RRosternomics
𝕏

Red Sox BOS

‹ ›

GM: Dan Duquette

Overview

CONTEND ↗ rising
expensive & winning · year 3 in this regime · payroll 1.37× league · TAB +9.8
+9.8TAB — talent above budget7th/30
+8.2WAB — realized wins (TAB + luck)9th/30
10.0depth — 2+ WAR regulars2nd/30
-2.8dead WAR — sub-replacement drag6th/30
27%dead money %13th/30
0.580win %9th/30
47.7roster fWAR5th/30
-7surplus $M (value vs cost)15th/30
$66Mpayroll $M9th/30

1999: made playoffs · 94–68. Ranks are vs the 30 teams that season.

Roster

CFDarren Lewis 88GDamon Buford 82GDonnie Sadler 6G
LFTroy O'Leary 157GButch Huskey 32GDamon Buford 5G
RFTrot Nixon 121GDarren Lewis 51GButch Huskey 26G
SSNomar Garciaparra 134GLou Merloni 24GDonnie Sadler 14G
2BJose Offerman 128GJeff Frye 26GDonnie Sadler 10G
3BJohn Valentin 111GWilton Veras 35GDonnie Sadler 9G
1BMike Stanley 111GBrian Daubach 61GJose Offerman 8G
STARTERSPedro Martínez 11.6WARBret Saberhagen 3.3WARPat Rapp 1.6WARKent Mercker 0.7WARTim Wakefield 0.7WAR
CJason Varitek 140GScott Hatteberg 23GLenny Webster 18G
DHReggie Jefferson 51GBrian Daubach 39GButch Huskey 30G
BULLPEN★ Derek Lowe 15svRheal Cormier 13hRod Beck 3hJohn Wasdin 2hRich Garces 2hTom Gordon 1hKip Gross 0hTomo Ohka 0h
CJason Varitek 140 · Scott Hatteberg 23 · Lenny Webster 18
1BMike Stanley 111 · Brian Daubach 61 · Jose Offerman 8
2BJose Offerman 128 · Jeff Frye 26 · Donnie Sadler 10
3BJohn Valentin 111 · Wilton Veras 35 · Donnie Sadler 9
SSNomar Garciaparra 134 · Lou Merloni 24 · Donnie Sadler 14
LFTroy O'Leary 157 · Butch Huskey 32 · Damon Buford 5
CFDarren Lewis 88 · Damon Buford 82 · Donnie Sadler 6
RFTrot Nixon 121 · Darren Lewis 51 · Butch Huskey 26
DHReggie Jefferson 51 · Brian Daubach 39 · Butch Huskey 30
SPPedro Martínez 11.6 · Bret Saberhagen 3.3 · Pat Rapp 1.6 · Kent Mercker 0.7 · Tim Wakefield 0.7
BP★ Derek Lowe 15 · Rheal Cormier 13 · Rod Beck 3 · John Wasdin 2 · Rich Garces 2 · Tom Gordon 1 · Kip Gross 0 · Tomo Ohka 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.

1999 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Pedro Martínez 27 FA-elig 3111.6 11.1 +3.5
Nomar Garciaparra 25 arb 1356.3 1.4 +6.5
Troy O'Leary 29 FA-elig 1573.3 3.5 +0.7
Bret Saberhagen 35 FA-elig 223.3 3.5 +0.6
Trot Nixon 25 arb 1243.0 0.2 +3.6
Jose Offerman 30 FA-elig 1492.8 5.0 -1.5
Mike Stanley 36 FA-elig 1362.2 3.5 -0.7
Derek Lowe 26 pre-arb 742.2 0.2 +2.6
Jason Varitek 27 pre-arb 1442.2 0.2 +2.6
Brian Daubach 27 pre-arb 1102.0 0.2 +2.3
Pat Rapp 31 FA-elig 371.6 1.6 +0.4
John Valentin 32 FA-elig 1131.3 6.3 -4.7
Darren Lewis 31 FA-elig 1351.3 2.1 -0.5
Rheal Cormier 32 FA-elig 600.9 0.9 +0.2
Rich Garces 28 FA-elig 300.7 0.3 +0.6
Juan Pena 22 pre-arb 20.7 0.2 +0.6
Kent Mercker↔ STL 31 FA-elig 50.7 0.4 +0.4
Tim Wakefield 32 FA-elig 490.7 4.0 -3.2
Damon Buford 29 FA-elig 910.6 1.1 -0.4
Mark Portugal 36 FA-elig 310.6 2.7 -2.0
Rod Beck↔ CHC 30 FA-elig 120.4 1.5 -1.0
Scott Hatteberg 29 arb 300.4 0.3 +0.2
Bryce Florie↔ DET 29 arb 140.4 0.4 +0.0
Ramon Martinez 31 FA-elig 40.3 1.5 -1.1
Brian Rose 23 – 220.2 – –
Creighton Gubanich 27 – 180.2 – –
Tom Gordon 31 FA-elig 210.2 3.8 -3.5
Tim Harikkala 27 – 70.2 – –
Jin Ho Cho 23 – 90.1 – –
John Wasdin 26 arb 450.1 0.5 -0.4
Steve Lomasney 21 – 10.1 – –
Reggie Jefferson 30 FA-elig 83-0.0 3.4 -3.4
Lou Merloni 28 pre-arb 43-0.0 0.2 -0.2
Kirk Bullinger 29 – 4-0.0 – –
Tomo Ohka 23 pre-arb 8-0.0 0.2 -0.3
Donnie Sadler 24 pre-arb 49-0.1 0.2 -0.3
Chad Fonville 28 – 3-0.1 – –
Butch Huskey↔ SEA 27 FA-elig 45-0.1 0.6 -0.6
Bob Wolcott 25 – 4-0.1 – –
Michael Coleman 23 pre-arb 2-0.1 0.2 -0.3
Wilton Veras 21 pre-arb 36-0.1 0.2 -0.4
Jon Nunnally 27 – 10-0.2 – –
Marino Santana 27 – 3-0.2 – –
Lenny Webster↔ BAL 34 FA-elig 6-0.2 0.2 -0.5
Kip Gross 34 FA-elig 11-0.3 0.5 -0.8
Mark Guthrie↔ CHC 33 FA-elig 46-0.3 1.3 -1.7
Jeff Frye 32 FA-elig 41-0.5 2.4 -3.0
Jim Corsi↔ BAL 37 FA-elig 23-0.6 0.5 -1.2

Key additions (new vs 1998)

PlayerfWAR
Jose Offerman2.8
Brian Daubach2.0
Pat Rapp1.6
Rheal Cormier0.9
Juan Pena0.7
Kent Mercker0.7

Key subtractions (gone from 1998)

Player1998 fWAR
Mo Vaughn6.3
Darren Bragg2.6
Mike Benjamin2.1
Jim Leyritz0.7
Pete Schourek0.5
Midre Cummings0.4

Current & Historical Payroll

1999 payroll
$66.5M

What the front office was committed to as of 1999, 1999–2005. 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 (24)

PlayerAgeSvc1999200020012002200320042005
Pedro Martínez277.000$11.1M$11.5M$13.0M$14.0M$15.5M$17.5MFREE AGENT
John Valentin327.000$6.3M$6.3M$6.3MFREE AGENT
Jose Offerman309.000$5.0M$5.8M$6.8M$4.8MFREE AGENT
Tim Wakefield327.000$4.0M$4.5M$3.0M$3.2M$4.0M$4.3M$4.7M
Tom Gordon3111.000$3.8MFREE AGENT
Troy O'Leary296.000$3.5M$4.0M$4.6MFREE AGENT
Bret Saberhagen3515.000$3.5MFREE AGENT$5.0M
Mike Stanley3613.000$3.5M$2.3MFREE AGENT
Reggie Jefferson308.000$3.4MFREE AGENT
Mark Portugal3614.000$2.7MFREE AGENT
Jeff Frye327.000$2.4M$1.6MFREE AGENT
Darren Lewis319.000$2.1M$2.4M$2.5MFREE AGENT
Pat Rapp317.000$1.6MFREE AGENT
Rod Beck308.000$1.5M$3.5M$4.5MFREE AGENT
Ramon Martinez3111.000$1.5M$6.3MFREE AGENT
Mark Guthrie3310.000$1.3MFREE AGENT
Damon Buford296.000$1.1MFREE AGENT
Rheal Cormier328.000$900k$2.0MFREE AGENT
Butch Huskey276.000$567kFREE AGENT
Kip Gross349.000$500kFREE AGENT
Jim Corsi3711.000$479kFREE AGENT
Kent Mercker3110.000$403kFREE AGENT
Rich Garces289.000$300k$610k$1.4M$2.2MFREE AGENT
Lenny Webster3410.000$207kFREE AGENT

Arbitration-eligible (8)

PlayerAgeSvc1999200020012002200320042005
Nomar Garciaparra253.000$1.4MARB 2ARB 3FREE AGENT
John Wasdin264.000$500kARB 3FREE AGENT
Bryce Florie295.000$444kFREE AGENT
Scott Hatteberg294.000$350kARB 3FREE AGENT
Trot Nixon253.000$200kARB 2ARB 3FREE AGENT
Chad Fonville284.000—ARB 3FREE AGENT
Jon Nunnally274.000—ARB 3FREE AGENT
Bob Wolcott254.000—ARB 3FREE AGENT

Pre-arbitration (16)

PlayerAgeSvc1999200020012002200320042005
Derek Lowe262.000$245kARB 1ARB 2ARB 3FREE AGENT
Jason Varitek272.000$238kARB 1ARB 2ARB 3FREE AGENT
Brian Daubach271.000$215kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Michael Coleman232.000$200kARB 1ARB 2ARB 3FREE AGENT
Donnie Sadler241.000$200kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Lou Merloni281.000$200kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Juan Pena220.000$200kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Wilton Veras210.000$200kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tomo Ohka230.000$200kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tim Harikkala27–—
Brian Rose232.000—ARB 1ARB 2ARB 3FREE AGENT
Jin Ho Cho23–—
Kirk Bullinger291.000—Pre-ArbARB 1ARB 2ARB 3FREE AGENT
Marino Santana27–—
Creighton Gubanich27–—
Steve Lomasney21–—

Graphs

Every roster slot ranked best→worst by WAR. Bars = Red Sox 1999; 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 = 1999; 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", "IF", "OF", "SP", "OF", "IF", "IF", "RP", "C", "IF", "SP", "IF", "OF", "RP", "RP", "SP", "SP", "RP", "OF", "SP", "RP", "C", "RP", "SP", "SP", "C", "RP", "RP", "SP", "RP", "C", "IF", "IF", "RP", "RP", "IF", "IF", "OF", "RP", "OF"], "league": [5.79, 4.64, 3.89, 3.49, 2.91, 2.58, 2.16, 1.93, 1.7, 1.4, 1.25, 1.06, 0.93, 0.8, 0.71, 0.61, 0.53, 0.45, 0.38, 0.34, 0.27, 0.21, 0.17, 0.14, 0.09, 0.05, 0.02, -0.0, -0.03, -0.07, -0.09, -0.12, -0.15, -0.21, -0.25, -0.25, -0.36, -0.32, -0.36, -0.51], "names": ["Pedro Mart\u00ednez", "Nomar Garciaparra", "Troy O\u0027Leary", "Bret Saberhagen", "Trot Nixon", "Jose Offerman", "Mike Stanley", "Derek Lowe", "Jason Varitek", "Brian Daubach", "Pat Rapp", "John Valentin", "Darren Lewis", "Rheal Cormier", "Rich Garces", "Juan Pena", "Kent Mercker", "Tim Wakefield", "Damon Buford", "Mark Portugal", "Rod Beck", "Scott Hatteberg", "Bryce Florie", "Ramon Martinez", "Brian Rose", "Creighton Gubanich", "Tom Gordon", "Tim Harikkala", "Jin Ho Cho", "John Wasdin", "Steve Lomasney", "Reggie Jefferson", "Lou Merloni", "Kirk Bullinger", "Tomo Ohka", "Donnie Sadler", "Chad Fonville", "Butch Huskey", "Bob Wolcott", "Michael Coleman"], "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": [11.58, 6.29, 3.34, 3.26, 2.98, 2.76, 2.25, 2.25, 2.22, 2.04, 1.6, 1.32, 1.3, 0.89, 0.74, 0.67, 0.66, 0.66, 0.59, 0.58, 0.43, 0.42, 0.39, 0.31, 0.2, 0.19, 0.19, 0.17, 0.13, 0.08, 0.05, -0.02, -0.03, -0.03, -0.05, -0.06, -0.06, -0.07, -0.07, -0.12]}; 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);});