Predictions / Football / India. Calcutta Premier Division / Calcutta Police vs Kalighat Club

Prediction Audit: Calcutta Police vs Kalighat Club Prediction, Odds & AI Betting Tips

Aug 24, 2026 - 09:30
3 1.22
0 1.38
xG Accuracy: 42%

The model missed the final outcome (Calcutta Police win 3–0).

The model had projected Kalighat Club at 39.0%, 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Kalighat Club Calcutta Police ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Calcutta Police higher than the statistical model.

Largest probability gap: Calcutta Police -22.7 pp

Outcome Model Closing Market Difference Signal
Calcutta Police 31.5% 54.2% -22.7 pp Market Higher
Draw 29.5% 27.3% +2.3 pp Aligned
Kalighat Club 39.0% 18.5% +20.4 pp Model Edge

The closing market estimates Calcutta Police's win probability at 54.2%, compared with the model's estimate of 31.5%, a difference of 22.7 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 result was Calcutta Police win 3–0.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 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 (3 goals)

Market lesson

The closing market differed from the model on Kalighat Club by 22.7 percentage points (61.7% vs model 39.0%) — 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. Aug 24, 2026 · 09:29 UTC Forecast generated
    • Model 1X2 · Calcutta Police 31.5% · Draw 29.5% · Kalighat Club 39.0%
    • xG · Calcutta Police 1.22 — Kalighat Club 1.38
  2. Aug 24, 2026 · 08:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Calcutta Police 1.64 · Draw 3.26 · Kalighat Club 4.80
    • Implied 1X2 · Calcutta Police 54.2% · Draw 27.3% · Kalighat Club 18.5%
    • Bookmaker · Pinnacle
  3. Aug 24, 2026 · 09:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Calcutta Police 1.64 · Draw 3.26 · Kalighat Club 4.80
    • Implied 1X2 · Calcutta Police 54.2% · Draw 27.3% · Kalighat Club 18.5%
    • Bookmaker · Pinnacle
  4. Aug 24, 2026 · 09:30 UTC Kickoff
  5. FT Full-time result Calcutta Police win · 3–0
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (23 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 22, 2026 · 00:24 UTC Snapshot ID: dp-4906485

Closing Odds 1.64
AI Fair Odds —
CLV Pending
Final Result Calcutta Police win · Calcutta Police 3–0 Kalighat Club
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: Calcutta Premier Division
  • Fixture: Calcutta Police vs Kalighat Club
  • Kickoff: 2026-08-24 09:30:00
  • 1X2 (model): Home 31.5% · Draw 29.5% · Away 39.0%
  • xG (showing): Calcutta Police 1.22 — Kalighat Club 1.38 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Wait

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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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