DEADSHOT

One number for how well a team scored, with the era taken out. 100 is exactly that season’s league average. 112 means you scored 12% more than the typical team that year. It is the only figure on this site you can lay side by side across every season the league has played, which is what makes it the number to argue with.

Not a career table, a forward-looking one. It weights recent seasons above old ones, shrinks small samples toward the league mean, and ignores win-loss record entirely in favour of scoring, because record carries luck and scoring does not. Drag the slider to change how hard the model discounts the past and watch the order move.

A league average hides the interesting part. These show how spread out the league was each year, whether everyone was bunched together or three teams ran away with it.

Season totals estimate luck. Weekly scores measure it. Choose a season below and every card in this section follows it. Greyed years have no game log yet. These cards always show everyone who played that season, so the manager filter at the top does not apply here.

Luck is actual wins minus the wins your points deserved. Pythagorean expectation says a team scoring 1,900 and allowing 1,700 should win about 8 of 14. Win 11 and you banked three wins your scoring did not earn.

These measures are built from season totals and the playoff game log, so they cover all ten seasons. The Week by Week section examines the same ground in more detail, but only for the years with a game log loaded.

Win percentage tells you where a career ended up. It does not tell you how much of it was spent winning. Games clear is wins minus losses across a whole career, the plainest measure there is. Weeks above goes finer, walking each season week by week and asking whether that manager’s record was above water at the time; it covers 2021–2025, the seasons with a loaded game log. Expected vs average asks a different question again: forget the schedule, how many wins did the scoring earn above a perfectly average team?

Read across: the row manager’s record against the column manager. Playoffs cover all ten seasons; regular season covers only the years whose game logs are loaded. Use the manager filter at the top to cut the grid down to the people you care about.

Every trade since the league's transaction logs begin, the season being played included. A trade counts once for each side, so the two managers in a deal each get credit for it. In and out count players, not deals: a three-for-one shows up as 3 in and 1 out for the side receiving three.

Yahoo keeps, for every player and every week, the share of all its leagues that had him rostered and the share that started him. Set against that, each Deadshot lineup shows who follows the crowd, who goes against it and wins, and who finds players before everyone else does. Regular season only. A first version: the measures may still be tuned.

Season length has been 13, 14 and 15 games, so the headline records are per game; raw totals are kept separately and labelled as counting records, because a 15-game season will always out-total a 13-game one. Single-season records have no minimum, because one enormous year is a real record no matter how briefly someone played. The career rate tables below (win %, average finish, power index, luck) exclude one-season managers, whose tiny samples otherwise own every extreme; the career counting tables (total points, playoff wins) include short careers, since volume cannot be inflated by one. The tables follow the manager filter at the top of the page; when the actual league record belongs to someone the filter is hiding, it is named under that table, so a narrowed view never passes itself off as the league record.

Nothing here is a black box. Each row gives what the metric answers, the arithmetic behind it, and what it cannot see.