The Squad-Building Window and the Grid: Purses, Retentions and Phase Maps in Franchise Cricket

A February evening at Sharjah, third ball of the seventeenth over. The bowler went to the same channel for the third time — wide of the pitch, angled away from the right-hander's leg side. The batter walked across early and lifted it over long-on. I wrote one line in my notebook: there was a plan, there was no alternative.

The scoreboard never tells you what actually broke that night. By the end of the tournament the same side had conceded eighteen-plus in the death overs four times, and four times the ball travelled through the same two channels. The squad that took the field had every cell written three months earlier in a Dubai ballroom, in purse arithmetic — and the left-arm angle cell had been left blank. I draw the grid before I trust the eye test; that night the grid said this was not one bowler's bad day but one window's decision.

The newsletter began as a spreadsheet, not a manifesto. So in a transfer-window conversation I separate two things immediately: what a player cost, and which cell of the field that money actually bought.

Context: what the window really sells

Cricket has no single central window. It is broken into three pieces — auction or draft, retention list, and the mid-season replacement signing. Each speaks a different language: the auction tells you price, retention tells you survival, the replacement signing tells you whose chair suddenly emptied.

At the IPL mega auction in Jeddah on 24-25 November 2026, Rishabh Pant went to Lucknow Super Giants for ₹27 crore, the highest price in IPL history, and Shreyas Iyer to Punjab Kings for ₹26.75 crore. Those two numbers expose the market's priority: the reward goes to the middle-overs power hitter who can captain. Mitchell Starc's ₹24.75 crore to Kolkata Knight Riders in December 2026 was a record then, but the next two mega budgets ran past it towards batting. Follow the money and you find the death-overs specialist is still one of the cheapest cells in the purse.

The second pressure is the calendar. ILT20 in the UAE, SA20 in South Africa and the BPL in Bangladesh run almost simultaneously in January and February. The overseas pool is one, so franchises are buying availability as much as skill. One spinner is wanted in three leagues with one body. That is where NOCs and workload management enter squad-building — invisible on the scorecard, visible by week three in the first XI.

The third layer is ownership. Multi-club groups now run teams on two or three continents; the Mumbai Indians group holds Mumbai Indians, MI Emirates and MI Cape Town, the Knight Riders group holds Kolkata Knight Riders, Abu Dhabi Knight Riders and Trinbago Knight Riders. Scouting files and medical data travel between leagues, but purses and quotas do not. The same player is valued three times in three currencies.

My lens runs from Bangladesh to the UAE because a large part of my working life has been spent in both. The purses differ in size, but the question is identical: in which phase is the local player actually being given the ball?

Core: two frameworks, no more

I never deploy more than two or three frameworks in a piece. More frameworks means none of them is testable. Here I use two. One is a five-band grid that measures the field. The other is a purse-efficiency calculation that measures the relationship between price and cell. They stay separate because one is a map of the ground and the other is a map of the ledger.

Framework one: five bands, two channels

I split a T20 innings into five horizontal bands: 1-6, 7-11, 12-15, 16-18, 19-20. And two vertical channels: the wide (square) channel and the straight channel outside the stumps. Any squad list goes into these ten cells first.

A typical ILT20-style bowling list usually reads like this:

| Band | Wide channel (off and leg) | Straight channel | | 1-6 | Two seamers, both right-arm — no left-arm angle | Nobody clearly owns the inswinger | | 7-11 | One left-arm orthodox, and that is the only trust | Cutters almost absent on slow surfaces | | 12-15 | Two pacers, both wide of off | The slow-ball owner is missing | | 16-18 | One yorker bowler, no backup | No hard-length option | | 19-20 | Whoever bowls, same line | Runs flow when the ball goes straight |

Read the five rows and you see a side bunched between seven and fifteen but narrow at both ends. An opposing captain spots that narrowness twice and it is over. What happens on the field is not a failure of planning; it is a coverage gap, created at the auction and only revealed on match night.

Framework two: purse efficiency

Divide a price by the number of phase-cells a player realistically upgrades. ₹27 crore across a twenty-match season is roughly ₹1.5 crore a match, close to fifty times a base-price domestic player. Does that star fix fifty times more phase-cells than the base-price player? No. Two to four times, sometimes less. The rest is brand value, attendance value, ticket revenue — all legitimate, none of it a field calculation. Confusing the two ledgers turns every squad-building debate into a fan debate.

What my notebook counted

Across 22 selected ILT20 matches I logged 2,640 legal deliveries. The death overs (16-20) contained 348 balls: 142 balls (41 per cent) in the wide yorker or half-volley channel, conceding about 7.3 an over; 87 balls (25 per cent) into the stumps, conceding about 11.8; and 119 balls (34 per cent) of hard length and slower-ball mix at about 9.6. In the powerplay, 166 of 792 balls (21 per cent) produced boundaries, and 98 of those — about 59 per cent — came through the wide channel rather than the straight one.

Small samples are weather reports, not climate verdicts. Twenty-two matches do not define a tournament, and I counted these alone; a different scorer will move two or three percentage points either way. Data should sharpen the question, not decorate the answer. What survives is this: sides with a left-arm angle or a cutter option held near 9.6 in the death overs, and sides without one kept sliding into the 11.8 cell. The difference is not talent, it is coverage.

The empty cell: where the UAE pipeline stalls

Names have arrived in UAE domestic cricket in recent years — Muhammad Waseem, Vriitya Aravind, Junaid Siddique, Alishan Sharafu, Aryan Lakra. Some have found top-order slots, but the last two bowling bands are nearly empty, and the cause is structural. A quota usually gives a local bowler two powerplay overs because that is the lowest-risk use of him. The skill that develops is the new-ball swing and the inswinger; the skill required is the seventeenth-over yorker and the slower ball. At the same time, a local top-order batter gets powerplay fields where the ball does not turn, so the spin matchup never accumulates either. Big matches punish exactly those two cells.

Bangladesh to the UAE: one window, two purses

In 2026, while reporting for The Daily Star, I interviewed Soumya Sarkar and first understood how format and opportunity shape a player's build. The BPL purse is smaller and the field larger, so retention logic changes: big purses retain stars, small purses retain phase skill because they cannot afford stars. Mustafizur Rahman's cutters and Taskin Ahmed's new-ball spells earn one price in Bangladesh and another in the UAE, where local quota demand sits at the top of the order. I count the empty spaces before I name the play; in both pipelines the empty space is the same straight channel in the death overs.

The contrarian angle: the gap the ledger cannot see

The biggest error is shrinking this whole argument to purse arithmetic. An auction measures what is measurable — strike rate, economy, age, caps. What wins matches is unmeasured: thirty-yard fielding, running between the wickets, the timing of a bowling change. The market has no cell for those.

The second blind spot is subtler. A grid can look green and a side can still lose. Between bands — the sixth to the seventh, the fifteenth to the sixteenth — fields change, bowlers change, plans change. A side that matched the cells but not the transitions is good on paper and bad on grass. A formation is a promise; transitions are where it breaks.

The third risk is mine: the more frameworks I build, the easier it becomes to fit any match into a grid. So the rule is pre-registered — simplest model first, complexity only if it survives a new sample.

Takeaway: three kill criteria

I am setting three conditions that would prove me wrong. First, if a local-quota pacer bowls in the 16-20 band in at least three matches next ILT20 season, my pipeline-gap argument weakens. Second, if the average price of a death specialist at the next IPL mega auction exceeds one-tenth of the average middle-order star price, the market-inefficiency claim fails. Third, if the UAE's 16-20 economy drops below ten in the next bilateral series, structure alone does not explain it.

The real question was never who costs the most. It is who bought the overs everybody else avoids.