How Do You Compare a Pitcher to a Point Guard?

Our ledger answers the question rankings cannot: when a pitcher was traded for a point guard, what both owners were really pricing was a finishing position. The proof sits in three filed lines, recorded exactly as submitted — 2/24/15: Keri got John Brown, Grant got Chad Qualls.

Photo: Kenneth C. Zirkel, CC BY-SA 4.0 · source file

The Question Rankings Cannot Answer

Fantasy sports rest on incompatible math. Baseball runs on five-by-five rotisserie: home runs, RBIs, runs, stolen bases, and on-base percentage, plus wins, strikeouts, saves, ERA, and WHIP for pitchers. Basketball uses eight categories: points, rebounds, assists, steals, blocks, three-pointers, free-throw percentage, and field-goal percentage. Football has its own architecture entirely. No formula converts a closer's WHIP into a point guard's assist rate. No algorithm reconciles a power forward's field-goal percentage with a slugger's OBP.

Traditional rankings pretend this problem does not exist. They line up players within each sport, assigning dollar values or draft positions as if the currencies matched. They do not. A $25 player in baseball and a $25 player in basketball are denominated in different units entirely, like yen and pesos without an exchange rate. The industry has built elaborate projection systems, statistical models, and expert consensus to paper over this gap. The gap remains.

Our league solved it by not solving it. The scoring systems stay separate. The standings do not. Each sport's final table converts to league points: fourteen for the champion, one for last place, the rest distributed between. A number that works across all three. A common denominator that requires no translation between ERA and FT%.

What the Filed Lines Show

Read the three quoted lines for what each side gained. On February 24, 2015, Keri received John Brown. Grant received Chad Qualls, a relief pitcher. The sports do not match. The values, measured in projected standings position, must have. Grant believed Qualls would move him up the baseball table. Keri believed Brown would move him up the football table. Neither needed to calculate whether a save was worth more than a touchdown. Both needed to guess their finish.

On March 6, 2016, Kogod got Adam Jones, a baseball outfielder. Rank got LaMarcas Aldridge. Again the mismatch. Jones hit for average and power; Aldridge scored in the post and rebounded. The categories share no overlap. The ledger does not care. What Kogod bought was Jones's contribution to a baseball championship, worth up to fourteen league points. What Rank bought was Aldridge's contribution to a basketball championship, worth the same fourteen in a different sport. The trade only works if both owners believe their incoming player delivers more table position than their outgoing player cost.

The largest deal came August 29, 2016. Keri received Mike Trout, Josh Donaldson, and Aroldis Chapman — three elite baseball assets, two elite players and a closer. Sporer received Patrick Beverley, $15 in NBA FAAB, Dylan Bundy, Hunter Pence, and Sam Dyson. The asymmetry is stark. Trout alone was a top player in fantasy baseball. The return was a defensive point guard, some baseball depth, and cash. The ledger records what Sporer valued: Beverley's steals and assists, plus flexibility for the basketball wire, plus rotation pieces for the baseball stretch run. Keri valued certainty in a pennant race. Both owners priced finishing position. Neither priced the players themselves.

Pricing a Finish Instead of a Player

The conversion rule makes this explicit. Champions earn fourteen points. Last place earns one. The scale compresses excellence and punishes mediocrity equally across all three sports. A baseball owner trailing in WHIP and a basketball owner trailing in blocks face the same structural problem: their categories convert to the same table, the same points, the same currency.

This flips how trades get evaluated. In a single-sport league, you measure surplus value: will this player's statistics exceed his cost? In our league, you measure surplus position: will this player move me from fourth to second, or from ninth to seventh? The difference between fourth and second is three league points. The difference between ninth and seventh is two. A player who delivers either is worth acquiring, even if his raw statistics underwhelm in absolute terms.

The 2015 and 2016 ledgers show this logic at work. Thirty-one trades in 2015. Forty-three in 2016. Seventy-four total, every one crossing sport boundaries or trading future assets against present ones. No owner traded within a single sport for a single season. The format forbade the easy comparison. It demanded the harder one: what does this do to my standing?

When a Budget Is the Better Side of a Deal

The league runs three separate FAAB budgets, one per sport. Each trades as an independent asset. The 2018-2019 season introduced a further wrinkle: owners could trade the following season's FAAB as well, spending 2019-2020 currency in 2018-2019. This converted future resources into present ammunition, or vice versa, depending on where an owner sat in each table.

The August 2016 deal illustrates. Sporer received $15 in NBA FAAB. That was not a throw-in. It was a bet on the basketball wire, on finding the next breakout guard or injured star's replacement. Keri gave it up because his baseball standing required certainty now: Trout, Donaldson, Chapman for the stretch run. Sporer could afford speculation. Keri could not. The $15 meant different things to each because their table positions differed.

The three-budget system prevents simple arbitrage. You cannot drain one sport to fund another. You cannot convert baseball FAAB into basketball FAAB at any exchange rate. Each budget marooned in its own sport forces owners to optimize within constraint, not across it. The trades that result are necessarily unequal in raw materials — a pitcher for a point guard, a closer for a receiver — but aimed at the same converted output.

What the Ledger Cannot Tell You

The ledger records what moved, not what either owner expected. It shows Keri betting on Trout in 2016. It does not show whether Keri believed Trout would deliver fourteen points or six, whether the baseball table was tight or settled, whether Keri had calculated the points gap to the leader or acted on instinct. The filed line is the bet, not the reasoning.

This matters for how the record gets read. 3/6/2016: Kogod got Adam Jones, Rank got LaMarcus Aldridge. We know Kogod traded a basketball asset for a baseball asset. We do not know if Kogod needed outfield power or Rank needed frontcourt depth, whether either owner misjudged his team's true position, whether the deal looked lopsided to the rest of the league at the time. The ledger holds the price paid. The expectation behind it sits in private calculation, now unrecoverable.

The absence is not a flaw. It is the point. Every trade in the seventy-four is a revealed preference, an action that speaks louder than any ranking or projection. What Kogod believed about Jones, what Rank believed about Aldridge, merged into a single filed line that needed no translation between their private models. The league's scoring system did the conversion for them, after the fact, when the tables closed and the points distributed. 2/24/15: Keri got John Brown, Grant got Chad Qualls. Two owners. Two sports. One table.