RRosternomics
𝕏

Yankees NYY

‹ ›

GM: Brian Cashman

Overview

CONTEND ↗ rising
expensive & winning · year 2 in this regime · payroll 1.22× league · TAB +16.5
+16.5TAB — talent above budget3rd/30
+15.5WAB — realized wins (TAB + luck)6th/30
10.0depth — 2+ WAR regulars3rd/30
-2.1dead WAR — sub-replacement drag2nd/30
14%dead money %1st/30
0.617win %3rd/30
53.2roster fWAR3rd/30
+21surplus $M (value vs cost)7th/30
$160Mpayroll $M9th/30

2018: made playoffs · 100–62. Ranks are vs the 30 teams that season.

Roster

CFAaron Hicks 131GBrett Gardner 34GShane Robinson 2G
LFBrett Gardner 107GGiancarlo Stanton 36GAndrew McCutchen 12G
RFAndrew McCutchen 143GAaron Judge 90GGiancarlo Stanton 37G
SSDidi Gregorius 132GAdeiny Hechavarría 92GGleyber Torres 21G
2BGleyber Torres 109GNeil Walker 32GTyler Wade 26G
3BMiguel Andujar 136GNeil Walker 25GRonald Torreyes 11G
1BGreg Bird 74GNeil Walker 42GLuke Voit 35G
STARTERSLuis Severino 5.3WARMasahiro Tanaka 2.4WARCC Sabathia 2.3WARLance Lynn 2.0WARSonny Gray 1.5WAR
CAustin Romine 76GGary Sánchez 76GKyle Higashioka 27G
DHGiancarlo Stanton 85GAaron Judge 19GMiguel Andujar 14G
BULLPEN★ Aroldis Chapman 32svDavid Robertson 21hDellin Betances 20hChad Green 13hZack Britton 9hJonathan Holder 7hGeorge Kontos 5hA.J. Cole 0h
CAustin Romine 76 · Gary Sánchez 76 · Kyle Higashioka 27
1BGreg Bird 74 · Neil Walker 42 · Luke Voit 35
2BGleyber Torres 109 · Neil Walker 32 · Tyler Wade 26
3BMiguel Andujar 136 · Neil Walker 25 · Ronald Torreyes 11
SSDidi Gregorius 132 · Adeiny Hechavarría 92 · Gleyber Torres 21
LFBrett Gardner 107 · Giancarlo Stanton 36 · Andrew McCutchen 12
CFAaron Hicks 131 · Brett Gardner 34 · Shane Robinson 2
RFAndrew McCutchen 143 · Aaron Judge 90 · Giancarlo Stanton 37
DHGiancarlo Stanton 85 · Aaron Judge 19 · Miguel Andujar 14
SPLuis Severino 5.3 · Masahiro Tanaka 2.4 · CC Sabathia 2.3 · Lance Lynn 2.0 · Sonny Gray 1.5
BP★ Aroldis Chapman 32 · David Robertson 21 · Dellin Betances 20 · Chad Green 13 · Zack Britton 9 · Jonathan Holder 7 · George Kontos 5 · A.J. Cole 0

Each position lists its starter then backups by games (so platoons & bench show). Starters (mound) & bullpen (left, foul territory) are ranked by WAR; ★ marks the closer (most save chances). MLB Stats API.

2018 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Luis Severino 24 arb 325.3 0.6 +17.6
Aaron Judge 26 pre-arb 1125.0 0.6 +16.4
Aaron Hicks 28 arb 1374.0 2.8 +10.9
Miguel Andujar 23 pre-arb 1493.9 0.5 +12.6
Giancarlo Stanton 28 FA-elig 1583.8 25.0 -12.1
Didi Gregorius 28 FA-elig 1343.3 8.2 +2.9
Gleyber Torres 21 pre-arb 1232.5 0.5 +7.9
Masahiro Tanaka 29 arb 272.4 22.0 -13.9
CC Sabathia 37 FA-elig 292.3 10.0 -2.3
Austin Romine 29 FA-elig 772.0 1.1 +5.8
Lance Lynn↔ MIN 31 FA-elig 112.0 4.3 +2.5
Brett Gardner 34 FA-elig 1401.9 11.5 -4.9
Aroldis Chapman 30 FA-elig 551.8 17.2 -11.0
Dellin Betances 30 FA-elig 661.7 5.1 +0.6
Chad Green 27 pre-arb 631.7 0.6 +5.1
Luke Voit↔ STL 27 pre-arb 391.5 0.1 +5.1
Sonny Gray 28 arb 301.5 6.5 -1.4
David Robertson 33 FA-elig 691.4 13.0 -8.1
Jonathan Holder 25 pre-arb 601.2 0.6 +3.6
Gary Sánchez 25 arb 891.0 0.6 +2.9
J.A. Happ↔ TOR 35 FA-elig 111.0 4.6 -1.3
Domingo Germán 25 pre-arb 210.8 0.3 +2.5
Andrew McCutchen↔ SFG 31 FA-elig 250.7 2.4 -0.0
Jordan Montgomery 25 pre-arb 60.4 0.6 +0.9
Jonathan Loáisiga 23 pre-arb 90.4 0.5 +0.8
Luis Cessa 26 pre-arb 160.4 0.3 +1.0
Adam Warren↔ SEA 30 FA-elig 240.3 1.7 -0.5
Tyler Austin↔ MIN 26 – 340.3 0.1 +1.0
Kyle Higashioka 28 pre-arb 290.2 0.3 +0.4
Shane Robinson 33 arb 250.1 0.2 +0.3
Stephen Tarpley 25 – 100.1 0.1 +0.4
Zack Britton↔ BAL 30 FA-elig 250.1 7.3 -7.0
George Kontos↔ CLE 33 FA-elig 10.1 0.1 +0.1
Tommy Kahnle 28 arb 240.1 1.3 -1.1
Jace Peterson↔ BAL 28 – 30.0 0.0 +0.0
David Hale↔ MIN 30 pre-arb 3-0.0 0.0 -0.1
Giovanny Gallegos↔ STL 26 – 4-0.0 0.0 -0.2
Billy McKinney↔ TOR 23 – 2-0.0 0.0 -0.2
Adeiny Hechavarría↔ PIT 29 FA-elig 18-0.0 1.1 -1.3
Ronald Torreyes 25 arb 41-0.1 0.6 -0.8
Greg Bird 25 arb 82-0.1 0.6 -0.8
Justus Sheffield 22 – 3-0.1 0.0 -0.4
Clint Frazier 23 pre-arb 15-0.1 0.6 -1.0
A.J. Cole↔ WSN 26 arb 28-0.1 0.5 -1.0
Tyler Wade 23 pre-arb 36-0.2 0.6 -1.2
Chance Adams 23 – 3-0.2 0.1 -0.8
Chasen Shreve↔ STL 27 arb 40-0.2 0.6 -1.3
Brandon Drury↔ TOR 25 arb 18-0.3 0.4 -1.3
Neil Walker 32 FA-elig 113-0.6 4.0 -5.9

Key additions (new vs 2017)

PlayerfWAR
Giancarlo Stanton3.8
Gleyber Torres2.5
Lance Lynn2.0
Luke Voit1.5
J.A. Happ1.0
Andrew McCutchen0.7

Key subtractions (gone from 2017)

Player2017 fWAR
Starlin Castro2.8
Todd Frazier1.7
Michael Pineda1.0
Jaime García0.3
Bryan Mitchell0.2
Garrett Cooper0.1

Current & Historical Payroll

2018 payroll
$159.9M
2019 guaranteed
$26.0M

What the front office was committed to as of 2018, 2018–2024. Guaranteed $ are contract commitments signed by 2018; arbitration & free-agent years are projected from service time. Hover a figure for its luxury-tax (CBT) & actual-cash values.

current $ guaranteed $ arbitration (proj) pre-arb (proj) free agent club option player option mutual option vesting option

Guaranteed / signed (9)

PlayerAgeSvc2018201920202021202220232024
Giancarlo Stanton287.118$25.0M$26.0M$9.6M$29.0MOPT-OUT$29.0M$32.0M$32.0M
Aroldis Chapman307.009$17.2MFREE AGENT
David Robertson339.070$13.0MFREE AGENT
Brett Gardner349.072$11.5MFREE AGENT
CC Sabathia3717.000$10.0MFREE AGENT
J.A. Happ359.047$4.6MFREE AGENT
Lance Lynn316.119$4.3MFREE AGENT
Neil Walker327.166$4.0MFREE AGENT
Andrew McCutchen318.123$2.4MCLUBFREE AGENT

Arbitration-eligible (13)

PlayerAgeSvc2018201920202021202220232024
Masahiro Tanaka294.000$22.0MARB 3FREE AGENT
Didi Gregorius284.159$8.2MARB 3FREE AGENT
Zack Britton305.158$7.3MFREE AGENT
Sonny Gray284.061$6.5MARB 3FREE AGENT
Dellin Betances304.078$5.1MARB 3FREE AGENT
Aaron Hicks284.041$2.8MARB 3FREE AGENT
Adam Warren305.036$1.7MFREE AGENT
Tommy Kahnle283.015$1.3MARB 2ARB 3FREE AGENT
Adeiny Hechavarría295.060$1.1MFREE AGENT
Austin Romine294.044$1.1MARB 3FREE AGENT
Shane Robinson335.012$199kFREE AGENT
George Kontos334.171$97kARB 3FREE AGENT
Jace Peterson283.033$15kARB 2ARB 3FREE AGENT

Pre-arbitration (27)

PlayerAgeSvc2018201920202021202220232024
Aaron Judge261.051$622kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Gary Sánchez251.086$620kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ronald Torreyes252.022$616kARB 1ARB 2ARB 3FREE AGENT
Luis Severino241.170$605kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Greg Bird252.053$582kARB 1ARB 2ARB 3FREE AGENT
Jordan Montgomery250.153$580kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Chad Green271.050$571kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Clint Frazier230.093$559kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jonathan Holder250.144$554kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tyler Wade230.081$551kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Chasen Shreve272.167$550kARB 1ARB 2ARB 3FREE AGENT
Jonathan Loáisiga230.000$545kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Gleyber Torres210.000$545kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Miguel Andujar230.020$540kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
A.J. Cole260.152$486kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Brandon Drury252.034$431kARB 1ARB 2ARB 3FREE AGENT
Domingo Germán250.071$348kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Luis Cessa261.012$315kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Kyle Higashioka280.030$272kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Luke Voit270.093$136kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tyler Austin261.029$115kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Stephen Tarpley250.000$88kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Chance Adams230.000$73kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
David Hale301.168$42kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Justus Sheffield220.000$38kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Giovanny Gallegos260.062$28kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Billy McKinney230.000$8kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Yankees 2018; the black line = the league-average player at each slot that season. Staying above the line deep into the roster is the depth edge; dropping below it = holes & dead weight.

What each regime is worth — every settled team-season since 1985

RegimeSeasonsWin %Playoff %Pennant %WS %
WINDOW 28952.230.14.81.0
CONTEND 31156.863.019.310.3
FORCED-SPEND 26047.98.81.21.2
REBUILD 32843.31.20.30.3
Rosternomics — quantifying front-office skill, attribution-clean. Follow @rosternomics on X. Decision-makers on record back to 1933; resource-controlled metrics (WAR & payroll) cover 1985–2026.
Data: FanGraphs (WAR), Baseball-Reference & the Chadwick Bureau register (rosters, IDs), the Lahman Database, Baseball America prospect rankings (via The Baseball Cube), and public payroll records. Transaction and trade data was obtained free of charge from and is copyrighted by Retrosheet. Executive birth/death data via Wikidata (CC0); bios are original. Emoji graphics by OpenMoji (CC BY-SA 4.0).
All figures are franchise-level outcomes credited to the decision-maker in the acquisition year — not solely attributable to one executive.
const FONT={family:"'Roboto Mono', monospace",size:12}; const ORBIT = [[1985, 1.352, 12.53], [1986, 1.402, 5.33], [1987, 1.533, -3.16], [1988, 1.649, -8.48], [1989, 1.029, -2.54], [1990, 1.173, -15.29], [1991, 1.143, -10.09], [1992, 1.109, 0.62], [1993, 1.381, 6.52], [1994, 1.436, 12.5], [1995, 1.58, -0.14], [1996, 1.512, 2.43], [1997, 1.605, 6.43], [1998, 1.588, 17.45], [1999, 1.803, 5.82], [2000, 1.888, -3.47], [2001, 1.882, 2.14], [2002, 2.002, 13.92], [2003, 2.112, 11.88], [2004, 2.76, -6.07], [2005, 2.884, -14.29], [2006, 2.544, -3.91], [2007, 2.523, 2.09], [2008, 2.484, -6.98], [2009, 2.281, 9.29], [2010, 2.38, 3.28], [2011, 2.079, 11.29], [2012, 2.121, 7.41], [2013, 2.304, -15.17], [2014, 2.004, -7.44], [2015, 1.794, -2.14], [2016, 1.742, -7.29], [2017, 1.43, 13.9], [2018, 1.224, 16.54], [2019, 1.67, 8.1], [2021, 1.736, -0.91], [2022, 1.725, 14.19], [2023, 1.693, -12.33], [2024, 1.823, 7.16], [2025, 1.578, 10.87], [2026, 1.702, 6.42]], TEAMCOL = '#1A2B5E'; function contrastColor(hex,dark){let r=parseInt(hex.slice(1,3),16)/255,g=parseInt(hex.slice(3,5),16)/255,b=parseInt(hex.slice(5,7),16)/255; const mx=Math.max(r,g,b),mn=Math.min(r,g,b);let h=0,s=0,l=(mx+mn)/2; if(mx!==mn){const d=mx-mn;s=l>0.5?d/(2-mx-mn):d/(mx+mn);h=mx===r?(g-b)/d+(g1)t-=1;if(t<1/6)return p+(q-p)*6*t;if(t<0.5)return q;if(t<2/3)return p+(q-p)*(2/3-t)*6;return p;} let R,G,B;if(s===0){R=G=B=L;}else{const q=L<0.5?L*(1+s):L+s-L*s,p=2*L-q;R=h2(p,q,h+1/3);G=h2(p,q,h);B=h2(p,q,h-1/3);} const x=v=>('0'+Math.round(v*255).toString(16)).slice(-2);return '#'+x(R)+x(G)+x(B);} const CURRENT_YEAR = 2018; function drawOrbit(){ const orbEl=document.getElementById('orbit'); if(!ORBIT || ORBIT.length<2){ orbEl.innerHTML='

Not enough history to chart.

'; return; } const f=+document.getElementById('yfrom').value, t=+document.getElementById('yto').value, w=+document.getElementById('win').value; document.getElementById('yflab').textContent=f; document.getElementById('ytlab').textContent=t; document.getElementById('winlab').textContent = w===1?'raw':(w+'-yr'); const dark=document.documentElement.getAttribute('data-theme')==='dark'; const ink=dark?'#cdd4dc':'#1d2630', grid=dark?'#2c313a':'#d6dbe2', refc=dark?'#5a636d':'#9aa3ad', dirc=dark?'#ffffff':'#1d2630'; const col=contrastColor(TEAMCOL,dark); function sm(a,w){const h=(w-1)/2,o=[];for(let i=0;id[0]>=f&&d[0]<=t); if(raw.length<2){ Plotly.purge('orbit'); orbEl.innerHTML='

Pick a wider year range.

'; return; } const s=sm(raw,w),n=s.length,X=s.map(d=>Math.round(d[1]*100)/100),Y=s.map(d=>Math.round(d[2]*10)/10),yr=s.map(d=>d[0]); let xa=Math.min(1,...X),xb=Math.max(1,...X),ya=Math.min(0,...Y),yb=Math.max(0,...Y); const px=(xb-xa)*.12+.04,py=(yb-ya)*.12+1.5;xa-=px;xb+=px;ya-=py;yb+=py; const k=Math.max(0,n-3), ann=[]; [['WINDOW','#15b6a0',xa<1&&yb>0,xa,yb,'left','top'],['CONTEND','#2f7ed8',xb>1&&yb>0,xb,yb,'right','top'], ['FORCED-SPEND','#ec5a3c',xb>1&&ya<0,xb,ya,'right','bottom'],['REBUILD','#f0a91c',xa<1&&ya<0,xa,ya,'left','bottom']].forEach(q=>{ if(q[2]) ann.push({x:q[3],y:q[4],xref:'x',yref:'y',text:q[0],showarrow:false,xanchor:q[5],yanchor:q[6],font:{size:10,color:q[1]},opacity:.85});}); ann.push({x:X[n-1],y:Y[n-1],ax:X[n-1]-0.5*(X[n-1]-X[k]),ay:Y[n-1]-0.5*(Y[n-1]-Y[k]),xref:'x',yref:'y',axref:'x',ayref:'y',showarrow:true,arrowhead:2,arrowsize:1.3,arrowwidth:1.7,arrowcolor:dirc,text:''}); Plotly.newPlot('orbit',[{x:X,y:Y,mode:'lines+markers',line:{color:col,width:2.6,shape:'spline',smoothing:0.7}, marker:{color:col,size:s.map((d,i)=>5+7*(i/Math.max(1,n-1))),line:{color:dark?'#1b1e23':'#fff',width:0.6}}, text:yr,hovertemplate:'%{text}
payroll %{x:.2f}× lg · TAB %{y:+.1f}
'+(w===1?'single season (raw)':w+'-yr smoothed avg')+''}], {margin:{l:50,r:14,t:10,b:40},paper_bgcolor:'rgba(0,0,0,0)',plot_bgcolor:'rgba(0,0,0,0)',font:FONT, xaxis:{title:{text:'relative payroll (× lg avg)',font:{size:11}},range:[xa,xb],gridcolor:grid,zeroline:false}, yaxis:{title:{text:'TAB (talent above budget)',font:{size:11}},range:[ya,yb],gridcolor:grid,zeroline:false}, shapes:[{type:'line',x0:1,x1:1,y0:ya,y1:yb,line:{color:refc,width:1,dash:'dot'}},{type:'line',x0:xa,x1:xb,y0:0,y1:0,line:{color:refc,width:1,dash:'dot'}}], annotations:ann},{displayModeBar:false,responsive:true}); } (function initOrbitSliders(){ const yf=document.getElementById('yfrom'), yt=document.getElementById('yto'); if(ORBIT && ORBIT.length>=2){ const yrs=ORBIT.map(d=>d[0]), y0=Math.min(...yrs), y1=Math.max(...yrs); yf.min=y0; yf.max=y1; yf.value=y0; yt.min=y0; yt.max=y1; yt.value=Math.max(y0, Math.min(CURRENT_YEAR, y1)); yf.addEventListener('input',()=>{ if(+yf.value>+yt.value) yt.value=yf.value; drawOrbit(); }); yt.addEventListener('input',()=>{ if(+yt.value<+yf.value) yf.value=yt.value; drawOrbit(); }); document.getElementById('win').addEventListener('input',drawOrbit); } // only paint on load if the orbit pane is the visible default (else it'd draw into a 0-width hidden box) const _op=document.querySelector('.gpane[data-g="orbit"]'); if(!_op || _op.style.display!=='none') drawOrbit(); })(); new MutationObserver(()=>{ const p=document.querySelector('.gpane[data-g="orbit"]'); if(!p || p.style.display!=='none') drawOrbit(); }).observe(document.documentElement,{attributes:true,attributeFilter:['data-theme']}); // ---- roster depth curve (WAR by roster slot vs league-average-by-slot) ---- const WARDIST = {"cats": ["SP", "OF", "OF", "IF", "OF", "IF", "IF", "SP", "SP", "C", "SP", "OF", "RP", "RP", "RP", "IF", "SP", "RP", "RP", "C", "SP", "SP", "OF", "SP", "RP", "RP", "RP", "IF", "C", "OF", "RP", "RP", "RP", "RP", "IF", "RP", "RP", "OF", "IF", "IF"], "league": [5.36, 3.98, 3.48, 3.03, 2.66, 2.34, 2.06, 1.82, 1.65, 1.41, 1.3, 1.15, 1.0, 0.9, 0.82, 0.76, 0.67, 0.6, 0.52, 0.47, 0.41, 0.35, 0.3, 0.26, 0.22, 0.18, 0.15, 0.12, 0.09, 0.06, 0.04, 0.01, -0.01, -0.03, -0.05, -0.07, -0.09, -0.11, -0.13, -0.18], "names": ["Luis Severino", "Aaron Judge", "Aaron Hicks", "Miguel Andujar", "Giancarlo Stanton", "Didi Gregorius", "Gleyber Torres", "Masahiro Tanaka", "CC Sabathia", "Austin Romine", "Lance Lynn", "Brett Gardner", "Aroldis Chapman", "Dellin Betances", "Chad Green", "Luke Voit", "Sonny Gray", "David Robertson", "Jonathan Holder", "Gary S\u00e1nchez", "J.A. Happ", "Domingo Germ\u00e1n", "Andrew McCutchen", "Jordan Montgomery", "Jonathan Lo\u00e1isiga", "Luis Cessa", "Adam Warren", "Tyler Austin", "Kyle Higashioka", "Shane Robinson", "Stephen Tarpley", "Zack Britton", "George Kontos", "Tommy Kahnle", "Jace Peterson", "David Hale", "Giovanny Gallegos", "Billy McKinney", "Adeiny Hechavarr\u00eda", "Ronald Torreyes"], "ranks": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], "team": [5.34, 5.01, 4.01, 3.87, 3.77, 3.26, 2.49, 2.38, 2.25, 2.01, 2.0, 1.93, 1.83, 1.67, 1.67, 1.54, 1.5, 1.43, 1.23, 1.03, 0.98, 0.84, 0.69, 0.44, 0.41, 0.38, 0.34, 0.31, 0.2, 0.14, 0.14, 0.1, 0.06, 0.05, 0.01, -0.03, -0.04, -0.04, -0.05, -0.06]}; let WD_MODE='raw', WC_MODE='team'; const POSCOL={SP:'#2f7ed8',RP:'#6fb1ec',IF:'#f0a91c',OF:'#15b6a0',C:'#ec5a3c'}; const POSLAB={SP:'Starting P',RP:'Bullpen',IF:'Infield',OF:'Outfield',C:'Catcher'}; function buildPosLegend(){ const el=document.getElementById('poslegend'); if(!el) return; el.style.display=WC_MODE==='pos'?'flex':'none'; el.innerHTML=['SP','RP','C','IF','OF'].map(k=>''+POSLAB[k]+'').join(''); } function drawWarDist(){ if(!WARDIST) return; const dark=document.documentElement.getAttribute('data-theme')==='dark'; const col=contrastColor(TEAMCOL,dark), line=dark?'#e8eef0':'#111', grid=dark?'#2c313a':'#d6dbe2', ink=dark?'#cdd4dc':'#1d2630'; let team=WARDIST.team.slice(), league=WARDIST.league.slice(); if(WD_MODE==='prop'){ const ts=team.reduce((a,b)=>a+Math.max(b,0),0)||1, ls=league.reduce((a,b)=>a+Math.max(b,0),0)||1; team=team.map(v=>v/ts); league=league.map(v=>v/ls); } const fmt=WD_MODE==='prop'?'.1%':'.1f'; const names=WARDIST.names||[], cats=WARDIST.cats||[]; const cd=WARDIST.ranks.map((_,i)=>[names[i]||'(empty slot)', WARDIST.team[i], POSLAB[cats[i]]||'']); const barcol=WC_MODE==='pos'?cats.map(c=>POSCOL[c]||'#9aa3ad'):col; const posbit=WC_MODE==='pos'?' · %{customdata[2]}':''; const htmpl=WD_MODE==='prop' ? '%{customdata[0]}'+posbit+'
slot %{x} · %{customdata[1]:.1f} WAR
%{y:.1%} of roster WAR' : '%{customdata[0]}'+posbit+'
slot %{x} · %{y:.1f} WAR'; buildPosLegend(); const _div=document.getElementById('wardist'); const traces=[ {type:'bar',x:WARDIST.ranks,y:team,name:'NYY',marker:{color:barcol},customdata:cd,hovertemplate:htmpl}, {type:'scatter',x:WARDIST.ranks,y:league,name:'league avg',mode:'lines',line:{color:line,width:2,shape:'spline',smoothing:0.6},hovertemplate:'league slot %{x}: %{y:'+fmt+'}'} ]; const layout={margin:{l:48,r:12,t:6,b:38},paper_bgcolor:'rgba(0,0,0,0)',plot_bgcolor:'rgba(0,0,0,0)',font:FONT, transition:{duration:360,easing:'cubic-in-out'}, xaxis:{title:{text:'roster slot (ranked by WAR)',font:{size:11}},gridcolor:grid,zeroline:false,color:ink}, yaxis:{title:{text:WD_MODE==='prop'?'share of roster WAR':'WAR',font:{size:11}},gridcolor:grid,zeroline:true,zerolinecolor:grid,color:ink,tickformat:WD_MODE==='prop'?'.0%':undefined}, showlegend:true,legend:{orientation:'h',y:1.13,x:0,font:{size:11}},bargap:0.14}; if(_div.data&&_div.data.length){ Plotly.react(_div,traces,layout,{displayModeBar:false,responsive:true}); } else { Plotly.newPlot(_div,traces,layout,{displayModeBar:false,responsive:true}); } } window.wdMode=function(m){WD_MODE=m;document.getElementById('wd-raw').classList.toggle('on',m==='raw');document.getElementById('wd-prop').classList.toggle('on',m==='prop');drawWarDist();}; window.wcToggle=function(){WC_MODE=WC_MODE==='pos'?'team':'pos';const b=document.getElementById('wc-btn');b.classList.toggle('on',WC_MODE==='pos');b.textContent=WC_MODE==='pos'?'Show team color':'Color by position';drawWarDist();}; // ---- Graphs dropdown switcher (orbit ⇄ roster value distribution) ---- let _wdRendered=false; window.showTeamGraph=function(g){ document.querySelectorAll('.gpane').forEach(p=>{ p.style.display=(p.dataset.g===g)?'':'none'; }); if(g==='orbit'){ drawOrbit(); } else if(g==='roster'){ if(!_wdRendered){ drawWarDist(); _wdRendered=true; } else { try{ Plotly.Plots.resize('wardist'); }catch(e){ drawWarDist(); } } } }; { const _ts=document.getElementById('tgsel'); if(_ts) _ts.addEventListener('change',()=>showTeamGraph(_ts.value)); } // initial paint of the default pane (roster when the team has roster data, else orbit already drawn above) if(WARDIST){ drawWarDist(); _wdRendered=true; } // redraw the roster pane on theme change only if it's been rendered and is visible if(WARDIST){ new MutationObserver(()=>{ const p=document.querySelector('.gpane[data-g="roster"]'); if(_wdRendered && p && p.style.display!=='none') drawWarDist(); }).observe(document.documentElement,{attributes:true,attributeFilter:['data-theme']}); } // ---- TOC scroll-spy ---- (function(){ const links=[...document.querySelectorAll('.toc a')]; const secs=links.map(a=>document.querySelector(a.getAttribute('href'))).filter(Boolean); links.forEach(a=>a.addEventListener('click',e=>{e.preventDefault();document.querySelector(a.getAttribute('href')).scrollIntoView({behavior:'smooth'});})); if('IntersectionObserver' in window && secs.length){ const obs=new IntersectionObserver(es=>{es.forEach(e=>{if(e.isIntersecting) links.forEach(l=>l.classList.toggle('on',l.getAttribute('href')==='#'+e.target.id));});},{rootMargin:'-15% 0px -75% 0px'}); secs.forEach(s=>obs.observe(s)); } })(); // ---- sortable roster table ---- const SVC_RANK={'pre-arb':0,'arb':1,'FA-elig':2,'?':3}; function cellNum(td){const n=parseFloat(td.textContent.replace(/[^0-9.\-]/g,''));return isNaN(n)?null:n;} function scale(v,mn,mx,g){ if(g==='diverge'){ if(v>=0){const t=mx>0?v/mx:0;return `rgba(26,125,90,${(0.10+0.55*t).toFixed(2)})`;} const t=mn<0?v/mn:0;return `rgba(192,73,43,${(0.10+0.55*t).toFixed(2)})`; } if(g==='salmag'){const t=mx>mn?(v-mn)/(mx-mn):0;return `rgba(128,135,143,${(0.05+0.45*t).toFixed(2)})`;} const t=mx>mn?(v-mn)/(mx-mn):0;return `rgba(26,125,90,${(0.05+0.55*t).toFixed(2)})`; } function applyGradients(table){ [...table.tHead.rows[0].cells].forEach((th,ci)=>{ if(!th.dataset.grad) return; const rows=[...table.tBodies[0].rows], vals=rows.map(r=>cellNum(r.cells[ci])).filter(v=>v!==null); if(!vals.length) return; const mn=Math.min(...vals),mx=Math.max(...vals); rows.forEach(r=>{const v=cellNum(r.cells[ci]);if(v!==null)r.cells[ci].style.background=scale(v,mn,mx,th.dataset.grad);}); }); } function makeSortable(table){ const ths=[...table.tHead.rows[0].cells]; ths.forEach((th,ci)=>{ th.dataset.label=th.textContent.trim(); th.addEventListener('click',()=>{ th._dir=(th._dir===-1)?1:-1; const dir=th._dir, tb=table.tBodies[0], svc=th.dataset.sortType==='service'; [...tb.rows].sort((a,b)=>{ let va,vb; if(svc){va=SVC_RANK[a.cells[ci].textContent.trim()]??9;vb=SVC_RANK[b.cells[ci].textContent.trim()]??9;} else{va=cellNum(a.cells[ci]);vb=cellNum(b.cells[ci]); if(va===null||vb===null){va=a.cells[ci].textContent.trim().toLowerCase();vb=b.cells[ci].textContent.trim().toLowerCase();}} return vavb?dir:0; }).forEach(r=>tb.appendChild(r)); ths.forEach(h=>h.innerHTML=h.dataset.label); th.innerHTML=th.dataset.label+' '+(dir===1?'▲':'▼')+''; }); }); } document.querySelectorAll('table.sortable').forEach(t=>{applyGradients(t);makeSortable(t);});