Predictions / Football / India. IFA Shield / ATK Mohun Bagan vs Sreenidi Deccan

Prediction Audit: ATK Mohun Bagan vs Sreenidi Deccan Prediction, Odds & AI Betting Tips

ATK Mohun Bagan ATK Mohun Bagan
Sep 23, 2026 - 09:30
6 1.43
0 1.17
xG Accuracy: 21%
Sreenidi Deccan Sreenidi Deccan

AI correctly predicted the ATK Mohun Bagan win.

The match finished 6–0, validating the model's directional assessment.

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 Over 2.5 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 ATK Mohun Bagan ATK Mohun Bagan ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 6-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices ATK Mohun Bagan higher than the statistical model.

Largest probability gap: ATK Mohun Bagan -38.1 pp

Outcome Model Closing Market Difference Signal
ATK Mohun Bagan 41.4% 79.5% -38.1 pp Market Higher
Draw 29.4% 12.9% +16.4 pp Model Edge
Sreenidi Deccan 29.2% 7.5% +21.7 pp Model Edge

The closing market estimates ATK Mohun Bagan's win probability at 79.5%, compared with the model's estimate of 41.4%, a difference of 38.1 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 (ATK Mohun Bagan win 6–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced ATK Mohun Bagan higher (79.5% vs model 41.4%, 38.1 pp), but the model's lean was validated (ATK Mohun Bagan win 6–0).

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Prediction Timeline

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

  1. Sep 23, 2026 · 09:29 UTC Forecast generated
    • Model 1X2 · ATK Mohun Bagan 41.4% · Draw 29.4% · Sreenidi Deccan 29.3%
    • xG · ATK Mohun Bagan 1.43 — Sreenidi Deccan 1.17
  2. Sep 23, 2026 · 08:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · ATK Mohun Bagan 1.14 · Draw 7.00 · Sreenidi Deccan 12.00
    • Implied 1X2 · ATK Mohun Bagan 79.5% · Draw 12.9% · Sreenidi Deccan 7.5%
    • Bookmaker · Bet365
  3. Sep 23, 2026 · 09:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · ATK Mohun Bagan 1.14 · Draw 7.00 · Sreenidi Deccan 12.00
    • Implied 1X2 · ATK Mohun Bagan 79.5% · Draw 12.9% · Sreenidi Deccan 7.5%
    • Bookmaker · Bet365
  4. Sep 23, 2026 · 09:30 UTC Kickoff
  5. FT Full-time result ATK Mohun Bagan win · 6–0
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 30/100 · Low
  • Validation: Fail
  • Large market gap (38 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 8/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 18, 2026 · 01:11 UTC Snapshot ID: dp-9332293

Closing Odds 1.14
AI Fair Odds —
CLV Pending
Final Result ATK Mohun Bagan win · ATK Mohun Bagan 6–0 Sreenidi Deccan
Prediction ✔ Correct
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

Model favours ATK Mohun Bagan; market prices ATK Mohun Bagan instead — inputs may be missing or stale.

  • Model: ATK Mohun Bagan 1.43 xG vs Sreenidi Deccan 1.17 → ATK Mohun Bagan 41.4%
  • Market: ATK Mohun Bagan ~79.5% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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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