Predictions / Football / Iraq. Iraqi League / Al Kahrabaa vs Gharraf

Prediction Audit: Al Kahrabaa vs Gharraf Prediction, Odds & AI Betting Tips

Sep 03, 2026 - 18:00
0 1.30
0 1.30
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected Al Kahrabaa at 35.2%, 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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Al Kahrabaa Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Gharraf considerably stronger than the closing betting market.

Largest probability gap: Gharraf +5.7 pp

Outcome Model Closing Market Difference Signal
Al Kahrabaa 35.2% 40.4% -5.2 pp Market Higher
Draw 29.6% 30.1% -0.5 pp Aligned
Gharraf 35.2% 29.4% +5.7 pp Model Higher

The statistical model estimates Gharraf's win probability at 35.2%, compared with the closing market's implied probability of 29.4%, a difference of 5.7 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 0–0.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Gharraf.

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

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Al Kahrabaa; match finished Draw

Market lesson

The closing market differed from the model on Al Kahrabaa by 5.7 percentage points (29.5% vs model 35.2%) — 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. Sep 03, 2026 · 17:59 UTC Forecast generated
    • Model 1X2 · Al Kahrabaa 35.2% · Draw 29.6% · Gharraf 35.2%
    • xG · Al Kahrabaa 1.30 — Gharraf 1.30
  2. Sep 03, 2026 · 17:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Al Kahrabaa 2.20 · Draw 2.95 · Gharraf 3.02
    • Implied 1X2 · Al Kahrabaa 40.4% · Draw 30.1% · Gharraf 29.4%
    • Bookmaker · Pinnacle
  3. Sep 03, 2026 · 17:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Al Kahrabaa 2.20 · Draw 2.95 · Gharraf 3.02
    • Implied 1X2 · Al Kahrabaa 40.4% · Draw 30.1% · Gharraf 29.4%
    • Bookmaker · Pinnacle
  4. Sep 03, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 71/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 28, 2026 · 07:29 UTC Snapshot ID: dp-5769603

Closing Odds 3.02
AI Fair Odds
CLV Pending
Final Result Draw · Al Kahrabaa 0–0 Gharraf
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Iraqi League
  • Fixture: Al Kahrabaa vs Gharraf
  • Kickoff: 2026-09-03 18:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Al Kahrabaa 1.3 — Gharraf 1.3 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

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 16, 2026 (UTC)

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