Prediction Audit: Pakhtakor vs Buxoro Prediction, Odds & AI Betting Tips

Aug 06, 2026 - 15:00
2 1.53
2 1.07
xG Accuracy: 68%

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

The model had projected Pakhtakor at 46.3%, 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 Pakhtakor Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Pakhtakor higher than the statistical model.

Largest probability gap: Pakhtakor -17.6 pp

Outcome Model Closing Market Difference Signal
Pakhtakor 46.3% 64.0% -17.6 pp Market Higher
Draw 28.7% 21.6% +7.1 pp Model Higher
Buxoro 25.0% 14.4% +10.6 pp Model Edge

The closing market estimates Pakhtakor's win probability at 64.0%, compared with the model's estimate of 46.3%, a difference of 17.6 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 Pakhtakor 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 Pakhtakor; match finished Draw

Market lesson

The closing market differed from the model on Pakhtakor by 17.6 percentage points (63.9% vs model 46.3%) — 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 06, 2026 · 14:59 UTC Forecast generated
    • Model 1X2 · Pakhtakor 46.3% · Draw 28.7% · Buxoro 24.9%
    • xG · Pakhtakor 1.53 — Buxoro 1.07
  2. Aug 06, 2026 · 14:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Pakhtakor 1.45 · Draw 4.29 · Buxoro 6.44
    • Implied 1X2 · Pakhtakor 64.0% · Draw 21.6% · Buxoro 14.4%
    • Bookmaker · Pinnacle
  3. Aug 06, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Pakhtakor 1.45 · Draw 4.29 · Buxoro 6.44
    • Implied 1X2 · Pakhtakor 64.0% · Draw 21.6% · Buxoro 14.4%
    • Bookmaker · Pinnacle
  4. Aug 06, 2026 · 15:00 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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 11/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 02:04 UTC Snapshot ID: dp-2557592

Closing Odds 1.45
AI Fair Odds —
CLV Pending
Final Result Draw · Pakhtakor 2–2 Buxoro
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 League
  • Fixture: Pakhtakor vs Buxoro
  • Kickoff: 2026-08-06 15:00:00
  • 1X2 (model): Home 46.3% · Draw 28.7% · Away 24.9%
  • xG (showing): Pakhtakor 1.53 — Buxoro 1.07 (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 53.0% · No 46.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.0% · No 46.9%
  • Correct score (top bin): 1-1 (12.2%)

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 29, 2026 (UTC)

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Super League Super League — Standings
# TEAM MP W D L PTS
1 Neftchi 22 16 3 3 51
2 Pakhtakor 22 14 7 1 49
3 Navbahor 22 13 5 4 44
4 Olmaliq 22 10 5 7 35
5 Lokomotiv 22 10 5 7 35
6 Nasaf 22 9 7 6 34
7 Buxoro 22 10 4 8 34
8 Andijan 22 9 3 10 30
9 Dinamo Samarqand 22 8 6 8 30
10 Qizilqum 22 9 2 11 29
11 Sogdiana 22 8 4 10 28
12 Surkhon 22 7 5 10 26
13 Bunyodkor 22 7 1 14 22
14 Xorazm 22 5 6 11 21
15 Kokand-1912 22 4 8 10 20
16 Mash'al 22 1 1 20 4
# TEAM MP GS GC +/- PTS
1 Neftchi 22 50 17 +33 51
2 Pakhtakor 22 39 20 +19 49
3 Navbahor 22 39 21 +18 44
4 Sogdiana 22 38 43 -5 28
5 Lokomotiv 22 36 28 +8 35
6 Nasaf 22 33 21 +12 34
7 Dinamo Samarqand 22 33 34 -1 30
8 Buxoro 22 32 29 +3 34
9 Olmaliq 22 31 29 +2 35
10 Andijan 22 27 28 -1 30
11 Qizilqum 22 23 30 -7 29
12 Bunyodkor 22 22 36 -14 22
13 Surkhon 22 19 28 -9 26
14 Kokand-1912 22 19 30 -11 20
15 Xorazm 22 18 32 -14 21
16 Mash'al 22 11 44 -33 4