RRosternomics
𝕏

Red Sox BOS

‹ ›

GM: Dan Duquette

Overview

CONTEND ↗ rising
expensive & winning · year 1 in this regime · payroll 1.03× league · TAB +20.0
+20.0TAB — talent above budget1st/28
+12.8WAB — realized wins (TAB + luck)3rd/28
11.0depth — 2+ WAR regulars1st/28
-3.9dead WAR — sub-replacement drag6th/28
22%dead money %17th/28
0.597win %3rd/28
48.6roster fWAR1st/28
+13surplus $M (value vs cost)1st/28
$34Mpayroll $M14th/28

1995: made playoffs · 86–58. Ranks are vs the 28 teams that season.

Roster

CFLee Tinsley 97GWillie McGee 27GDwayne Hosey 19G
LFMike Greenwell 118GMatt Stairs 17GTroy O'Leary 16G
RFTroy O'Leary 91GWillie McGee 47GWes Chamberlain 12G
SSJohn Valentin 135GCarlos Rodriguez 6GJuan Bell 6G
2BLuis Alicea 132GTerry Shumpert 8GCarlos Rodriguez 7G
3BTim Naehring 124GChris Donnels 36GTerry Shumpert 5G
1BMo Vaughn 138GChris Donnels 8GReggie Jefferson 7G
STARTERSErik Hanson 4.1WARTim Wakefield 2.6WARRoger Clemens 2.4WARZane Smith 2.4WARRheal Cormier 1.7WAR
CMike Macfarlane 111GBill Haselman 48GRich Rowland 11G
DHJosé Canseco 101GReggie Jefferson 27GChris James 14G
BULLPEN★ Rick Aguilera 32svStan Belinda 0hEric Gunderson 0hMike Stanton 0hMike Maddux 0hJoe Hudson 0hKen Ryan 0hDerek Lilliquist 0h
CMike Macfarlane 111 · Bill Haselman 48 · Rich Rowland 11
1BMo Vaughn 138 · Chris Donnels 8 · Reggie Jefferson 7
2BLuis Alicea 132 · Terry Shumpert 8 · Carlos Rodriguez 7
3BTim Naehring 124 · Chris Donnels 36 · Terry Shumpert 5
SSJohn Valentin 135 · Carlos Rodriguez 6 · Juan Bell 6
LFMike Greenwell 118 · Matt Stairs 17 · Troy O'Leary 16
CFLee Tinsley 97 · Willie McGee 27 · Dwayne Hosey 19
RFTroy O'Leary 91 · Willie McGee 47 · Wes Chamberlain 12
DHJosé Canseco 101 · Reggie Jefferson 27 · Chris James 14
SPErik Hanson 4.1 · Tim Wakefield 2.6 · Roger Clemens 2.4 · Zane Smith 2.4 · Rheal Cormier 1.7
BP★ Rick Aguilera 32 · Stan Belinda 0 · Eric Gunderson 0 · Mike Stanton 0 · Mike Maddux 0 · Joe Hudson 0 · Ken Ryan 0 · Derek Lilliquist 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.

1995 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
John Valentin 28 arb 1358.2 0.6 +7.3
Mo Vaughn 27 arb 1405.1 2.8 +2.1
Tim Naehring 28 arb 1264.1 0.6 +3.3
Erik Hanson 30 FA-elig 294.1 1.5 +2.4
Tim Wakefield 28 arb 272.6 0.2 +2.4
Mike Greenwell 31 FA-elig 1202.6 3.6 -1.1
Jose Canseco 30 FA-elig 1022.5 5.8 -3.4
Zane Smith 34 FA-elig 242.4 1.5 +0.8
Roger Clemens 32 FA-elig 232.4 5.7 -3.4
Lee Tinsley 26 pre-arb 1002.4 0.1 +2.2
Troy O'Leary 25 pre-arb 1122.0 0.1 +1.8
Mike Maddux↔ PIT 33 FA-elig 362.0 0.2 +1.7
Luis Alicea 29 FA-elig 1321.9 0.8 +1.1
Rheal Cormier 28 arb 481.7 0.6 +1.1
Dwayne Hosey 28 pre-arb 241.6 0.1 +1.4
Vaughn Eshelman 26 pre-arb 231.5 0.1 +1.3
Stan Belinda 28 FA-elig 631.2 0.6 +0.6
Mike Macfarlane 31 FA-elig 1150.9 1.7 -0.9
Bill Haselman 29 arb 640.4 0.2 +0.2
Jeff Suppan 20 pre-arb 80.4 0.1 +0.3
Aaron Sele 25 pre-arb 60.4 0.3 +0.1
Rick Aguilera↔ MIN 33 FA-elig 300.4 2.5 -2.1
Joe Hudson 24 pre-arb 390.4 0.1 +0.3
Chris Donnels↔ HOU 29 arb 400.4 0.1 +0.2
Willie McGee 36 FA-elig 670.3 0.3 -0.0
Jeff Pierce 26 – 120.1 – –
Eric Gunderson↔ NYM 29 arb 190.1 0.0 +0.0
Carlos Rodriguez 27 arb 130.1 0.2 -0.1
Reggie Jefferson 26 arb 460.0 0.6 -0.5
Scott Hatteberg 25 – 20.0 – –
Dave Hollins↔ PHI 29 arb 50.0 0.1 -0.1
Brian Bark 26 – 30.0 – –
Ken Ryan 26 arb 28-0.0 0.3 -0.3
Keith Shepherd 27 – 2-0.0 – –
Mike Stanton↔ ATL 28 FA-elig 22-0.1 0.7 -0.7
Matt Murray↔ ATL 24 – 2-0.1 – –
Ron Mahay 24 – 5-0.1 – –
Frankie Rodriguez↔ MIN 22 pre-arb 9-0.1 0.0 -0.1
Mike Hartley↔ BAL 33 – 5-0.1 – –
Alejandro Pena↔ ATL 36 FA-elig 17-0.1 0.2 -0.3
Joel Johnston 28 – 4-0.1 – –
Brian Looney 25 – 3-0.1 – –
Matt Stairs 27 arb 39-0.1 0.1 -0.2
Chris James↔ KCR 32 FA-elig 16-0.1 0.1 -0.3
Tim Van Egmond 26 pre-arb 4-0.2 0.1 -0.3
Steve Rodriguez↔ DET 24 – 6-0.2 – –
Juan Bell 27 FA-elig 17-0.2 0.2 -0.4
Karl Rhodes↔ CHC 26 – 10-0.2 – –
Mark Whiten↔ PHI 28 arb 32-0.3 0.6 -0.8
Rich Rowland 31 arb 14-0.3 0.2 -0.5
Terry Shumpert 28 arb 21-0.4 0.2 -0.6
Wes Chamberlain 29 – 19-0.4 – –
Derek Lilliquist 29 FA-elig 28-0.7 0.5 -1.1

Key additions (new vs 1994)

PlayerfWAR
Erik Hanson4.1
Tim Wakefield2.6
Jose Canseco2.5
Zane Smith2.4
Troy O'Leary2.0
Mike Maddux2.0

Key subtractions (gone from 1994)

Player1994 fWAR
Joe Hesketh2.3
Scott Cooper2.0
Danny Darwin0.8
Scott Fletcher0.5
Otis Nixon0.4
Nate Minchey0.4

Current & Historical Payroll

1995 payroll
$34.3M

What the front office was committed to as of 1995, 1995–2001. 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 (17)

PlayerAgeSvc1995199619971998199920002001
Jose Canseco3010.000$5.8M$4.7MFREE AGENT
Roger Clemens3211.000$5.7M$5.5MFREE AGENT
Mike Greenwell3110.000$3.6M$3.7MFREE AGENT
Rick Aguilera3310.000$2.5MFREE AGENT
Mike Macfarlane318.000$1.7MFREE AGENT
Zane Smith3411.000$1.5MFREE AGENT
Erik Hanson307.000$1.5MFREE AGENT
Luis Alicea297.000$800kFREE AGENT
Mike Stanton286.000$688k$1.3MFREE AGENT
Stan Belinda286.000$575k$1.3MFREE AGENT
Derek Lilliquist296.000$450kFREE AGENT
Willie McGee3613.000$300kFREE AGENT
Juan Bell276.000$200kFREE AGENT
Alejandro Pena3614.000$174kFREE AGENT
Mike Maddux339.000$164k$600kFREE AGENT
Chris James329.000$118kFREE AGENT
Mike Hartley336.000—FREE AGENT

Arbitration-eligible (19)

PlayerAgeSvc1995199619971998199920002001
Mo Vaughn274.000$2.8MARB 3FREE AGENT
Tim Naehring285.000$642kFREE AGENT
John Valentin283.000$638kARB 2ARB 3FREE AGENT
Mark Whiten285.000$570kFREE AGENT
Reggie Jefferson264.000$562kARB 3FREE AGENT
Rheal Cormier284.000$550kARB 3FREE AGENT
Ken Ryan263.000$272kARB 2ARB 3FREE AGENT
Terry Shumpert285.000$250kFREE AGENT
Bill Haselman295.000$200kFREE AGENT
Tim Wakefield283.000$175kARB 2ARB 3FREE AGENT
Carlos Rodriguez274.000$167kARB 3FREE AGENT
Rich Rowland315.000$162kFREE AGENT
Dave Hollins295.000$143kFREE AGENT
Chris Donnels294.000$136kARB 3FREE AGENT
Matt Stairs273.000$115kARB 2ARB 3FREE AGENT
Eric Gunderson295.000$46kFREE AGENT
Wes Chamberlain295.000—FREE AGENT
Joel Johnston284.000—ARB 3FREE AGENT
Karl Rhodes265.000—FREE AGENT

Pre-arbitration (17)

PlayerAgeSvc1995199619971998199920002001
Aaron Sele252.000$292kARB 1ARB 2ARB 3FREE AGENT
Lee Tinsley262.000$140kARB 1ARB 2ARB 3FREE AGENT
Troy O'Leary252.000$125kARB 1ARB 2ARB 3FREE AGENT
Tim Van Egmond261.000$115kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Dwayne Hosey280.000$110kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Vaughn Eshelman260.000$109kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jeff Suppan200.000$109kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Joe Hudson240.000$109kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Frankie Rodriguez220.000$39kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Brian Bark26–—
Scott Hatteberg250.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Brian Looney25–—
Ron Mahay240.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Matt Murray24–—
Jeff Pierce26–—
Steve Rodriguez24–—
Keith Shepherd27–—

Graphs

Every roster slot ranked best→worst by WAR. Bars = Red Sox 1995; 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, 1.054, 10.87], [1986, 1.292, 3.24], [1987, 1.169, 1.08], [1988, 1.293, 13.08], [1989, 1.374, 5.57], [1990, 1.231, 2.11], [1991, 1.488, -1.16], [1992, 1.458, -15.31], [1993, 1.186, 0.61], [1994, 1.186, -9.6], [1995, 1.032, 20.02], [1996, 1.245, -4.96], [1997, 1.075, 6.38], [1998, 1.219, 10.04], [1999, 1.367, 9.76], [2000, 1.424, -1.54], [2001, 1.795, -7.73], [2002, 1.642, 7.11], [2003, 1.556, 14.58], [2004, 1.917, 3.35], [2005, 1.7, 0.86], [2006, 1.597, -10.36], [2007, 1.643, 7.96], [2008, 1.404, 12.69], [2009, 1.427, 3.85], [2010, 1.767, -0.69], [2011, 1.76, 10.08], [2012, 1.477, -12.69], [2013, 1.602, 11.59], [2014, 1.276, -9.14], [2015, 1.406, -8.56], [2016, 1.59, 10.1], [2017, 1.327, 1.92], [2018, 1.629, 11.2], [2019, 1.685, 3.78], [2021, 1.275, 4.95], [2022, 1.381, -9.52], [2023, 1.165, -8.21], [2024, 0.911, 3.57], [2025, 1.145, 7.85], [2026, 1.137, 5.14]], TEAMCOL = '#BD3039'; 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 = 1995; 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", "IF", "SP", "SP", "OF", "OF", "SP", "SP", "OF", "OF", "RP", "IF", "RP", "OF", "SP", "RP", "C", "C", "RP", "SP", "RP", "RP", "IF", "OF", "RP", "RP", "IF", "IF", "C", "IF", "RP", "RP", "RP", "RP", "RP", "RP", "SP", "RP", "RP"], "league": [5.24, 4.06, 3.35, 2.93, 2.47, 2.19, 1.93, 1.72, 1.52, 1.39, 1.22, 1.05, 0.91, 0.79, 0.7, 0.58, 0.51, 0.43, 0.36, 0.3, 0.26, 0.19, 0.16, 0.12, 0.09, 0.05, 0.03, 0.01, -0.02, -0.04, -0.07, -0.08, -0.11, -0.14, -0.17, -0.21, -0.27, -0.31, -0.36, -0.48], "names": ["John Valentin", "Mo Vaughn", "Tim Naehring", "Erik Hanson", "Tim Wakefield", "Mike Greenwell", "Jose Canseco", "Zane Smith", "Roger Clemens", "Lee Tinsley", "Troy O\u0027Leary", "Mike Maddux", "Luis Alicea", "Rheal Cormier", "Dwayne Hosey", "Vaughn Eshelman", "Stan Belinda", "Mike Macfarlane", "Bill Haselman", "Jeff Suppan", "Aaron Sele", "Rick Aguilera", "Joe Hudson", "Chris Donnels", "Willie McGee", "Jeff Pierce", "Eric Gunderson", "Carlos Rodriguez", "Reggie Jefferson", "Scott Hatteberg", "Dave Hollins", "Brian Bark", "Ken Ryan", "Keith Shepherd", "Mike Stanton", "Matt Murray", "Ron Mahay", "Frankie Rodriguez", "Mike Hartley", "Alejandro Pena"], "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": [8.24, 5.07, 4.14, 4.11, 2.64, 2.57, 2.49, 2.42, 2.4, 2.39, 2.05, 1.99, 1.94, 1.73, 1.57, 1.48, 1.21, 0.91, 0.43, 0.42, 0.42, 0.42, 0.41, 0.36, 0.28, 0.11, 0.1, 0.09, 0.03, 0.03, 0.02, 0.01, -0.01, -0.05, -0.06, -0.07, -0.07, -0.08, -0.08, -0.09]}; 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:'BOS',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);});