Predictions / Football / Iraq. Iraqi League / Zakho vs Ghaz Al Shamal

Prediction Audit: Zakho vs Ghaz Al Shamal Prediction, Odds & AI Betting Tips

Zakho Zakho
Aug 15, 2026 - 15:30
1 1.37
0 1.23
xG Accuracy: 64%
⚽
Ghaz Al Shamal

AI correctly predicted the Zakho win.

The match finished 1–0, 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Zakho Zakho ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Zakho higher than the statistical model.

Largest probability gap: Zakho -16.4 pp

Outcome Model Closing Market Difference Signal
Zakho 38.5% 54.9% -16.4 pp Market Higher
Draw 29.6% 26.1% +3.5 pp Aligned
Ghaz Al Shamal 31.9% 19.0% +12.9 pp Model Edge

The closing market estimates Zakho's win probability at 54.9%, compared with the model's estimate of 38.5%, 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: PRE1.

After full time, the model's directional lean matched the result (Zakho win 1–0).

Market Assessment

The market is materially more optimistic about Zakho 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

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Zakho higher (54.9% vs model 38.5%, 16.4 pp), but the model's lean was validated (Zakho win 1–0).

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Prediction Timeline

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

  1. Aug 15, 2026 · 15:32 UTC Forecast generated
    • Model 1X2 · Zakho 38.5% · Draw 29.6% · Ghaz Al Shamal 31.9%
    • xG · Zakho 1.37 — Ghaz Al Shamal 1.23
  2. Aug 15, 2026 · 15:22 UTC Opening odds snapshot PRE10
    • 1X2 odds · Zakho 1.62 · Draw 3.41 · Ghaz Al Shamal 4.67
    • Implied 1X2 · Zakho 54.9% · Draw 26.1% · Ghaz Al Shamal 19.0%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 15:32 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Zakho 1.62 · Draw 3.41 · Ghaz Al Shamal 4.67
    • Implied 1X2 · Zakho 54.9% · Draw 26.1% · Ghaz Al Shamal 19.0%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 15:30 UTC Kickoff
  5. FT Full-time result Zakho win · 1–0
  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 55/100 · Moderate
  • Validation: Warning
  • Large market gap (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 18/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 15, 2026 · 01:40 UTC Snapshot ID: dp-4029111

Closing Odds 1.62
AI Fair Odds —
CLV Pending
Final Result Zakho win · Zakho 1–0 Ghaz Al Shamal
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

Quick read on how the model reads this matchup.

  • League: Iraqi League
  • Fixture: Zakho vs Ghaz Al Shamal
  • Kickoff: 2026-08-15 15:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Zakho 1.37 — Ghaz Al Shamal 1.23 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • 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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 29, 2026 (UTC)

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Iraqi League Iraqi League — Standings
# TEAM MP W D L PTS
1 Al-Karma 8 6 2 0 20
2 Al Zawra'a 8 5 3 0 18
3 Erbil 8 5 2 1 17
4 Newroz 8 4 3 1 15
5 Al Shorta 8 4 3 1 15
6 Naft 8 4 3 1 15
7 Al-Jolan SC 8 2 4 2 10
8 Duhok 8 1 6 1 9
9 Diyala 8 2 3 3 9
10 Al Minaa Basra 8 2 3 3 9
11 Zakho 8 2 3 3 9
12 Al Quwa Al Jawiya 8 1 5 2 8
13 Ghaz Al Shamal 8 1 5 2 8
14 Mosul 8 2 2 4 8
15 Al Karkh 8 2 1 5 7
16 Al Kahrabaa 8 1 4 3 7
17 Al Talaba 8 1 4 3 7
18 Naft Maysan 8 1 4 3 7
19 Gharraf 8 1 2 5 5
20 Karbala 8 1 2 5 5
# TEAM MP GS GC +/- PTS
1 Al Zawra'a 8 15 3 +12 18
2 Al-Karma 8 14 5 +9 20
3 Newroz 8 13 4 +9 15
4 Diyala 8 13 14 -1 9
5 Erbil 8 12 3 +9 17
6 Duhok 8 11 11 0 9
7 Al Quwa Al Jawiya 8 11 12 -1 8
8 Al Karkh 8 10 14 -4 7
9 Al Shorta 8 9 4 +5 15
10 Naft 8 9 5 +4 15
11 Mosul 8 9 12 -3 8
12 Al Talaba 8 9 14 -5 7
13 Al-Jolan SC 8 8 9 -1 10
14 Al Minaa Basra 8 8 10 -2 9
15 Zakho 8 7 11 -4 9
16 Al Kahrabaa 8 6 10 -4 7
17 Naft Maysan 8 6 11 -5 7
18 Karbala 8 6 15 -9 5
19 Ghaz Al Shamal 8 4 5 -1 8
20 Gharraf 8 4 12 -8 5