lean on 1X2.

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Sep 05, 2026 · 19:54 UTC Forecast generated
    • Model 1X2 · Mladost Lucani 32.0% · Draw 29.0% · Radnicki NIS 39.0%
    • xG · Mladost Lucani 1.29 — Radnicki NIS 1.49
  2. Sep 05, 2026 · 17:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Mladost Lucani 2.73 · Draw 2.94 · Radnicki NIS 2.60
    • Implied 1X2 · Mladost Lucani 33.6% · Draw 31.2% · Radnicki NIS 35.2%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 18:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Mladost Lucani 2.73 · Draw 2.94 · Radnicki NIS 2.60
    • Implied 1X2 · Mladost Lucani 33.6% · Draw 31.2% · Radnicki NIS 35.2%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Mladost Lucani win · 1–0
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 81/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 04:05 UTC Snapshot ID: dp-6166348

Closing Odds 2.6
AI Fair Odds —
CLV Pending
Final Result Mladost Lucani win · Mladost Lucani 1–0 Radnicki NIS
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

Pre-match snapshot for this fixture.

  • League: Super Liga
  • Fixture: Mladost Lucani vs Radnicki NIS
  • Kickoff: 2026-09-05 18:00:00
  • 1X2 (model): Home 32.0% · Draw 29.0% · Away 39.0%
  • xG (showing): Mladost Lucani 1.29 — Radnicki NIS 1.49 (total xG ≈ 2.78)
  • 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 47.4% · Over 2.5 52.6%); BTTS Yes (Yes 57.7% · No 42.3%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 57.7% · No 42.3%
  • Correct score (top bin): 1-1 (11.9%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

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

September 29, 2026 (UTC)

Related Predictions

See Upcoming Super Liga Matches Track Mladost Lucani Next Match Prediction Track Radnicki NIS Next Match Prediction View Today's Football Predictions

Get Premium Predictions for Mladost Lucani & Radnicki NIS!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now
Back to Predictions
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