Prediction Audit: Kapaz vs Turan Prediction, Odds & AI Betting Tips

Aug 30, 2026 - 14:00
1 1.18
0 1.42
xG Accuracy: 64%

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

The model had projected Turan at 40.9%, 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Turan Kapaz ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Turan higher than the statistical model.

Largest probability gap: Turan -16.4 pp

Outcome Model Closing Market Difference Signal
Kapaz 29.7% 16.8% +12.9 pp Model Edge
Draw 29.4% 25.9% +3.5 pp Aligned
Turan 40.9% 57.3% -16.4 pp Market Higher

The closing market estimates Turan's win probability at 57.3%, compared with the model's estimate of 40.9%, a difference of 16.4 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: PRE5.

After full time, the result was Kapaz win 1–0.

Market Assessment

The market is materially more optimistic about Turan 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

  • Under 2.5 goals aligned with the xG profile
  • 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
  • 1X2: model leaned Turan; match finished Kapaz

Market lesson

The closing market differed from the model on Turan by 16.4 percentage points (57.3% vs model 40.9%) — 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. Aug 30, 2026 · 13:55 UTC Forecast generated
    • Model 1X2 · Kapaz 29.6% · Draw 29.4% · Turan 41.0%
    • xG · Kapaz 1.18 — Turan 1.42
  2. Aug 30, 2026 · 13:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Kapaz 5.47 · Draw 3.54 · Turan 1.60
    • Implied 1X2 · Kapaz 16.8% · Draw 25.9% · Turan 57.3%
    • Bookmaker · Pinnacle
  3. Aug 30, 2026 · 13:55 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Kapaz 5.47 · Draw 3.54 · Turan 1.60
    • Implied 1X2 · Kapaz 16.8% · Draw 25.9% · Turan 57.3%
    • Bookmaker · Pinnacle
  4. Aug 30, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Kapaz 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: 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) 17/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 03:50 UTC Snapshot ID: dp-5150858

Closing Odds 1.6
AI Fair Odds —
CLV Pending
Final Result Kapaz win · Kapaz 1–0 Turan
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: Premyer Liqa
  • Fixture: Kapaz vs Turan
  • Kickoff: 2026-08-30 14:00:00
  • 1X2 (model): Home 29.6% · Draw 29.4% · Away 41.0%
  • xG (showing): Kapaz 1.18 — Turan 1.42 (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 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

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: 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 29, 2026 (UTC)

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Premyer Liqa Premyer Liqa — Standings
# TEAM MP W D L PTS
1 Neftchi Baku 6 5 0 1 15
2 Sabah FA 5 5 0 0 15
3 Qarabag 5 4 1 0 13
4 Turan 6 3 2 1 11
5 Zira 6 3 1 2 10
6 Keshla FC 6 2 3 1 9
7 Kapaz 5 2 1 2 7
8 Qabala 6 1 1 4 4
9 Mil-Muğan 6 1 1 4 4
10 Safa Baku 6 1 0 5 3
11 Sumqayıt 5 0 2 3 2
12 Araz 6 0 2 4 2
# TEAM MP GS GC +/- PTS
1 Neftchi Baku 6 18 5 +13 15
2 Sabah FA 5 14 1 +13 15
3 Qarabag 5 9 4 +5 13
4 Keshla FC 6 8 6 +2 9
5 Zira 6 7 8 -1 10
6 Turan 6 6 4 +2 11
7 Mil-Muğan 6 6 11 -5 4
8 Araz 6 5 13 -8 2
9 Kapaz 5 4 7 -3 7
10 Sumqayıt 5 4 8 -4 2
11 Qabala 6 2 7 -5 4
12 Safa Baku 6 2 11 -9 3