Predictions / Football / Uzbekistan. Super League / Pakhtakor vs Lokomotiv

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

Jul 17, 2026 - 15:00
1 1.55
1 1.05
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Pakhtakor at 50.3%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (2 goals) ✔ Correct
  • 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 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Pakhtakor higher than the statistical model.

Largest probability gap: Pakhtakor -8.3 pp

Outcome Model Closing Market Difference Signal
Pakhtakor 50.3% 58.6% -8.3 pp Market Higher
Draw 27.4% 23.7% +3.7 pp Aligned
Lokomotiv 22.3% 17.7% +4.7 pp Aligned

The closing market estimates Pakhtakor's win probability at 58.6%, compared with the model's estimate of 50.3%, a difference of 8.3 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 Draw 1–1.

Market Assessment

The market and model broadly agree on Pakhtakor. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Pakhtakor; match finished Draw

Market lesson

The closing market differed from the model on Pakhtakor by 8.3 percentage points (58.6% vs model 50.3%) — 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. Jul 17, 2026 · 19:29 UTC Forecast generated
    • Model 1X2 · Pakhtakor 50.3% · Draw 27.4% · Lokomotiv 22.3%
    • xG · Pakhtakor 1.55 — Lokomotiv 1.05
  2. Jul 17, 2026 · 14:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Pakhtakor 1.58 · Draw 3.91 · Lokomotiv 5.24
    • Implied 1X2 · Pakhtakor 58.6% · Draw 23.7% · Lokomotiv 17.7%
    • Bookmaker · Pinnacle
  3. Jul 17, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Pakhtakor 1.58 · Draw 3.91 · Lokomotiv 5.24
    • Implied 1X2 · Pakhtakor 58.6% · Draw 23.7% · Lokomotiv 17.7%
    • Bookmaker · Pinnacle
  4. Jul 17, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 58/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 02:53 UTC Snapshot ID: dp-1538780

Closing Odds 1.58
AI Fair Odds —
CLV Pending
Final Result Draw · Pakhtakor 1–1 Lokomotiv
Prediction ✖ Missed
Decision Grade C

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: Uzbekistan Super League
  • Fixture: Pakhtakor vs Lokomotiv
  • Kickoff: 2026-07-17 15:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Pakhtakor 1.55 — Lokomotiv 1.05 (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

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: No Primary Bet

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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Back to Predictions
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