General Manager, Pro

Graded as a person, on wins per control-dollar.

The general manager is gradeable as a named operator: on how well he acquires, controls, and values talent against the resources he was handed. The engine rates him on five pillars, acquisition, control, value, conduct, and managing up, assembles the roster's multi-year picture to read whether he is building a contention window or spending one down, prices his efficiency as win value per control-dollar, and keeps the three bets apart so a failure traces to the term that broke. The record is read against the payroll, because the job is efficiency inside a window, not stars bought.

Case 01 · the operator on five pillars

Rate the pillars. Read the record against the payroll.

The general manager is rated as a named operator on five pillars: acquisition, control, value, conduct, and managing up. And the record is separated from the resources, because a GM handed a top-five payroll and one squeezing contention out of a bottom-ten one are different reads, measured against what each was given.

83GM Rating66% confidenceSurplus-buying operator
Composite pro GM
AcquisitionDraft, international, trade, and free agency: landing win value.85
ControlCapturing and extending cheap control years.88
ValueBuying surplus the market underprices.84
ConductIntegrity of process and relationships.78
Managing upWorking ownership and the payroll posture.72
The record read against the resources handed to him
GM Atop-five payrollcontends every yeartop-five payrollbeat payroll by a little
GM Bbottom-ten payrollsqueezes out contentionbottom-ten payrollbeat payroll by a lot
A GM handed a top-five payroll and one squeezing contention out of a bottom-ten one are different reads. The engine grades the record against the payroll, so the operator who beats a thin budget by a lot outranks the one who beats a rich one by a little.

The GM grades an 83 as a surplus-buying operator, strongest on control, and the record is read against the resources: GM B, who beat a bottom-ten payroll by a lot, is a better operator read than GM A, who beat a top-five one by a little. The job is efficiency inside a window, not stars bought. Grade the operator against the payroll he was handed, not the stars the money bought.

Illustrative engine read on the real pro-GM operator rating (acquisition, control, value, conduct, managing up; the record separated from the payroll). Composite GMs, demonstration figures.

Case 02 · the multi-year roster picture

Building a window, or spending one down.

The GM read assembles the roster's multi-year picture: contracts and control windows, ages and service time, KR trajectory across the aging curve, and draft, international, and trade capital. From that, it prices whether he is building a contention window or spending one down, and the efficiency edge is the point.

Contracts and control windowscore controlled through the windowThe service-time ladder of the roster, when the cheap years run out.
Ages and service timeyoung core, low mileageWhere each player sits on the aging curve and the control clock.
KR trajectoryrising across the next three yearsThe roster's projected KR across the aging curve, up or down.
Draft, international, trade capitaldeep farm, full pool spaceThe future control the GM can still deploy.
This GM
building a contention window
Young controlled core, rising KR, deep capital: the window is opening.
The counter-example
spending a window down
Aging core, expiring control, thin farm: the window is closing.
Win value per control-dollar v0 · current-as-of
This GM$140M payroll92 projected wins0.66 wins per $1M
League-average GM$140M payroll85 projected wins0.61 wins per $1M
The best GMs generate the most win value per control-dollar, the surplus-buying discipline the whole pro economy rewards. That efficiency edge, not the raw payroll, is the read.

The multi-year picture shows a young controlled core, rising KR, and deep capital, so this GM is building a window rather than spending one down, and he turns $140M into 92 wins against a league-average 85. The efficiency edge, win value per control-dollar, is the surplus-buying discipline the pro economy rewards. The best GMs generate the most win value per control-dollar, building a window instead of spending one down.

Illustrative engine read on the real multi-year roster picture (contracts and control windows, ages and service time, KR trajectory, draft-international-trade capital; window vs spending-down; win value per control-dollar). Composite roster, demonstration figures flagged current-as-of.

Case 03 · the three bets kept separate

Coordinate the three bets. Never merge them.

The GM read coordinates but never merges the three bets: the player bet, are the KRs right; the projection bet, what the roster becomes across the aging curve and the farm; and the institutional bet, can the org develop and deploy them. A strategy is output with the three bets kept separate and each priced.

Player bet
Are the KRs right?
Roster KRs solid
76% confidence
The present reads the roster is built on, consumed from Player Intelligence.
Projection bet
What does the roster become?
Rising across the aging curve, farm on track
58% confidence
What the roster becomes across the aging curve and the farm system.
Institutional bet
Can the org develop and deploy them?
Development residual positive
61% confidence
Whether the organization can develop and deploy the talent it holds.
A GM's failure is traceable to the term that broke: a bad roster is an acquisition miss, a stalled one a projection miss, an underused one an institutional miss. The engine keeps the three apart so the diagnosis is possible, rather than blaming a down year on luck.

The player bet is solid, the projection bet is a rising roster and an on-track farm at a wider band, and the institutional bet is positive on development, each reported separately with its own confidence. Coordinated, never merged, so a GM's failure traces to acquisition, projection, or institution rather than luck. Three bets, coordinated but never merged, so a GM's failure traces to the term that broke, not to luck.

Illustrative engine read on the real three-bet discipline for the pro GM (player, projection across the aging curve and the farm, institutional), reported separately with confidence. Composite GM, demonstration figures.

The law underneath
Wins per control-dollar, against the resources handed to him.

The GM is graded on wins per control-dollar and the three bets, against the resources he was handed. The engine reads acquisition, control, value, conduct, and managing up as separate pillars, keeps the player, projection, and institutional bets apart, and measures the record against the payroll, because the job is efficiency inside a window, not stars bought. The best operators generate the most win value per control-dollar, build a window instead of spending one down, and their failures trace to the acquisition, projection, or institutional term that broke rather than to luck.

Grade the operator. Against his payroll.

The Pro GM is rated as a named operator on acquisition, control, value, conduct, and managing up, against the resources handed to him, with the multi-year window assessed, the win value per control-dollar priced, and the three bets kept separate.

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