Fortis vs Chattogram Statistics & Analysis

Sep 18, 2026 - 09:00
6 1.41
0 1.19
xG Accuracy: 20%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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 Fortis Fortis ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 6-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 18, 2026 · 01:09 UTC Snapshot ID: dp-9331770

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Fortis win · Fortis 6–0 Chattogram
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Premier League
  • Fixture: Fortis vs Chattogram
  • Kickoff: 2026-09-18 09:00:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): Fortis 1.41 — Chattogram 1.19 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • 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 54.2% · No 45.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.2% · No 45.8%
  • 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.

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 27, 2026 (UTC)

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Back to Statistics
Premier League Premier League — Standings
# TEAM MP W D L PTS
1 Bashundhara Kings 18 12 5 1 41
2 Abahani 18 11 4 3 37
3 Fortis 18 10 5 3 35
4 Bangladesh Police 18 6 9 3 27
5 Mohammedan Dhaka 18 6 5 7 23
6 Rahmatgonj MFS 18 6 5 7 23
7 Brothers Union 18 4 5 9 17
8 PWD Sports Club 18 4 5 9 17
9 Arambagh 18 3 5 10 14
10 Fakirerpool 18 2 4 12 10
# TEAM MP GS GC +/- PTS
1 Bashundhara Kings 18 42 18 +24 41
2 Abahani 18 37 15 +22 37
3 Fortis 18 31 13 +18 35
4 Mohammedan Dhaka 18 27 20 +7 23
5 Rahmatgonj MFS 18 21 25 -4 23
6 Bangladesh Police 18 19 15 +4 27
7 Brothers Union 18 18 29 -11 17
8 PWD Sports Club 18 15 28 -13 17
9 Fakirerpool 18 13 44 -31 10
10 Arambagh 18 12 28 -16 14