Predictions / Football / Iran. Azadegan League / Naft Masjed Soleyman vs Naft Bandar Abbas

Prediction Audit: Naft Masjed Soleyman vs Naft Bandar Abbas Prediction, Odds & AI Betting Tips

Sep 22, 2026 - 16:00
0 1.30
1 1.30
xG Accuracy: 64%

The model missed the final outcome (Naft Bandar Abbas win 0–1).

The model had projected Naft Masjed Soleyman 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 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Naft Masjed Soleyman Naft Bandar Abbas ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw -2.4 pp

Outcome Model Closing Market Difference Signal
Naft Masjed Soleyman 35.2% 34.0% +1.2 pp Aligned
Draw 29.6% 32.0% -2.4 pp Aligned
Naft Bandar Abbas 35.2% 34.0% +1.2 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Naft Bandar Abbas win 0–1.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

The full-time result was Naft Bandar Abbas win 0–1, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Sep 22, 2026 · 15:59 UTC Forecast generated
    • Model 1X2 · Naft Masjed Soleyman 35.2% · Draw 29.6% · Naft Bandar Abbas 35.2%
    • xG · Naft Masjed Soleyman 1.30 — Naft Bandar Abbas 1.30
  2. Sep 22, 2026 · 15:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Naft Masjed Soleyman 2.62 · Draw 2.78 · Naft Bandar Abbas 2.62
    • Implied 1X2 · Naft Masjed Soleyman 34.0% · Draw 32.0% · Naft Bandar Abbas 34.0%
    • Bookmaker · Marathonbet
  3. Sep 22, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Naft Masjed Soleyman 2.62 · Draw 2.78 · Naft Bandar Abbas 2.62
    • Implied 1X2 · Naft Masjed Soleyman 34.0% · Draw 32.0% · Naft Bandar Abbas 34.0%
    • Bookmaker · Marathonbet
  4. Sep 22, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Naft Bandar Abbas win · 0–1
  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 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 88/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 16, 2026 · 02:35 UTC Snapshot ID: dp-8989473

Closing Odds 2.78
AI Fair Odds —
CLV Pending
Final Result Naft Bandar Abbas win · Naft Masjed Soleyman 0–1 Naft Bandar Abbas
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

Quick read on how the model reads this matchup.

  • League: Azadegan League
  • Fixture: Naft Masjed Soleyman vs Naft Bandar Abbas
  • Kickoff: 2026-09-22 16:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Naft Masjed Soleyman 1.3 — Naft Bandar Abbas 1.3 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.5% · Implied: 42.9% · Probability edge: +11.6 pts · Est. EV: +18.8%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

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 30, 2026 (UTC)

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Azadegan League Azadegan League — Standings
# TEAM MP W D L PTS
1 Saipa 3 3 0 0 9
2 Ario Eslamshahr 3 2 0 1 6
3 Pars Jonoubi JAM 3 1 2 0 5
4 Fard Alborz 3 1 2 0 5
5 Naft Bandar Abbas 3 1 2 0 5
6 Be'sat Kermanshah 2 1 1 0 4
7 Naft Masjed Soleyman 3 1 0 2 3
8 Shahin Bandar Ameri 3 0 3 0 3
9 Shenavarsazi Qeshm 3 0 3 0 3
10 Niroye Zamini 3 1 0 2 3
11 Mes Rafsanjan 2 0 2 0 2
12 Novin Ahvaz 3 0 2 1 2
13 Mes Kerman 3 0 2 1 2
14 Naft Gachsaran 3 0 2 1 2
15 Mes Soongoun 3 0 2 1 2
16 Havadar 3 0 1 2 1
# TEAM MP GS GC +/- PTS
1 Saipa 3 5 1 +4 9
2 Naft Masjed Soleyman 3 5 4 +1 3
3 Novin Ahvaz 3 4 5 -1 2
4 Be'sat Kermanshah 2 3 0 +3 4
5 Pars Jonoubi JAM 3 3 2 +1 5
6 Ario Eslamshahr 3 3 3 0 6
7 Shahin Bandar Ameri 3 3 3 0 3
8 Fard Alborz 3 2 1 +1 5
9 Naft Bandar Abbas 3 2 1 +1 5
10 Shenavarsazi Qeshm 3 2 2 0 3
11 Niroye Zamini 3 2 3 -1 3
12 Mes Kerman 3 2 3 -1 2
13 Mes Soongoun 3 1 3 -2 2
14 Mes Rafsanjan 2 0 0 0 2
15 Naft Gachsaran 3 0 1 -1 2
16 Havadar 3 0 5 -5 1