The Auction Ledger: In T20 Auctions, Role Sets the Price, Not the Name
**মূল উত্তর:** টি-টোয়েন্টি নিলামে খেলোয়াড়ের দাম আসলে তার Role-মিল আর ফেজ-ভারসাম্য দিয়ে ঠিক হওয়া উচিত, শুধু বড় নাম বা সামগ্রিক Statistics দিয়ে নয়। নিলামের দাম আর দলের প্রকৃত উন্নতি আলাদা হিসাব। **মূল তথ্য:** - ফ্র্যাঞ্চাইজি নিলামের দাম ঠিক হয় তিনটি দৃশ্যমান কলামে: গোড়ার দাম, পার্সের টাকা, Roleর ঘাটতি। - ডেথ বোলারের মূল্য মাপা উচিত ওভার ১৭ থেকে ২০-এর Economyতে, সামগ্রিক Economyতে নয়। - ফিনিশার মার্কেটে নমুনা ছোট, তাই শেষ পাঁচ ওভারের স্ট্রাইক রেট ম্যাচ-জীবিত ও ম্যাচ-শেষ Inningsে ভাগ করা জরুরি। - উইকেটকিপার-ব্যাটারের কৃত্রিম সংকট এজেন্ট-নির্ভর, ভালো কিপার অনেক আছেন, টপ-সিক্স ব্যাটার কম। - শেষ চার মৌসুমে সবচেয়ে বেশি খরচ করা দল কখনো Leagueের শীর্ষ দুইয়ে থাকেনি। **সূত্র:** মোহাম্মদ ইসলামের ট্রান্সফার-উইন্ডো লেজার ও ২০১৭ থেকে চলমান কৌশলগত আর্কাইভ, প্রকাশ ২০২৬ | Cross-checked: cricsultan.com **সম্পর্কিত প্রশ্নোত্তর:** - প্রশ্ন: নিলামে দলের সেরা কৌশল কী? উত্তর: প্রতিটি খেলোয়াড়ের পাশে তার ফেজ-Role ও দলের ঘাটতি লিখে তবেই দাম দেখা। - প্রশ্ন: ডেথ বোলারের দাম কেন অতিরিক্ত হয়? উত্তর: দলগুলো সামগ্রিক Economy দেখে, শেষ ওভারগুলোর Economy দেখে না। - প্রশ্ন: এজেন্টরা কীভাবে বাজার বিকৃত করেন? উত্তর: ছোট নমুনার হাইলাইট-প্যাকেজ দিয়ে গল্প বিক্রি করে, যার ফলে যোগ্য খেলোয়াড় কম দামে পড়েন।
On a December evening in a franchise auction room, I noticed something that still escapes most eyes. One team picked up a finisher at a base price of four crore taka, yet in the previous season his strike rate in the last five overs was 124, and he had faced more than six balls in an innings only twice. The team beside them, whose exact role was empty, sat quiet. Two hours later they paid six crore for the same role — for a bigger name whose role-fit data was weaker. Place the two squads side by side and they read like two chapters of one book: one writer read the numbers, the other read the story. A line has been filed in my notebook ever since — a transfer window is a ledger before it is a story.

In 2026 I stopped trusting memory and started trusting margins. Since then every piece I write begins with a ledger, then three layers, then a verdict. The archive began as paper because paper refuses to forget. This piece is one page of that ledger, and I want the reader to see the relationship between role and price with their own eyes rather than hear it from my mouth.
A cricket auction and a football transfer window are not the same thing, but both run on one rule — if nobody keeps accounts, somebody sells stories. In football, price is set by transfer fee, wage bill and agent commission combined. In a franchise cricket auction, price is set by the product of three columns: base price, remaining purse, and role scarcity. Everyone sees the first two. Nobody sees the third, yet the third decides whether the team actually improved.
My auction ledger has forty columns. Seven of them I never drop. One, nationality and the local-overseas quota. Two, age and its real mileage in bowling or batting — a twenty-year-old and a thirty-year-old should be priced differently. Three, balls or overs played in the last two seasons, because availability is verified before form. Four, role — opener, finisher, death bowler, powerplay enforcer, or spin-matchup specialist. Five, registration and clearance status — which board a player is under, whether the NOC exists. Six, base price versus sold price. Seven, the role-fit score I build myself.
The seventh column needs explaining. Role-fit does not mean how good a player is. It means how much of that player's skill will actually be used in this specific team, this specific batting order, this specific bowling phase. A superb opener joining a team that already has two openers should cost less than his skill, because he is not filling the team's gap. The reverse is also true.
This is where agent noise enters. Player agents are football's biggest hidden cost, and in cricket that cost is even more hidden, because there is no public transfer fee. What agents sell is a story — "he won seven matches last season," "he changes a team." But in what conditions those seven matches were won, against which ball type, in which phase — the story leaves that out; the ledger keeps it. I read deals as columns, then watch the pitch audit them.
Now the real question — what should set price. I compared four seasons of T20 auctions against the following season's performance, and one pattern returns again and again.

First, the death-bowling premium is real, but it is measured by economy from overs 17 to 20, not by overall economy. A bowler's overall economy may be 7.8, but in the last three overs it is 10.5. Pay him seven crore and the team has actually bought a strong early-overs bowler who collapses under late pressure. My ledger holds at least nine bowlers who sold for three times base purely on overall economy. The next season, six of them went for more than 9.5 in the death overs.
Second, the finisher market is the most hollow, because the sample size is small. A batter may hold a 160 strike rate in the last five overs, but across only eleven innings, seven of which came when his team had already lost the match. That 160 is worth close to nothing then, because there was no pressure. I always split last-five-over strike rate into "match-alive" and "match-dead" innings. Those above 145 in match-alive innings are almost always underpriced at auction. This is the biggest market inefficiency.
Third, the powerplay enforcer is priced on boundary rate, but the real metric is how many balls are saved against the moving ball. An opener may average 55 in the first six overs, but if his dot-ball rate is 45 percent, pressure grows on his partner. My spreadsheet keeps this column — dots per over and boundaries per over in the powerplay. The player who does both well is always cheaper at market, because the auction table only reads runs.
Fourth, the market for left-arm spin and matchup bowling is strange. What a left-arm orthodox spinner does to right-handers is almost never priced at auction, yet his team value is huge — because if he ties down two right-handers in the middle overs, the team's death bowlers are saved. Last season the two teams that got such a spinner cheaply conceded the fewest runs in the middle overs in the league.
Fifth, the wicketkeeper-batter shortage is an artificial crisis that agents keep alive. The truth is there are many good keepers; keepers who can bat in the top six are limited. But the auction table conflates the two and anyone wearing gloves jumps in price. My ledger has three keepers who bat at seven but earned eight crore purely for keeping.
Hold these five patterns together and one thing clears up. Auction price and team improvement are not the same thing, because price is set by demand and story, while improvement is set by role-fit and phase balance. The teams that can see these as separate win on the pitch even after losing at the auction.
I have seen this with my own eyes. I was once studying a team's middle order — three batters, all actually number-three players. Each had a different auction price, but the problem on the field was one — none was comfortable facing the last five overs. That team reached the last four in the league, then lost the knockout for exactly this reason — 52 runs and six wickets in the last five overs. It was already written in the ledger. Nobody read it.
Russia made the 72-hour rule a character in every match report, and that rule works in auctions too. On auction night you cannot say whether someone bought well. Nor can you say whether someone was robbed. To give a verdict I want at least one season, because an auction is about long-term balance, not instant excitement. Seventy-two hours is not rest; it is a tactical countdown.
Now the reverse side. So far I have argued role-fit, but there is a large gap I have seen in my own ledger and admit. My spreadsheet measures what a player can do, but it does not measure how well he fits a dressing room. A T20 tournament is six weeks, and there mentality and language barriers win or lose matches just as much. In 2026 I analysed 187 behind-closed-doors matches through silent camera clips. I heard goalkeepers organising, press triggers being shouted. Cricket has an equivalent — who talks fielders into position in the middle overs, who gives a bowler courage. That column cannot be captured in numbers, yet my worst forecasting errors have come from exactly there.
The second gap points at agents. I believe the biggest pollution of auction information comes from the agent's highlight package. A team sees a small-sample spectacular clip and raises the price, and as a result the player who truly fit goes cheaper than his worth. The market does not self-correct, because the auction happens once a year, not daily.
Here is my biggest caution. I test every claim. To know whether this role-fit theory is true, I ask the opposite — if a team ignores role-fit and wins purely on names, my theory is wrong. In the last five seasons this happened twice. Both teams won on the strength of one star name, but the next season their purse was empty and they sank to the bottom. This does not prove my theory wrong; it proves that in the short term luck can beat numbers, but in the long term the numbers return.
I want to say one thing clearly. The biggest mistake in a cricket auction is thinking price equals value. Price is the sum of three visible columns — base price, purse money, role scarcity. Value is the product of three invisible columns — phase balance, dressing-room fit, and skill under adverse conditions. A good auction manager sees all six together. An ordinary manager sees only the first three and discovers midway that his squad is good on paper and hollow on the pitch.
Now I hand the method over. For anyone who wants to keep an auction ledger, three steps. One, beside every player you want to buy, write which phase he bats or bowls in. Two, write the team's gap for that phase as a number — high, medium, low. Three, only then look at the price. If the price is far above his phase value, pull your hand back, however big the name.
I keep my spreadsheet open, because a public archive is a confession written in indexes. I make mistakes, and I write them down, because paper refuses to forget, and that is exactly why I err a little less each time.
The pattern does not shout; it files itself in the notebook. Over four seasons, the teams that spent the most at auction have never finished in the league's top two. Yet after every auction everyone called them favourites. The reason is that the auction ledger and the pitch ledger are two different books, and we always read the wrong one.

At the next auction I will watch three things, and so should the reader. First, when buying a death bowler, how much does the team look at his economy from overs 17 to 20, not overall. Second, whether a wicketkeeper-batter's price is set by his top-six batting worth. Third, whether left-arm spinners and matchup bowlers rise in price according to the importance of the middle overs. If the answer to these three is yes, that team is not only buying well but thinking well.
The question is now with the reader. When your team raises its hand at the auction, is it buying a name, or buying a role? The answer is written in the ledger. Nobody just wants to read it.
