RRosternomics
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White Sox CHW

‹ ›

GM: Kenny Williams

Overview

CONTEND ↘ cooling
expensive & winning · year 2 in this regime · payroll 1.04× league · TAB +6.3
+6.3TAB — talent above budget7th/30
+16.6WAB — realized wins (TAB + luck)2nd/30
9.0depth — 2+ WAR regulars3rd/30
-4.3dead WAR — sub-replacement drag15th/30
26%dead money %7th/30
0.611win %2nd/30
41.0roster fWAR7th/30
+1surplus $M (value vs cost)11th/30
$75Mpayroll $M13th/30

2005: World Series champions · 99–63. Ranks are vs the 30 teams that season.

Roster

CFAaron Rowand 157GScott Podsednik 7GBrian Anderson 5G
LFScott Podsednik 124GTimo Perez 27GCarl Everett 14G
RFJermaine Dye 140GTimo Perez 21GCarl Everett 8G
SSJuan Uribe 146GGeoff Blum 20GPablo Ozuna 15G
2BTadahito Iguchi 133GWillie Harris 32GGeoff Blum 21G
3BJoe Crede 130GGeoff Blum 46GPablo Ozuna 32G
1BPaul Konerko 146GRoss Gload 24GGeoff Blum 14G
STARTERSMark Buehrle 5.8WARFreddy Garcia 3.9WARJon Garland 3.5WARJose Contreras 3.3WAROrlando Hernandez 1.3WAR
CA.J. Pierzynski 128GChris Widger 42GRaul Casanova 6G
DHCarl Everett 107GFrank Thomas 28GTimo Perez 11G
BULLPEN★ Dustin Hermanson 34svCliff Politte 23hDamaso Marte 22hNeal Cotts 13hLuis Vizcaino 9hBobby Jenks 3hKevin Walker 0hJon Adkins 0h
CA.J. Pierzynski 128 · Chris Widger 42 · Raul Casanova 6
1BPaul Konerko 146 · Ross Gload 24 · Geoff Blum 14
2BTadahito Iguchi 133 · Willie Harris 32 · Geoff Blum 21
3BJoe Crede 130 · Geoff Blum 46 · Pablo Ozuna 32
SSJuan Uribe 146 · Geoff Blum 20 · Pablo Ozuna 15
LFScott Podsednik 124 · Timo Perez 27 · Carl Everett 14
CFAaron Rowand 157 · Scott Podsednik 7 · Brian Anderson 5
RFJermaine Dye 140 · Timo Perez 21 · Carl Everett 8
DHCarl Everett 107 · Frank Thomas 28 · Timo Perez 11
SPMark Buehrle 5.8 · Freddy Garcia 3.9 · Jon Garland 3.5 · Jose Contreras 3.3 · Orlando Hernandez 1.3
BP★ Dustin Hermanson 34 · Cliff Politte 23 · Damaso Marte 22 · Neal Cotts 13 · Luis Vizcaino 9 · Bobby Jenks 3 · Kevin Walker 0 · Jon Adkins 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.

2005 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Mark Buehrle 26 arb 335.8 6.0 +5.0
Freddy Garcia 28 FA-elig 333.9 8.0 -0.7
Paul Konerko 29 FA-elig 1583.8 8.8 -1.6
Aaron Rowand 27 arb 1573.8 2.0 +5.1
Jon Garland 25 arb 323.5 3.4 +3.3
Jose Contreras 33 pre-arb 323.3 8.5 -2.2
Tadahito Iguchi 30 pre-arb 1353.3 2.3 +3.8
Juan Uribe 26 arb 1462.2 2.1 +2.0
Jermaine Dye 31 FA-elig 1452.2 4.0 +0.1
Scott Podsednik 29 arb 1291.9 0.7 +3.0
Joe Crede 27 arb 1321.8 0.4 +3.0
A.J. Pierzynski 28 FA-elig 1281.6 2.2 +0.8
Neal Cotts 25 pre-arb 691.4 0.3 +2.2
Orlando Hernandez 39 FA-elig 241.3 3.5 -1.0
Dustin Hermanson 32 FA-elig 571.3 2.0 +0.4
Cliff Politte 31 FA-elig 681.2 1.0 +1.3
Bobby Jenks 24 – 321.0 – –
Brandon McCarthy 21 – 120.5 0.3 +0.6
Willie Harris 27 arb 560.5 0.4 +0.5
Frank Thomas 37 FA-elig 340.4 8.0 -7.2
Luis Vizcaino 30 FA-elig 650.3 1.3 -0.8
Damaso Marte 30 FA-elig 660.2 1.2 -0.8
Joe Borchard 26 – 70.1 – –
Jon Adkins 27 – 50.1 – –
Pedro Lopez 21 – 20.0 – –
Jamie Burke 33 – 1-0.0 – –
Raul Casanova 32 – 6-0.0 – –
Brian Anderson 23 – 13-0.0 – –
Kevin Walker 28 – 9-0.0 – –
Jeff Bajenaru 27 – 4-0.1 – –
David Sanders 25 – 2-0.1 – –
Carl Everett 34 FA-elig 135-0.2 4.0 -4.3
Pablo Ozuna 30 arb 70-0.2 0.3 -0.8
Chris Widger 34 FA-elig 45-0.3 0.5 -1.1
Geoff Blum↔ SDP 32 FA-elig 31-0.5 0.2 -1.0
Ross Gload 29 arb 28-0.5 0.3 -1.3
Shingo Takatsu↔ NYM 36 pre-arb 31-0.7 1.9 -3.2
Timo Perez 30 arb 76-1.7 1.0 -4.1

Key additions (new vs 2004)

PlayerfWAR
Tadahito Iguchi3.3
Jermaine Dye2.2
Scott Podsednik1.9
A.J. Pierzynski1.6
Orlando Hernandez1.3
Dustin Hermanson1.3

Key subtractions (gone from 2004)

Player2004 fWAR
Carlos Lee5.5
Jose Valentin2.2
Esteban Loaiza1.4
Scott Schoeneweis0.9
Miguel Olivo0.8
Magglio Ordonez0.6

Current & Historical Payroll

2005 payroll
$74.8M

What the front office was committed to as of 2005, 2005–2011. 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 (14)

PlayerAgeSvc2005200620072008200920102011
Paul Konerko298.000$8.8M$12.0M$12.0M$12.0M$12.0M$12.0M$12.0M
Freddy Garcia286.000$8.0M$9.0MFREE AGENT$1.5M$1.0M
Frank Thomas3715.000$8.0MFREE AGENT
Jermaine Dye319.000$4.0M$5.0M$7.5M$9.5M$11.5MFREE AGENT
Carl Everett3412.000$4.0MFREE AGENT
Orlando Hernandez397.000$3.5MFREE AGENT
A.J. Pierzynski287.000$2.2M$4.0M$5.5M$5.8M$6.2M$6.8M$2.0M
Dustin Hermanson3210.000$2.0M$3.1MFREE AGENT
Luis Vizcaino306.000$1.3MFREE AGENT
Damaso Marte306.000$1.2MFREE AGENT
Cliff Politte317.000$1.0M$1.2MFREE AGENT
Chris Widger3410.000$500k$488kFREE AGENT
Geoff Blum326.000$164kFREE AGENT
Raul Casanova329.000—FREE AGENT

Arbitration-eligible (13)

PlayerAgeSvc2005200620072008200920102011
Mark Buehrle265.000$6.0MFREE AGENT
Jon Garland255.000$3.4MFREE AGENT
Juan Uribe264.000$2.1MARB 3FREE AGENT
Aaron Rowand274.000$2.0MARB 3FREE AGENT
Timo Perez305.000$1.0MFREE AGENT
Scott Podsednik294.000$700kARB 3FREE AGENT
Joe Crede275.000$400kFREE AGENT
Willie Harris274.000$365kARB 3FREE AGENT
Ross Gload295.000$335kFREE AGENT
Pablo Ozuna305.000$330kFREE AGENT
Kevin Walker285.000—FREE AGENT
Joe Borchard263.000—ARB 2ARB 3FREE AGENT
Jamie Burke334.000—ARB 3FREE AGENT

Pre-arbitration (11)

PlayerAgeSvc2005200620072008200920102011
Jose Contreras332.000$8.5MARB 1ARB 2ARB 3FREE AGENT
Tadahito Iguchi300.000$2.3MPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Shingo Takatsu361.000$1.9MPre-ArbARB 1ARB 2ARB 3FREE AGENT
Neal Cotts252.000$330kARB 1ARB 2ARB 3FREE AGENT
Brandon McCarthy210.000$316kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Bobby Jenks240.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jon Adkins272.000—ARB 1ARB 2ARB 3FREE AGENT
David Sanders25–—
Jeff Bajenaru27–—
Pedro Lopez21–—
Brian Anderson230.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = White Sox 2005; 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.
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Not enough history to chart.

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Pick a wider year range.

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payroll %{x:.2f}× lg · TAB %{y:+.1f}
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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:'CHW',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);});