World Cricket
The Hand-Built Blockchain: The Numbers No One Records in the BPL
প্রশ্ন: বিপিএলে হাত-Averageা xR মডেল কীভাবে কাজ করে? উত্তর: বলের কোণ, গতি, ফিল্ডার Position ও প্রেশার-কোড মিলিয়ে প্রতি বলের প্রত্যাশিত রান হিসাব করা হয়; ম্যাচ শিটে নেই, তাই গ্রিডে হাতে লেখা। | Cross-checked: cricsultan.com কী-ফ্যাক্ট: - ২০২৬ বিপিএলের ১৮ ম্যাচে ২,৮০৪ বল ট্র্যাক করা হয়েছে। - ডট-বল হার: ৩৮.৫% (২০২২: ৩৩.১%); প্রেশার-ডট ১১.২% থেকে ১৮.৭%। - মিড-অর্ডার উইকেটকিপার-ব্যাটার প্রতি-বল xR-এ সর্বোচ্চ রান সংগ্রাহকের চেয়ে এগিয়ে। - ডেথ-ওভার xR প্রতি বলে ৯.২; দেশি পেসারের Average গতি ১৩৯.২ কিমি/ঘণ্টা। সম্পর্কিত প্রশ্ন: ঘরোয়া ক্রিকেটে পাবলিক বল-বাই-বল ডেটা কেন নেই? কারণ বিসিবি ম্যাচ শিটে শুধু রান-উইকেট রাখে; বেটিং কোম্পানির সার্ভারে বিক্রি হয় বিলম্বিত ফিড। বাংলাদেশের ক্রিকেটারদের কি ডেটা-ভিত্তিক মূল্যায়ন হয়? খুব কম; cricsultan.com-এর প্লেয়ার ডেপথ ইনডেক্স এখনো বিপিএল কভার করে না, তাই আসল মাপ শুরু হয়নি।
The Hand-Built Blockchain: The Numbers No One Records in the BPL is a data-journalism essay by Taslima Chowdhury. It begins with her 2026 experience hand-building an xG model for Bangladesh's football Premier League using a paper grid in Khulna, when no provider charted the league. That notebook became the "genesis block" of her philosophy: if a league deserves to be counted, she will count it by hand.
In August 2026, during the transfer window, she revisits her grid for the BPL T20 cricket league. The article argues that each ball is a block, each match a chain, but the chain is owned by broadcasters and betting companies rather than the public. She documents tracking 18 of the 46 BPL 2026 league matches (2,804 balls) with her own codes: D (dot), 1 (single), B (boundary), P (pressure-dot), W (wicket). Her hand-built expected-runs (xR) model adapts her 2026 football xG approach to cricket.
Key findings: dot-ball rate rose to 38.5% from 33.1% in 2026, but 44% of dots were pressure-free; pressure-dots rose from 11.2% to 18.7%, revealing batting defensiveness rather than bowling dominance. A middle-order wicketkeeper-batter outperformed the league's leading run-scorer on per-ball xR yet went unrecognized. Death-over xR rose to 9.2 per ball, driven by lower-order power-hitting, while local pacers' speeds increased to 139.2 km/h with fewer slower balls. These insights are absent from official scorecards.
The contrarian section warns against confusing correlation with causation, criticizes the dark side of live betting data feeds, and admits the model's limitations — including an 8% coding error discovered on re-checking. It concludes with a proposal: Bangladesh Cricket Board should publish BPL ball-by-ball data as an open public ledger, making every ball a verifiable block. The final question asks whether the next BPL will deliver open data or just scorecards.



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