Prediction Audit: Karvan vs Qabala Prediction, Odds & AI Betting Tips

May 15, 2026 - 13:00
1 1.45
2 1.25
xG Accuracy: 72%

The model missed the final outcome (Qabala win 1–2).

The model had projected Karvan at 41.8%, 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 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Karvan Qabala ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Qabala higher than the statistical model.

Largest probability gap: Qabala -18.3 pp

Outcome Model Closing Market Difference Signal
Karvan 41.8% 24.4% +17.3 pp Model Edge
Draw 25.7% 24.6% +1.0 pp Aligned
Qabala 32.6% 50.9% -18.3 pp Market Higher

The closing market estimates Qabala's win probability at 50.9%, compared with the model's estimate of 32.6%, a difference of 18.3 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 Qabala win 1–2.

Market Assessment

The market is materially more optimistic about Qabala 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 2.70) — 3 goals materialised
  • Over 2.5 goals aligned with the xG profile
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 1X2: model leaned Karvan; match finished Qabala

Market lesson

The closing market differed from the model on Karvan by 18.3 percentage points (60.1% vs model 41.8%) — 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. May 16, 2026 · 12:59 UTC Forecast generated
    • Model 1X2 · Karvan 41.8% · Draw 25.7% · Qabala 32.6%
    • xG · Karvan 1.45 — Qabala 1.25
  2. May 16, 2026 · 12:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Karvan 3.79 · Draw 3.76 · Qabala 1.82
    • Implied 1X2 · Karvan 24.4% · Draw 24.6% · Qabala 50.9%
    • Bookmaker · Pinnacle
  3. May 16, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Karvan 3.79 · Draw 3.76 · Qabala 1.82
    • Implied 1X2 · Karvan 24.4% · Draw 24.6% · Qabala 50.9%
    • Bookmaker · Pinnacle
  4. May 15, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Qabala win · 1–2
  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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 2/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 22:38 UTC Snapshot ID: dp-1652754

Closing Odds 1.82
AI Fair Odds 2.39
CLV Pending
Final Result Qabala win · Karvan 1–2 Qabala
Prediction ✖ Missed
Decision Grade F

Probability Calibration

  • Expected: 41.8%
  • Historical Bucket: 40–45% — Actual 0.0% (n=2)

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: Premyer Liqa
  • Fixture: Karvan vs Qabala
  • Kickoff: 2026-05-16 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Karvan 1.45 — Qabala 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 75.0% · Implied: 52.9% · Probability edge: +22.1 pts · Est. EV: +35.0%
  • BTTS (model): Yes 25.0% · No 75.0%
  • Correct score (top bin): 1-1 (12.5%)

Totals and BTTS are evaluated against current market prices where available.

Correct score remains high-variance even when a line is most likely on paper.

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

October 03, 2026 (UTC)

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Premyer Liqa Premyer Liqa — Standings
# TEAM MP W D L PTS
1 Sabah FA 33 24 6 3 78
2 Qarabag 33 21 6 6 69
3 Turan 33 17 8 8 59
4 Neftchi Baku 33 16 11 6 59
5 Zira 33 13 14 6 53
6 Araz 33 13 7 13 46
7 Sumqayıt 33 12 5 16 41
8 Keshla FC 33 9 11 13 38
9 Mil-Muğan 33 7 13 13 34
10 Kapaz 33 8 3 22 27
11 Qabala 33 7 6 20 27
12 Karvan 33 3 6 24 15
# TEAM MP GS GC +/- PTS
1 Sabah FA 33 75 25 +50 78
2 Qarabag 33 71 27 +44 69
3 Neftchi Baku 33 57 32 +25 59
4 Sumqayıt 33 45 49 -4 41
5 Turan 33 44 27 +17 59
6 Araz 33 44 58 -14 46
7 Zira 33 43 36 +7 53
8 Qabala 33 32 49 -17 27
9 Keshla FC 33 31 40 -9 38
10 Kapaz 33 25 61 -36 27
11 Mil-Muğan 33 23 43 -20 34
12 Karvan 33 23 66 -43 15