Prediction Audit: KuPS vs Vardar Skopje Prediction, Odds & AI Betting Tips

Jul 14, 2026 - 15:00
2 1.29
3 1.31
xG Accuracy: 58%

The model missed the final outcome (Vardar Skopje win 2–3).

The model had projected KuPS at 46.7%, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 KuPS Vardar Skopje ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices KuPS higher than the statistical model.

Largest probability gap: KuPS -15.7 pp

Outcome Model Closing Market Difference Signal
KuPS 46.7% 62.4% -15.7 pp Market Higher
Draw 26.9% 21.6% +5.3 pp Model Higher
Vardar Skopje 26.3% 16.0% +10.4 pp Model Edge

The closing market estimates KuPS's win probability at 62.4%, compared with the model's estimate of 46.7%, a difference of 15.7 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 result was Vardar Skopje win 2–3.

Market Assessment

The market is materially more optimistic about KuPS 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) — 5 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 (5 goals)
  • 1X2: model leaned KuPS; match finished Vardar Skopje

Market lesson

The closing market differed from the model on KuPS by 15.7 percentage points (62.4% vs model 46.7%) — 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 14, 2026 · 19:27 UTC Forecast generated
    • Model 1X2 · KuPS 46.7% · Draw 26.9% · Vardar Skopje 26.3%
    • xG · KuPS 1.29 — Vardar Skopje 1.31
  2. Jul 14, 2026 · 14:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · KuPS 1.49 · Draw 4.30 · Vardar Skopje 5.82
    • Implied 1X2 · KuPS 62.4% · Draw 21.6% · Vardar Skopje 16.0%
    • Bookmaker · Pinnacle
  3. Jul 14, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · KuPS 1.49 · Draw 4.30 · Vardar Skopje 5.82
    • Implied 1X2 · KuPS 62.4% · Draw 21.6% · Vardar Skopje 16.0%
    • Bookmaker · Pinnacle
  4. Jul 14, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Vardar Skopje win · 2–3
  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 (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 21/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 15:41 UTC Snapshot ID: dp-1469435

Closing Odds 1.49
AI Fair Odds —
CLV Pending
Final Result Vardar Skopje win · KuPS 2–3 Vardar Skopje
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: UEFA Champions League
  • Fixture: KuPS vs Vardar Skopje
  • Kickoff: 2026-07-14 15:00:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): KuPS 1.29 — Vardar Skopje 1.31 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

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

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 30, 2026 (UTC)

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UEFA Champions League UEFA Champions League — Standings
# TEAM MP W D L PTS
1 Paris Saint Germain 1 1 0 0 3
2 Bayern München 1 1 0 0 3
3 Barcelona 1 1 0 0 3
4 Manchester United 1 1 0 0 3
5 Como 1 1 0 0 3
6 VfB Stuttgart 1 1 0 0 3
7 Sporting CP 1 1 0 0 3
8 Manchester City 1 1 0 0 3
9 Aston Villa 1 1 0 0 3
10 Lens 1 1 0 0 3
11 Real Betis 1 1 0 0 3
12 Borussia Dortmund 1 1 0 0 3
13 Liverpool 1 1 0 0 3
14 Real Madrid 1 1 0 0 3
15 Arsenal 1 1 0 0 3
16 AEK Athens FC 1 1 0 0 3
17 AS Roma 1 0 1 0 1
18 Shakhtar Donetsk 1 0 1 0 1
19 PSV Eindhoven 1 0 1 0 1
20 Fenerbahce 1 0 1 0 1
21 Villarreal 1 0 0 1 0
22 Lille 1 0 0 1 0
23 Slavia Praha 1 0 0 1 0
24 Club Brugge KV 1 0 0 1 0
25 Inter 1 0 0 1 0
26 Atletico Madrid 1 0 0 1 0
27 Napoli 1 0 0 1 0
28 Lask Linz 1 0 0 1 0
29 Viking 1 0 0 1 0
30 Galatasaray 1 0 0 1 0
31 FC Porto 1 0 0 1 0
32 RB Leipzig 1 0 0 1 0
33 Feyenoord 1 0 0 1 0
34 Sabah FA 1 0 0 1 0
35 Slovan Bratislava 1 0 0 1 0
36 Bodo/Glimt 1 0 0 1 0
# TEAM MP GS GC +/- PTS
1 Paris Saint Germain 1 6 1 +5 3
2 Bayern München 1 5 0 +5 3
3 Barcelona 1 5 1 +4 3
4 Manchester United 1 4 0 +4 3
5 Como 1 4 1 +3 3
6 VfB Stuttgart 1 3 1 +2 3
7 Sporting CP 1 3 1 +2 3
8 Aston Villa 1 3 2 +1 3
9 Lens 1 3 2 +1 3
10 Real Betis 1 3 2 +1 3
11 Borussia Dortmund 1 3 2 +1 3
12 Manchester City 1 2 0 +2 3
13 Liverpool 1 2 1 +1 3
14 Real Madrid 1 2 1 +1 3
15 Villarreal 1 2 3 -1 0
16 Lille 1 2 3 -1 0
17 Slavia Praha 1 2 3 -1 0
18 Club Brugge KV 1 2 3 -1 0
19 Arsenal 1 1 0 +1 3
20 AEK Athens FC 1 1 0 +1 3
21 AS Roma 1 1 1 0 1
22 Shakhtar Donetsk 1 1 1 0 1
23 PSV Eindhoven 1 1 1 0 1
24 Fenerbahce 1 1 1 0 1
25 Inter 1 1 2 -1 0
26 Atletico Madrid 1 1 2 -1 0
27 Viking 1 1 3 -2 0
28 Galatasaray 1 1 3 -2 0
29 RB Leipzig 1 1 4 -3 0
30 Feyenoord 1 1 5 -4 0
31 Slovan Bratislava 1 1 6 -5 0
32 Napoli 1 0 1 -1 0
33 Lask Linz 1 0 1 -1 0
34 FC Porto 1 0 2 -2 0
35 Sabah FA 1 0 4 -4 0
36 Bodo/Glimt 1 0 5 -5 0
# TEAM MP xG xGC +/- PTS
1 Manchester City 1 2.3 0.3 +2.0 3
2 Aston Villa 1 3.2 1.5 +1.7 3
3 Borussia Dortmund 1 2.8 1.3 +1.5 3
4 Real Madrid 1 2.9 1.8 +1.1 3
5 Real Betis 1 1.8 0.8 +1.0 3
6 AEK Athens FC 1 1.7 0.7 +1.0 3
7 Liverpool 1 1.6 0.9 +0.7 3
8 Sporting CP 1 1.8 1.2 +0.6 3
9 Galatasaray 1 1.2 1.8 -0.6 0
10 Atletico Madrid 1 0.9 1.6 -0.7 0
11 Lille 1 0.8 1.8 -1.0 0
12 Lask Linz 1 0.7 1.7 -1.0 0
13 Inter 1 1.8 2.9 -1.1 0
14 Villarreal 1 1.3 2.8 -1.5 0
15 Club Brugge KV 1 1.5 3.2 -1.7 0
16 FC Porto 1 0.3 2.3 -2.0 0
17 Paris Saint Germain 1 — — — 3
18 Bayern München 1 — — — 3
19 Barcelona 1 — — — 3
20 Manchester United 1 — — — 3
21 Como 1 — — — 3
22 VfB Stuttgart 1 — — — 3
23 Lens 1 — — — 3
24 Arsenal 1 — — — 3
25 AS Roma 1 — — — 1
26 Shakhtar Donetsk 1 — — — 1
27 PSV Eindhoven 1 — — — 1
28 Fenerbahce 1 — — — 1
29 Slavia Praha 1 — — — 0
30 Napoli 1 — — — 0
31 Viking 1 — — — 0
32 RB Leipzig 1 — — — 0
33 Feyenoord 1 — — — 0
34 Sabah FA 1 — — — 0
35 Slovan Bratislava 1 — — — 0
36 Bodo/Glimt 1 — — — 0