RRosternomics
𝕏

Rays TBR

‹ ›

GM: Andrew Friedman

Overview

WINDOW ↘ cooling
cheap & winning · year 7 in this regime · payroll 0.59× league · TAB +14.9
+14.9TAB — talent above budget2nd/30
+16.2WAB — realized wins (TAB + luck)3rd/30
10.0depth — 2+ WAR regulars5th/30
-1.2dead WAR — sub-replacement drag1st/30
31%dead money %12th/30
0.564win %9th/30
43.1roster fWAR5th/30
+54surplus $M (value vs cost)1st/30
$61Mpayroll $M27th/30

2013: made playoffs · 92–71. Ranks are vs the 30 teams that season.

Roster

CFDesmond Jennings 136GDavid DeJesus 81GSam Fuld 29G
LFMatt Joyce 58GSam Fuld 55GKelly Johnson 53G
RFWil Myers 72GDelmon Young 65GMatt Joyce 58G
SSYunel Escobar 153GBen Zobrist 21GSean Rodríguez 7G
2BBen Zobrist 125GRyan Roberts 48GKelly Johnson 22G
3BEvan Longoria 147GKelly Johnson 16GRyan Roberts 9G
1BJames Loney 154GSean Rodríguez 23GLuke Scott 5G
STARTERSDavid Price 3.9WARAlex Cobb 2.2WARMatt Moore 1.7WARJeremy Hellickson 1.3WARChris Archer 1.1WAR
CJose Lobatón 96GJosé Molina 96GChris Gimenez 1G
DHLuke Scott 63GDelmon Young 28GMatt Joyce 20G
BULLPEN★ Fernando Rodney 37svJoel Peralta 41hJake McGee 27hWesley Wright 9hJamey Wright 6hAlex Torres 5hCesár Ramos 1hBrandon Gomes 0h
CJose Lobatón 96 · José Molina 96 · Chris Gimenez 1
1BJames Loney 154 · Sean Rodríguez 23 · Luke Scott 5
2BBen Zobrist 125 · Ryan Roberts 48 · Kelly Johnson 22
3BEvan Longoria 147 · Kelly Johnson 16 · Ryan Roberts 9
SSYunel Escobar 153 · Ben Zobrist 21 · Sean Rodríguez 7
LFMatt Joyce 58 · Sam Fuld 55 · Kelly Johnson 53
CFDesmond Jennings 136 · David DeJesus 81 · Sam Fuld 29
RFWil Myers 72 · Delmon Young 65 · Matt Joyce 58
DHLuke Scott 63 · Delmon Young 28 · Matt Joyce 20
SPDavid Price 3.9 · Alex Cobb 2.2 · Matt Moore 1.7 · Jeremy Hellickson 1.3 · Chris Archer 1.1
BP★ Fernando Rodney 37 · Joel Peralta 41 · Jake McGee 27 · Wesley Wright 9 · Jamey Wright 6 · Alex Torres 5 · Cesár Ramos 1 · Brandon Gomes 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.

2013 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Evan Longoria 27 arb 1605.5 6.0 +8.7
Ben Zobrist 32 FA-elig 1574.2 5.5 +5.8
David Price 27 arb 273.9 10.1 +0.3
Desmond Jennings 26 arb 1393.0 0.5 +7.7
Yunel Escobar 30 FA-elig 1533.0 5.0 +3.1
José Molina 38 FA-elig 992.6 1.5 +5.5
Wil Myers 22 – 882.3 0.3 +5.9
Alex Cobb 25 pre-arb 222.2 0.5 +5.5
James Loney 29 FA-elig 1582.2 2.0 +4.0
Matt Joyce 28 arb 1402.0 2.5 +3.0
Matt Moore 24 pre-arb 271.7 1.0 +3.5
Jose Lobatón 28 arb 1001.7 0.5 +4.0
Jeremy Hellickson 26 arb 321.3 0.5 +3.1
Alex Torres 25 pre-arb 391.3 0.3 +3.1
Fernando Rodney 36 FA-elig 681.2 2.5 +0.7
Kelly Johnson 31 FA-elig 1181.1 2.5 +0.5
Chris Archer 24 pre-arb 231.1 0.3 +2.6
Sean Rodríguez 28 arb 960.9 1.0 +1.4
Jamey Wright 38 FA-elig 660.5 0.9 +0.4
Jake McGee 26 arb 710.5 0.5 +0.7
Joel Peralta 37 FA-elig 800.5 3.0 -1.8
Luke Scott 35 FA-elig 910.4 2.8 -1.7
Jake Odorizzi 23 pre-arb 70.3 0.1 +0.6
David DeJesus↔ CHC 33 FA-elig 350.3 1.2 -0.5
Ryan Roberts 32 FA-elig 600.2 3.0 -2.4
Delmon Young↔ PHI 27 FA-elig 230.2 0.2 +0.2
Brandon Gomes 28 pre-arb 260.1 0.5 -0.1
Cesár Ramos 29 arb 480.1 0.5 -0.2
Tim Beckham 23 – 50.1 0.0 +0.1
Wesley Wright↔ HOU 28 arb 160.0 0.2 -0.1
Freddy Guzman 32 – 10.0 0.0 -0.0
Kevin Kiermaier 23 – 10.0 – –
Jason Bourgeois 31 pre-arb 9-0.0 0.1 -0.1
Jeff Beliveau 26 pre-arb 1-0.0 0.0 -0.1
Enny Romero 22 – 1-0.0 0.0 -0.1
Alex Colomé 24 – 3-0.0 0.1 -0.2
Josh Lueke 28 pre-arb 19-0.1 0.2 -0.3
Roberto Hernandez 32 FA-elig 32-0.1 3.2 -3.4
Chris Gimenez 30 pre-arb 4-0.1 0.1 -0.3
Kyle Farnsworth↔ PIT 37 FA-elig 39-0.1 1.0 -1.4
Shelley Duncan 33 FA-elig 20-0.2 0.6 -1.2
Sam Fuld 31 FA-elig 119-0.5 0.7 -2.2

Key additions (new vs 2012)

PlayerfWAR
Yunel Escobar3.0
Wil Myers2.3
James Loney2.2
Alex Torres1.3
Kelly Johnson1.1
Jamey Wright0.5

Key subtractions (gone from 2012)

Player2012 fWAR
James Shields3.8
B.J. Upton3.4
Jeff Keppinger2.7
Wade Davis1.0
Elliot Johnson0.7
Carlos Pena0.6

Current & Historical Payroll

2013 payroll
$61.3M

What the front office was committed to as of 2013, 2013–2019. Pre-2015 has no contract-terms data — forward italic $ are realized actuals (hindsight, not commitments known then). Control labels (ARB/FA) are point-in-time.

current $ guaranteed $ actual $ (hindsight) arbitration (proj) pre-arb (proj) free agent

Guaranteed / signed (11)

PlayerAgeSvc2013201420152016201720182019
Roberto Hernandez326.004$3.2MFREE AGENT
Joel Peralta376.132$3.0M$3.0MFREE AGENT
Luke Scott356.144$2.8MFREE AGENT
Fernando Rodney369.137$2.5MFREE AGENT
Kelly Johnson317.127$2.5MFREE AGENT
James Loney296.012$2.0M$1.0M$8.7MFREE AGENT
José Molina3811.026$1.5M$1.8MFREE AGENT
David DeJesus338.146$1.2M$4.2M$3.7MFREE AGENT
Kyle Farnsworth3713.100$1.0MFREE AGENT
Jamey Wright3814.086$900kFREE AGENT
Delmon Young276.034$167kFREE AGENT

Arbitration-eligible (9)

PlayerAgeSvc2013201420152016201720182019
David Price273.164$10.1MARB 2ARB 3FREE AGENT
Evan Longoria274.170$6.0MARB 3FREE AGENT
Ben Zobrist325.134$5.5MFREE AGENT
Yunel Escobar305.121$5.0MFREE AGENT
Ryan Roberts323.150$3.0MARB 2ARB 3FREE AGENT
Matt Joyce283.123$2.5MARB 2ARB 3FREE AGENT
Sean Rodríguez283.133$1.0MARB 2ARB 3FREE AGENT
Shelley Duncan333.077$550kARB 2ARB 3FREE AGENT
Wesley Wright283.105$231kARB 2ARB 3FREE AGENT

Pre-arbitration (22)

PlayerAgeSvc2013201420152016201720182019
Matt Moore241.017$1.0MPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sam Fuld312.140$725kARB 1ARB 2ARB 3FREE AGENT
Jake McGee261.127$506kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jeremy Hellickson262.045$503kARB 1ARB 2ARB 3FREE AGENT
Alex Cobb251.061$502kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Desmond Jennings261.101$502kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Cesár Ramos292.003$501kARB 1ARB 2ARB 3FREE AGENT
Jose Lobatón281.138$496kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Brandon Gomes281.003$490kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Alex Torres250.017$335kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Chris Archer240.035$327kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Wil Myers220.000$278kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Josh Lueke280.109$163kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Alex Colomé240.000$110kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Chris Gimenez302.117$80kARB 1ARB 2ARB 3FREE AGENT
Jake Odorizzi230.018$67kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jason Bourgeois312.074$51kARB 1ARB 2ARB 3FREE AGENT
Jeff Beliveau260.064$38kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Freddy Guzman32–$37k
Tim Beckham230.000$35kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Enny Romero220.000$24kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Kevin Kiermaier230.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Rays 2013; 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 = [[1998, 0.649, -4.67], [1999, 0.794, -11.73], [2000, 0.895, -11.8], [2001, 0.536, -13.91], [2002, 0.517, -11.68], [2003, 0.302, 0.77], [2004, 0.439, -0.79], [2005, 0.428, 1.39], [2006, 0.386, -3.74], [2007, 0.316, 6.38], [2008, 0.533, 21.83], [2009, 0.724, 17.31], [2010, 0.75, 16.32], [2011, 0.48, 18.85], [2012, 0.691, 14.61], [2013, 0.591, 14.91], [2014, 0.674, 5.17], [2015, 0.597, 6.22], [2016, 0.462, 3.07], [2017, 0.628, 5.9], [2018, 0.389, 20.31], [2019, 0.457, 24.78], [2021, 0.501, 23.17], [2022, 0.584, 7.88], [2023, 0.529, 26.37], [2024, 0.513, 2.34], [2025, 0.393, 8.01], [2026, 0.464, 13.89]], TEAMCOL = '#5DA9E0'; 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 = 2013; 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": ["IF", "IF", "SP", "OF", "IF", "C", "OF", "SP", "IF", "OF", "SP", "C", "SP", "RP", "RP", "OF", "SP", "OF", "RP", "RP", "RP", "OF", "SP", "OF", "IF", "OF", "RP", "RP", "IF", "RP", "OF", "OF", "OF", "RP", "SP", "SP", "RP", "SP", "IF", "RP"], "league": [5.83, 4.29, 3.79, 2.96, 2.6, 2.33, 2.15, 1.94, 1.7, 1.5, 1.38, 1.2, 1.04, 0.94, 0.82, 0.72, 0.65, 0.53, 0.47, 0.39, 0.33, 0.26, 0.22, 0.17, 0.14, 0.1, 0.07, 0.04, 0.01, -0.01, -0.05, -0.07, -0.09, -0.11, -0.14, -0.16, -0.21, -0.23, -0.28, -0.29], "names": ["Evan Longoria", "Ben Zobrist", "David Price", "Desmond Jennings", "Yunel Escobar", "Jos\u00e9 Molina", "Wil Myers", "Alex Cobb", "James Loney", "Matt Joyce", "Matt Moore", "Jose Lobat\u00f3n", "Jeremy Hellickson", "Alex Torres", "Fernando Rodney", "Kelly Johnson", "Chris Archer", "Sean Rodr\u00edguez", "Jamey Wright", "Jake McGee", "Joel Peralta", "Luke Scott", "Jake Odorizzi", "David DeJesus", "Ryan Roberts", "Delmon Young", "Brandon Gomes", "Ces\u00e1r Ramos", "Tim Beckham", "Wesley Wright", "Freddy Guzman", "Kevin Kiermaier", "Jason Bourgeois", "Jeff Beliveau", "Enny Romero", "Alex Colom\u00e9", "Josh Lueke", "Roberto Hernandez", "Chris Gimenez", "Kyle Farnsworth"], "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": [5.49, 4.2, 3.88, 3.05, 3.02, 2.61, 2.29, 2.24, 2.23, 2.03, 1.69, 1.68, 1.35, 1.26, 1.19, 1.1, 1.08, 0.9, 0.5, 0.47, 0.46, 0.39, 0.25, 0.25, 0.22, 0.15, 0.13, 0.11, 0.06, 0.04, 0.01, 0.0, -0.01, -0.02, -0.02, -0.05, -0.05, -0.06, -0.08, -0.15]}; 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:'TBR',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);});