Predictions / Football / India. Calcutta Premier Division / Peerless vs Police

Prediction Audit: Peerless vs Police Prediction, Odds & AI Betting Tips

Peerless Peerless
Aug 30, 2026 - 09:30
3 1.32
1 1.28
xG Accuracy: 58%
Police Police

AI correctly predicted the Peerless win.

The match finished 3–1, 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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Peerless Peerless ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Peerless higher than the statistical model.

Largest probability gap: Peerless -9.2 pp

Outcome Model Closing Market Difference Signal
Peerless 36.1% 45.3% -9.2 pp Market Higher
Draw 29.6% 28.4% +1.3 pp Aligned
Police 34.2% 26.3% +8.0 pp Model Higher

The closing market estimates Peerless's win probability at 45.3%, compared with the model's estimate of 36.1%, a difference of 9.2 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 (Peerless win 3–1).

Market Assessment

The market and model broadly agree on Peerless. 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Peerless higher (45.3% vs model 36.1%, 9.2 pp), but the model's lean was validated (Peerless win 3–1).

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Prediction Timeline

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

  1. Aug 30, 2026 · 09:29 UTC Forecast generated
    • Model 1X2 · Peerless 36.1% · Draw 29.7% · Police 34.2%
    • xG · Peerless 1.32 — Police 1.28
  2. Aug 30, 2026 · 09:20 UTC Opening odds snapshot PRE10
    • 1X2 odds · Peerless 1.96 · Draw 3.13 · Police 3.38
    • Implied 1X2 · Peerless 45.3% · Draw 28.4% · Police 26.3%
    • Bookmaker · Pinnacle
  3. Aug 30, 2026 · 09:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Peerless 1.96 · Draw 3.13 · Police 3.38
    • Implied 1X2 · Peerless 45.3% · Draw 28.4% · Police 26.3%
    • Bookmaker · Pinnacle
  4. Aug 30, 2026 · 09:30 UTC Kickoff
  5. FT Full-time result Peerless win · 3–1
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 53/100
Betting Confidence 77/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:12 UTC Snapshot ID: dp-6125142

Closing Odds 1.96
AI Fair Odds —
CLV Pending
Final Result Peerless win · Peerless 3–1 Police
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: Calcutta Premier Division
  • Fixture: Peerless vs Police
  • Kickoff: 2026-08-30 09:30:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Peerless 1.32 — Police 1.28 (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 (12.5%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

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 30, 2026 (UTC)

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Calcutta Premier Division Calcutta Premier Division — Standings
# TEAM MP W D L PTS
1 East Bengal 14 9 5 0 32
2 Bhawanipore 14 9 4 1 31
3 Mohun Bagan 14 9 3 2 30
4 Mohammedan 14 7 4 3 25
5 United 14 6 5 3 23
6 Coal India 14 6 4 4 22
7 Peerless 11 6 2 3 20
8 Aryan 11 5 4 2 19
9 Calcutta Customs 11 5 3 3 18
10 Calcutta Police 11 5 3 3 18
11 Police 11 4 5 2 17
12 United Kolkata 11 4 4 3 16
13 Measurers 11 3 6 2 15
14 Kalighat 11 4 2 5 14
15 Railway 11 4 2 5 14
16 Kidderpore 11 2 6 3 12
17 BSS Sporting 11 3 3 5 12
18 Patha Chakra 11 3 1 7 10
19 NA Suruchi Sangha 11 2 3 6 9
20 Rainbow 11 2 1 8 7
21 Wari 11 1 4 6 7
22 George Telegraph 11 2 1 8 7
23 Kalighat Club 11 0 3 8 3
24 Bidhannagar 11 0 2 9 2
# TEAM MP GS GC +/- PTS
1 East Bengal 14 35 8 +27 32
2 Mohun Bagan 14 35 10 +25 30
3 United 14 25 10 +15 23
4 Bhawanipore 14 24 7 +17 31
5 Calcutta Customs 11 24 12 +12 18
6 Mohammedan 14 23 16 +7 25
7 United Kolkata 11 22 16 +6 16
8 Measurers 11 21 17 +4 15
9 Peerless 11 20 9 +11 20
10 Railway 11 20 20 0 14
11 Coal India 14 19 22 -3 22
12 Aryan 11 18 6 +12 19
13 Kalighat 11 18 13 +5 14
14 BSS Sporting 11 17 21 -4 12
15 Kidderpore 11 15 18 -3 12
16 Calcutta Police 11 13 11 +2 18
17 Police 11 13 11 +2 17
18 Rainbow 11 13 31 -18 7
19 Patha Chakra 11 12 32 -20 10
20 NA Suruchi Sangha 11 11 20 -9 9
21 Wari 11 9 28 -19 7
22 George Telegraph 11 7 33 -26 7
23 Bidhannagar 11 5 31 -26 2
24 Kalighat Club 11 4 21 -17 3