Predictions / Football / Uzbekistan. Super League / Sogdiana vs Qizilqum

Prediction Audit: Sogdiana vs Qizilqum Prediction, Odds & AI Betting Tips

Sogdiana Sogdiana
Aug 18, 2026 - 14:00
2 1.41
1 1.19
xG Accuracy: 81%
Qizilqum Qizilqum

AI correctly predicted the Sogdiana win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Sogdiana Sogdiana ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Sogdiana higher than the statistical model.

Largest probability gap: Sogdiana -12.1 pp

Outcome Model Closing Market Difference Signal
Sogdiana 40.4% 52.5% -12.1 pp Market Higher
Draw 29.4% 26.4% +3.0 pp Aligned
Qizilqum 30.1% 21.1% +9.1 pp Model Higher

The closing market estimates Sogdiana's win probability at 52.5%, compared with the model's estimate of 40.4%, a difference of 12.1 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 model's directional lean matched the result (Sogdiana win 2–1).

Market Assessment

The market is materially more optimistic about Sogdiana 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) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Sogdiana higher (52.5% vs model 40.4%, 12.1 pp), but the model's lean was validated (Sogdiana win 2–1).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 18, 2026 · 13:59 UTC Forecast generated
    • Model 1X2 · Sogdiana 40.5% · Draw 29.4% · Qizilqum 30.1%
    • xG · Sogdiana 1.41 — Qizilqum 1.19
  2. Aug 18, 2026 · 13:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sogdiana 1.79 · Draw 3.56 · Qizilqum 4.46
    • Implied 1X2 · Sogdiana 52.5% · Draw 26.4% · Qizilqum 21.1%
    • Bookmaker · Pinnacle
  3. Aug 18, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sogdiana 1.79 · Draw 3.56 · Qizilqum 4.46
    • Implied 1X2 · Sogdiana 52.5% · Draw 26.4% · Qizilqum 21.1%
    • Bookmaker · Pinnacle
  4. Aug 18, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Sogdiana win · 2–1
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 39/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 12, 2026 · 02:06 UTC Snapshot ID: dp-3727386

Closing Odds 1.79
AI Fair Odds —
CLV Pending
Final Result Sogdiana win · Sogdiana 2–1 Qizilqum
Prediction ✔ Correct
Decision Grade B-

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: Super League
  • Fixture: Sogdiana vs Qizilqum
  • Kickoff: 2026-08-18 14:00:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): Sogdiana 1.41 — Qizilqum 1.19 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.0%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • 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 54.2% · No 45.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.2% · No 45.8%
  • Correct score (top bin): 1-1 (12.5%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against 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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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