Overview
This is the raw stats document behind the Treat-ies. Two organizational views:
- By Category โ every stat shown as a ranked table across all managers, with definitions inline.
- By Manager โ one card per manager showing all their stats and where they rank in the league.
Sources: 03_League_History/Sleeper_2023-2025/sleeper_data.json (matchups, transactions, drafts, rosters, 2023โ2025) + 02_Chat_Corpus/treatment_room_corpus.csv (Treating thread, non-reaction messages). Cole and Curtis are excluded โ no Sleeper-era league history. Rodger and Will Holder are former members shown with reduced opacity for historical context.
Color legend (across all ranked tables):
#1 in league
#2 or #3
Second-worst
Worst
Former member (Rodger / Will Holder)
Rankings are computed across active managers (Mike, Hayden, Greg, Tyler, Ricardo, Ryland, Olivier, Ray, Will Purvis). Will Purvis only has a half-season in 2025 โ interpret his ranks with caution.
League-Wide Single-Game Records
| Record | Manager | Value | When |
| Highest single-week score | Hayden | 211.1 | 2024 wk 16 |
| Lowest single-week score | Ricardo | 30.4 | 2025 wk 18 |
| Largest blowout win (margin) | Mike | +117.3 | 2024 wk 7 |
| Largest blowout loss (margin) | Will Holder | โ117.3 | 2024 wk 7 |
| Closest game ever | Will Holder d. Ray | 136.3 โ 136.6 (0.34 margin) | 2024 wk 13 |
| Highest-scoring loss | Greg (lost to Hayden) | 175.9 (vs 177.1) | 2024 wk 17 |
| Biggest single-player start (1 week) | Jahmyr Gibbs for Mike | 55.9 fpts | 2025 wk 12 |
| Largest single FAAB bid | Ryland on Sam Darnold | $134 | 2024 wk 1 |
Most-Traded Players in League History (Sleeper era)
How it's measured: count of times each player changed hands in any completed trade, 2023โ25 (each appearance in a trade's "adds" dict = +1).
| Player | Times Traded |
| Derrick Henry | 15 |
| Geno Smith | 12 |
| Calvin Ridley | 10 |
| Jerry Jeudy | 9 |
| Matthew Stafford | 9 |
| Kirk Cousins | 9 |
| Terry McLaurin | 9 |
| Mark Andrews | 9 |
| Brandon Aiyuk | 9 |
| Michael Pittman | 9 |
By Stat Category
1. Record & Scoring
How it's measured: Wins / Losses, Points For (PF), Points Against (PA), and Points Per Week (PPW). Includes regular season + playoff games. PPW is total points scored รท games played. Sorted by PPW (higher is better).
| Rank | Manager | PPW | Record | Win % | PF | PA | +/- | Games |
|---|
| 1 | Mike | 142.0 | 34-16 | 68.0% | 7,098 | 6,126 | +972 | 50 |
| 2 | Tyler | 139.1 | 36-15 | 70.6% | 7,096 | 6,426 | +670 | 51 |
| 3 | Greg | 136.2 | 29-21 | 58.0% | 6,808 | 6,418 | +390 | 50 |
| 4 | Ray | 135.3 | 27-23 | 54.0% | 6,765 | 6,352 | +413 | 50 |
| 5 | Hayden | 128.9 | 25-24 | 51.0% | 6,316 | 6,215 | +101 | 49 |
| 6 | Ricardo | 128.8 | 27-22 | 55.1% | 6,309 | 6,129 | +180 | 49 |
| 7 | Ryland | 122.7 | 22-26 | 45.8% | 5,891 | 6,315 | -425 | 48 |
| 8 | Will Holder | 121.4 | 10-22 | 31.2% | 3,885 | 4,018 | -133 | 32 |
| 9 | Olivier | 115.9 | 19-29 | 39.6% | 5,562 | 6,214 | -651 | 48 |
| 10 | Rodger | 109.2 | 12-37 | 24.5% | 5,352 | 6,512 | -1,159 | 49 |
| 11 | Will Purvis | 102.0 | 5-11 | 31.2% | 1,632 | 1,989 | -357 | 16 |
2. Lineup Efficiency
How it's measured: For every week, the highest legal lineup is computed from the manager's entire roster (1 QB, 2 RB, 2 WR, 1 TE, 1 FLEX, 1 SUPER-FLEX, 1 DEF). Lineup Eff % = points actually started รท best possible from the roster, averaged across all weeks. Bench Pts / Wk = average points left unstarted on the bench each week. Higher Eff % = better lineup-setter.
| Rank | Manager | Lineup Eff % | Avg Bench Pts / Wk |
|---|
| 1 | Hayden | 90.9% | 12.8 |
| 2 | Rodger | 87.8% | 15.0 |
| 3 | Tyler | 87.7% | 19.3 |
| 4 | Ray | 87.0% | 20.0 |
| 5 | Greg | 86.9% | 20.7 |
| 6 | Mike | 86.3% | 22.2 |
| 7 | Will Holder | 85.7% | 19.9 |
| 8 | Olivier | 85.0% | 19.7 |
| 9 | Will Purvis | 83.4% | 20.0 |
| 10 | Ricardo | 82.4% | 26.2 |
| 11 | Ryland | 82.3% | 25.8 |
3. Variance / Consistency
How it's measured: Standard deviation of weekly scores across the dataset. Lower stdev = more consistent scoring (closer to manager's average every week). CV % (coefficient of variation) = stdev รท mean ร 100 โ normalizes for scoring level so a high-scoring team and a low-scoring team can be compared directly. Sorted by stdev ascending (most consistent first).
| Rank | Manager | Avg Wk Score | Stdev | CV % |
|---|
| 1 | Will Purvis | 100.2 | 17.8 | 17.7% |
| 2 | Olivier | 111.7 | 22.7 | 20.4% |
| 3 | Ryland | 119.6 | 24.9 | 20.8% |
| 4 | Ray | 134.1 | 26.6 | 19.9% |
| 5 | Mike | 139.3 | 27.3 | 19.6% |
| 6 | Tyler | 137.2 | 27.4 | 20.0% |
| 7 | Greg | 136.8 | 27.7 | 20.2% |
| 8 | Hayden | 128.1 | 27.9 | 21.7% |
| 9 | Will Holder | 118.9 | 28.4 | 23.9% |
| 10 | Ricardo | 122.4 | 28.6 | 23.4% |
| 11 | Rodger | 108.2 | 31.4 | 29.1% |
4. All-Play / Median Wins
How it's measured: All-play record: for each regular-season week, every manager is hypothetically matched against every other manager. You "win" against anyone you outscored that week. Removes schedule luck (you can't blame an unlucky bad-week matchup). Median wins: for each week, you "win" if your score is above the league's median score that week. Median weekly rank: your average rank (1 to 10) among managers each week โ lower is better. #1 / Last weeks: regular-season weeks finished as top or bottom scorer.
| Rank | Manager | All-play W-L | All-play % | Median W-L | Median % | Median Wk Rank | #1 Weeks | Last Weeks |
|---|
| 1 | Mike | 248-130 | 65.6% | 27-15 | 64.3% | 3.0 | 9 | 1 |
| 2 | Tyler | 238-139 | 63.0% | 31-11 | 73.8% | 4.0 | 7 | 2 |
| 3 | Ray | 234-144 | 61.9% | 26-16 | 61.9% | 3.5 | 6 | 0 |
| 4 | Greg | 218-159 | 57.7% | 27-15 | 64.3% | 4.0 | 5 | 4 |
| 5 | Ricardo | 194-184 | 51.3% | 23-19 | 54.8% | 5.0 | 2 | 2 |
| 6 | Hayden | 192-185 | 50.8% | 20-22 | 47.6% | 6.0 | 6 | 3 |
| 7 | Ryland | 177-201 | 46.8% | 18-24 | 42.9% | 6.0 | 2 | 3 |
| 8 | Olivier | 137-240 | 36.2% | 14-28 | 33.3% | 7.0 | 1 | 6 |
| 9 | Rodger | 130-248 | 34.4% | 13-29 | 31.0% | 8.0 | 3 | 14 |
| 10 | Will Holder | 85-167 | 33.7% | 8-20 | 28.6% | 7.0 | 1 | 4 |
| 11 | Will Purvis | 35-91 | 27.8% | 3-11 | 21.4% | 7.5 | 0 | 3 |
5. Playoff Performance โ PPW Gap
How it's measured: Average points scored per week in playoff games minus average per week in regular-season games. Positive = scores more in playoffs (clutch). Negative = scores less (choke). Counts only games with a confirmed playoff-bracket matchup_id (excludes consolation rounds). Sorted by gap descending.
| Rank | Manager | Reg PPW | Playoff PPW | Gap |
|---|
| 1 | Will Holder | 118.4 | 142.1 | +23.7 |
| 2 | Greg | 132.4 | 155.6 | +23.2 |
| 3 | Tyler | 136.8 | 147.5 | +10.7 |
| 4 | Mike | 141.1 | 146.5 | +5.4 |
| 5 | Hayden | 128.5 | 133.8 | +5.3 |
| 6 | Ray | 135.2 | 138.5 | +3.3 |
| 7 | Will Purvis | 102.2 | 100.7 | -1.4 |
| 8 | Ricardo | 128.5 | 127.0 | -1.5 |
| 9 | Olivier | 116.6 | 111.1 | -5.4 |
| 10 | Ryland | 125.0 | 106.8 | -18.2 |
| 11 | Rodger | 111.9 | 87.6 | -24.3 |
6. Trade Volume
How it's measured: Completed trades and the number of distinct trade partners across the 3 Sleeper seasons. Sorted by trade count descending.
| Rank | Manager | Completed Trades | Distinct Partners |
|---|
| 1 | Rodger | 159 | 10 |
| 2 | Hayden | 117 | 9 |
| 3 | Will Holder | 66 | 9 |
| 4 | Greg | 60 | 10 |
| 5 | Ryland | 56 | 9 |
| 6 | Mike | 42 | 10 |
| 7 | Tyler | 38 | 9 |
| 8 | Ricardo | 29 | 8 |
| 9 | Ray | 20 | 8 |
| 10 | Will Purvis | 20 | 8 |
| 11 | Olivier | 19 | 8 |
7. Trade Quality (Hindsight)
How it's measured: For each completed trade: sum the fantasy points the acquired players have scored since the trade date, minus the points the given-up players have scored since the trade date. Both forward-looking, both running through the end of 2025. Excludes draft picks (those are captured separately in Pick Flow). Net Fpts / Trade = manager's career trade net รท number of trades. Caveat: trades made earlier in the dataset accumulate more "after fpts" than later trades, so volume traders are slightly penalized.
| Rank | Manager | # Trades | Net Fpts | Net Fpts / Trade |
|---|
| 1 | Greg | 60 | +4,552 | +75.9 |
| 2 | Tyler | 38 | +2,756 | +72.5 |
| 3 | Will Holder | 66 | +4,569 | +69.2 |
| 4 | Mike | 42 | +986 | +23.5 |
| 5 | Will Purvis | 20 | +320 | +16.0 |
| 6 | Olivier | 19 | -117 | -6.2 |
| 7 | Rodger | 159 | -3,180 | -20.0 |
| 8 | Ryland | 56 | -2,059 | -36.8 |
| 9 | Hayden | 117 | -4,604 | -39.3 |
| 10 | Ray | 20 | -846 | -42.3 |
| 11 | Ricardo | 29 | -2,378 | -82.0 |
8. Pick Flow Through Trades
How it's measured: For each draft pick that changed hands in a completed trade, count one to the receiver, one to the giver. Weighted values weight R1 picks as 4, R2 as 3, R3 as 2, R4+ as 1. Net Picks = picks received minus picks given. Weighted Net = same with weighting. Positive = accumulated pick value. From Dead Teams = picks received specifically from Rodger or Will Holder (the league's two destroyed rosters who tanked and traded their futures).
| Rank | Manager | Picks Received | Picks Given | Net Picks | Weighted Net | # From Dead Teams | Wtd Dead |
|---|
| 1 | Tyler | 38 | 7 | +31 | +106 | 12 | 35 |
| 2 | Ricardo | 20 | 13 | +7 | +29 | 7 | 20 |
| 3 | Will Holder | 29 | 22 | +7 | +25 | 8 | 23 |
| 4 | Mike | 34 | 26 | +8 | +23 | 7 | 18 |
| 5 | Ray | 14 | 7 | +7 | +17 | 3 | 7 |
| 6 | Olivier | 19 | 13 | +6 | +8 | 4 | 12 |
| 7 | Will Purvis | 14 | 12 | +2 | +4 | 5 | 11 |
| 8 | Rodger | 63 | 69 | -6 | -16 | 6 | 20 |
| 9 | Ryland | 27 | 36 | -9 | -32 | 5 | 14 |
| 10 | Hayden | 54 | 69 | -15 | -54 | 25 | 75 |
| 11 | Greg | 27 | 65 | -38 | -110 | 9 | 29 |
9. Roster Churn / Waivers
How it's measured: Count of player adds and drops via waivers / free-agency / commissioner moves (not trades). FAAB Spent = total Free-Agent-Acquisition-Budget dollars spent on successful waiver claims, all 3 seasons combined.
| Rank | Manager | Adds | Drops | FAAB Spent |
|---|
| 1 | Rodger | 321 | 315 | $214 |
| 2 | Hayden | 237 | 187 | $92 |
| 3 | Mike | 125 | 103 | $247 |
| 4 | Ryland | 117 | 101 | $380 |
| 5 | Olivier | 104 | 94 | $144 |
| 6 | Tyler | 95 | 74 | $120 |
| 7 | Ricardo | 95 | 71 | $265 |
| 8 | Greg | 82 | 70 | $109 |
| 9 | Will Holder | 63 | 75 | $25 |
| 10 | Ray | 60 | 47 | $98 |
| 11 | Will Purvis | 40 | 45 | $44 |
10. FAAB Efficiency
How it's measured: Total fantasy points produced by players acquired via FAAB-waiver bids (from the week of acquisition through end of dataset), divided by total FAAB dollars spent. Higher = more value per dollar. Captures both bid discipline (didn't overpay) and roster scouting on free agents.
| Rank | Manager | Spent | Total Fpts | Fpts per $ |
|---|
| 1 | Hayden | $92 | 5,458 | 59.33 |
| 2 | Will Holder | $25 | 700 | 28.01 |
| 3 | Tyler | $120 | 3,107 | 25.89 |
| 4 | Olivier | $144 | 3,723 | 25.86 |
| 5 | Rodger | $214 | 5,476 | 25.59 |
| 6 | Ricardo | $265 | 6,531 | 24.65 |
| 7 | Greg | $109 | 2,677 | 24.56 |
| 8 | Mike | $247 | 5,368 | 21.73 |
| 9 | Ryland | $380 | 5,362 | 14.11 |
| 10 | Ray | $98 | 257 | 2.62 |
| 11 | Will Purvis | $44 | 38 | 0.87 |
11. Player Retention
How it's measured: Median holding period: for every player a manager acquired and later dropped/traded, count days held. Median across all such holds (currently-rostered players excluded). Players 700+ days: count of currently-rostered players the manager has held continuously since the start of the dataset (capture window ~828 days). Higher = more loyal / less churn-prone.
| Rank | Manager | Median Days Held | Avg Days Held | Players 700+ Days |
|---|
| 1 | Ray | 34.7 | 164.7 | 10 |
| 2 | Olivier | 24.1 | 111.9 | 5 |
| 3 | Ricardo | 21.7 | 80.0 | 8 |
| 4 | Greg | 20.8 | 84.2 | 4 |
| 5 | Ryland | 18.1 | 71.7 | 4 |
| 6 | Mike | 15.5 | 62.8 | 3 |
| 7 | Will Holder | 14.6 | 60.4 | 0 |
| 8 | Tyler | 9.9 | 75.7 | 0 |
| 9 | Will Purvis | 9.1 | 26.9 | 4 |
| 10 | Rodger | 7.7 | 29.5 | 1 |
| 11 | Hayden | 5.0 | 26.4 | 3 |
12. Rookie Draft Performance
How it's measured: Rookie picks made across the 2023, 2024, and 2025 rookie drafts. Yr1 fpts = regular-season points the picked player scored in their first NFL season (the season immediately following the draft). Yr1 hits = picks that produced 100+ fpts in their rookie year. Yr1 fpts / pick = total yr-1 fpts รท picks made. Higher = better rookie evaluator.
| Rank | Manager | # Picks | Total Yr1 Fpts | Yr1 Hits (100+) | Yr1 Fpts/Pick |
|---|
| 1 | Ryland | 7 | 877 | 4 | 125.3 |
| 2 | Hayden | 7 | 806 | 4 | 115.2 |
| 3 | Olivier | 7 | 703 | 4 | 100.5 |
| 4 | Ricardo | 7 | 631 | 4 | 90.1 |
| 5 | Will Purvis | 3 | 258 | 1 | 86.1 |
| 6 | Tyler | 4 | 258 | 1 | 64.6 |
| 7 | Ray | 8 | 502 | 3 | 62.8 |
| 8 | Rodger | 11 | 532 | 1 | 48.3 |
| 9 | Mike | 3 | 120 | 0 | 40.1 |
| 10 | Will Holder | 2 | 53 | 0 | 26.7 |
| 11 | Greg | 1 | 4 | 0 | 3.8 |
13. Schedule Strength
How it's measured: For each regular-season game, the opponent's season-average points-per-week. Averaged across all the manager's regular-season opponents. Higher = harder schedule (faced stronger opponents). Lower = easier road to the playoffs.
| Rank (Hardest) | Manager | Avg Opp Season PF |
|---|
| 1 | Will Holder | 131.1 |
| 2 | Olivier | 129.1 |
| 3 | Rodger | 128.0 |
| 4 | Ryland | 127.9 |
| 5 | Hayden | 126.9 |
| 6 | Ricardo | 126.8 |
| 7 | Greg | 126.5 |
| 8 | Ray | 125.8 |
| 9 | Mike | 125.0 |
| 10 | Tyler | 124.6 |
| 11 | Will Purvis | 123.3 |
14. Clutch โ Win % Above Own Avg vs Below
How it's measured: Take each manager's own career-average score. Bucket every game into "above avg" or "at-or-below avg." Report W-L in each bucket. Win % above = win rate when scoring above own avg. Win % below = win rate when scoring at-or-below own avg. A manager who wins below-avg games either has good schedule luck or wins close ones; one who never does is purely score-driven.
| Rank | Manager | Own Avg | Above-Avg W-L | Win % Above | Below-Avg W-L | Win % Below |
|---|
| 1 | Mike | 142 | 21-1 | 95% | 13-15 | 46% |
| 2 | Tyler | 139 | 23-4 | 85% | 13-11 | 54% |
| 3 | Ray | 135 | 23-4 | 85% | 4-19 | 17% |
| 4 | Ricardo | 129 | 19-4 | 83% | 8-18 | 31% |
| 5 | Greg | 136 | 22-6 | 79% | 7-15 | 32% |
| 6 | Ryland | 123 | 19-6 | 76% | 3-20 | 13% |
| 7 | Hayden | 129 | 15-5 | 75% | 10-19 | 34% |
| 8 | Olivier | 116 | 13-10 | 57% | 6-19 | 24% |
| 9 | Will Purvis | 102 | 5-4 | 56% | 0-7 | 0% |
| 10 | Rodger | 109 | 12-10 | 55% | 0-27 | 0% |
| 11 | Will Holder | 121 | 9-10 | 47% | 1-12 | 8% |
15. Chat Behavior
How it's measured: Messages and reactions in the main "Treating" group chat (2022โ2026). React:Msg = total tapback reactions given รท messages sent. >1 = reacts more than posts. Msgs / Trade = total chat messages รท completed trades โ a "talk-to-action" ratio (lower = more efficient communicator).
| Rank | Manager | Messages | Reactions | React:Msg | Avg Length | Emoji % | Msgs / Trade |
|---|
| 1 | Ricardo | 45,420 | 16,214 | 0.36 | 36 | 0.6% | 1,566 |
| 2 | Ryland | 29,598 | 13,860 | 0.47 | 38 | 1.3% | 529 |
| 3 | Mike | 29,432 | 12,345 | 0.42 | 34 | 4.0% | 701 |
| 4 | Will Holder | 27,621 | 6,705 | 0.24 | 26 | 9.3% | 418 |
| 5 | Greg | 19,556 | 5,190 | 0.27 | 31 | 4.0% | 326 |
| 6 | Rodger | 18,047 | 2,688 | 0.15 | 28 | 4.4% | 114 |
| 7 | Hayden | 14,297 | 6,138 | 0.43 | 29 | 4.2% | 122 |
| 8 | Olivier | 4,715 | 615 | 0.13 | 37 | 5.7% | 248 |
| 9 | Tyler | 4,515 | 6,626 | 1.47 | 28 | 28.9% | 119 |
| 10 | Ray | 1,664 | 179 | 0.11 | 40 | 3.0% | 83 |
| 11 | Will Purvis | 1,354 | 1,351 | 1.00 | 28 | 3.5% | 68 |