Predictions / Football / Slovenia. 1. SNL / Koper vs Radomlje

Prediction Audit: Koper vs Radomlje Prediction, Odds & AI Betting Tips

Jul 26, 2026 - 18:15
2 1.48
2 1.12
xG Accuracy: 68%

The model missed the final outcome (Draw 2–2).

The model had projected Koper at 49.7%, 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 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Koper Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Koper higher than the statistical model.

Largest probability gap: Koper -15.1 pp

Outcome Model Closing Market Difference Signal
Koper 49.7% 64.8% -15.1 pp Market Higher
Draw 26.1% 17.7% +8.3 pp Model Higher
Radomlje 24.2% 17.5% +6.8 pp Model Higher

The closing market estimates Koper's win probability at 64.8%, compared with the model's estimate of 49.7%, a difference of 15.1 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 result was Draw 2–2.

Market Assessment

The market is materially more optimistic about Koper than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • 1X2: model leaned Koper; match finished Draw

Market lesson

The closing market differed from the model on Koper by 15.1 percentage points (64.8% vs model 49.7%) — 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. Jul 26, 2026 · 20:20 UTC Forecast generated
    • Model 1X2 · Koper 49.7% · Draw 26.0% · Radomlje 24.3%
    • xG · Koper 1.48 — Radomlje 1.12
  2. Jul 26, 2026 · 17:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Koper 1.46 · Draw 5.34 · Radomlje 5.41
    • Implied 1X2 · Koper 64.8% · Draw 17.7% · Radomlje 17.5%
    • Bookmaker · Pinnacle
  3. Jul 26, 2026 · 18:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Koper 1.46 · Draw 5.34 · Radomlje 5.41
    • Implied 1X2 · Koper 64.8% · Draw 17.7% · Radomlje 17.5%
    • Bookmaker · Pinnacle
  4. Jul 26, 2026 · 18:15 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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 55/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 24/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:59 UTC Snapshot ID: dp-1454547

Closing Odds 1.46
AI Fair Odds —
CLV Pending
Final Result Draw · Koper 2–2 Radomlje
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

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

  • League: Slovenian PrvaLiga
  • Fixture: Koper vs Radomlje
  • Kickoff: 2026-07-26 18:15:00
  • 1X2 (model): Home 49.7% · Draw 26.0% · Away 24.3%
  • xG (showing): Koper 1.48 — Radomlje 1.12 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.6% · No 46.4%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.6% · No 46.4%
  • Correct score (top bin): 1-1 (12.3%)

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: 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

September 28, 2026 (UTC)

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Back to Predictions
1. SNL 1. SNL — Standings
# TEAM MP W D L PTS
1 Maribor 10 5 5 0 20
2 Koper 10 5 3 2 18
3 Bravo 10 5 3 2 18
4 Olimpija Ljubljana 10 4 2 4 14
5 Aluminij 10 3 4 3 13
6 Nafta 10 4 1 5 13
7 Celje 9 3 3 3 12
8 Brinje-Grosuplje 10 3 2 5 11
9 Mura 10 2 3 5 9
10 Radomlje 9 1 2 6 5
# TEAM MP GS GC +/- PTS
1 Maribor 10 19 8 +11 20
2 Nafta 10 17 16 +1 13
3 Aluminij 10 16 11 +5 13
4 Brinje-Grosuplje 10 14 18 -4 11
5 Bravo 10 12 10 +2 18
6 Koper 10 11 8 +3 18
7 Celje 9 11 11 0 12
8 Olimpija Ljubljana 10 10 8 +2 14
9 Mura 10 10 21 -11 9
10 Radomlje 9 9 18 -9 5