RRosternomics
𝕏

Red Sox BOS

‹ ›

GM: Lou Gorman

Overview

CONTEND ↘ cooling
expensive & winning · year 6 in this regime · payroll 1.23× league · TAB +2.1
+2.1TAB — talent above budget9th/26
+3.5WAB — realized wins (TAB + luck)7th/26
8.0depth — 2+ WAR regulars10th/26
-3.8dead WAR — sub-replacement drag11th/26
44%dead money %21st/26
0.543win %6th/26
38.8roster fWAR7th/26
-3surplus $M (value vs cost)15th/26
$21Mpayroll $M4th/26

1990: made playoffs · 88–74. Ranks are vs the 26 teams that season.

Roster

CFEllis Burks 143GKevin Romine 18GRandy Kutcher 9G
LFMike Greenwell 159GKevin Romine 16GRandy Kutcher 2G
RFTom Brunansky 138GKevin Romine 30GRandy Kutcher 23G
SSLuis Rivera 112GJody Reed 50GTim Naehring 19G
2BJody Reed 119GMarty Barrett 60GRandy Kutcher 5G
3BWade Boggs 152GRandy Kutcher 11GTim Naehring 5G
1BCarlos Quintana 148GMike Marshall 50GBill Buckner 15G
STARTERSRoger Clemens 8.2WARMike Boddicker 4.1WARDana Kiecker 2.7WARGreg Harris 2.6WARTom Bolton 1.8WAR
CTony Peña Sr. 142GJohn Marzano 32G
DHDwight Evans 121GMike Marshall 14GEllis Burks 6G
BULLPEN★ Jeff Reardon 21svRob Murphy 0hLarry Andersen 0hDennis Lamp 0hJoe Hesketh 0hJeff Gray 0hJerry Reed 0hDaryl Irvine 0h
CTony Peña Sr. 142 · John Marzano 32
1BCarlos Quintana 148 · Mike Marshall 50 · Bill Buckner 15
2BJody Reed 119 · Marty Barrett 60 · Randy Kutcher 5
3BWade Boggs 152 · Randy Kutcher 11 · Tim Naehring 5
SSLuis Rivera 112 · Jody Reed 50 · Tim Naehring 19
LFMike Greenwell 159 · Kevin Romine 16 · Randy Kutcher 2
CFEllis Burks 143 · Kevin Romine 18 · Randy Kutcher 9
RFTom Brunansky 138 · Kevin Romine 30 · Randy Kutcher 23
DHDwight Evans 121 · Mike Marshall 14 · Ellis Burks 6
SPRoger Clemens 8.2 · Mike Boddicker 4.1 · Dana Kiecker 2.7 · Greg Harris 2.6 · Tom Bolton 1.8
BP★ Jeff Reardon 21 · Rob Murphy 0 · Larry Andersen 0 · Dennis Lamp 0 · Joe Hesketh 0 · Jeff Gray 0 · Jerry Reed 0 · Daryl Irvine 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.

1990 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Roger Clemens 27 FA-elig 318.2 2.6 +1.0
Mike Boddicker 32 FA-elig 344.1 0.7 +1.1
Ellis Burks 25 arb 1523.3 0.5 +1.0
Wade Boggs 32 FA-elig 1553.2 1.9 -0.5
Jody Reed 27 arb 1552.8 0.3 +0.9
Dana Kiecker 29 pre-arb 322.7 0.1 +1.1
Greg Harris 34 FA-elig 342.6 0.6 +0.6
Mike Greenwell 26 arb 1592.4 1.2 -0.1
Tom Brunansky↔ STL 29 FA-elig 1291.8 1.3 -0.5
Tom Bolton 28 arb 211.8 0.1 +0.7
Carlos Quintana 24 pre-arb 1491.8 0.1 +0.7
Tony Peña Sr. 33 FA-elig 1431.5 1.7 -1.0
Jeff Gray 27 pre-arb 411.2 0.1 +0.4
Larry Andersen↔ HOU 37 FA-elig 151.0 0.2 +0.2
Wes Gardner 29 FA-elig 340.8 0.4 +0.0
Kevin Romine 29 arb 700.4 0.2 -0.1
Dwight Evans 38 FA-elig 1230.4 1.5 -1.3
Joe Hesketh↔ ATL 31 FA-elig 120.4 0.1 +0.1
Lee Smith↔ STL 32 FA-elig 110.4 0.2 -0.0
Jerry Reed↔ SEA 34 FA-elig 290.4 0.3 -0.2
Mike Marshall↔ NYM 30 FA-elig 300.3 0.4 -0.3
Dennis Lamp 37 FA-elig 470.3 0.7 -0.6
Jeff Reardon 34 FA-elig 470.2 1.6 -1.5
Eric Hetzel 26 pre-arb 90.2 0.1 -0.0
Tim Naehring 23 pre-arb 240.1 0.1 -0.0
Rich Gedman↔ HOU 30 FA-elig 100.1 0.2 -0.1
Daryl Irvine 25 pre-arb 110.1 0.1 -0.1
John Dopson 26 arb 40.1 0.3 -0.2
John Leister 29 – 20.0 – –
Scott Cooper 22 pre-arb 2-0.0 0.1 -0.1
Jeff Stone 29 – 10-0.0 – –
Phil Plantier 21 pre-arb 14-0.1 0.1 -0.1
John Marzano 27 arb 32-0.1 0.1 -0.2
Mike Rochford 27 pre-arb 2-0.2 0.1 -0.2
Marty Barrett 32 FA-elig 62-0.2 1.0 -1.1
Rick Lancellotti 33 – 4-0.2 – –
Billy Jo Robidoux 26 – 27-0.2 – –
Randy Kutcher 30 arb 63-0.3 0.2 -0.3
Danny Heep 32 FA-elig 41-0.5 0.6 -0.8
Bill Buckner 40 – 22-0.6 – –
Rob Murphy 30 arb 68-0.6 0.8 -1.0
Luis Rivera 26 arb 118-0.7 0.2 -0.6

Key additions (new vs 1989)

PlayerfWAR
Dana Kiecker2.7
Tom Brunansky1.8
Tony Peña Sr.1.5
Jeff Gray1.2
Larry Andersen1.0
Joe Hesketh0.4

Key subtractions (gone from 1989)

Player1989 fWAR
Nick Esasky4.2
Rick Cerone0.8
Bob Stanley0.5
Joe Price0.2
Oil Can Boyd0.2
Dana Williams0.0

Current & Historical Payroll

1990 payroll
$20.9M

What the front office was committed to as of 1990, 1990–1996. 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 (20)

PlayerAgeSvc1990199119921993199419951996
Roger Clemens276.000$2.6M$2.7M$4.7M$4.7M$5.2M$5.7M$5.5M
Wade Boggs328.000$1.9M$2.8M$2.7MFREE AGENT
Tony Peña Sr.3310.000$1.7M$2.3M$2.4M$2.2MFREE AGENT
Jeff Reardon3411.000$1.6M$2.5M$2.0MFREE AGENT
Dwight Evans3818.000$1.5MFREE AGENT
Tom Brunansky299.000$1.3M$2.5M$2.9MFREE AGENT$825k
Marty Barrett328.000$1.0MFREE AGENT
Dennis Lamp3713.000$725k$750kFREE AGENT
Mike Boddicker3210.000$675kFREE AGENT
Danny Heep3211.000$595kFREE AGENT
Greg Harris349.000$590k$1.3M$1.4M$1.5M$1.6MFREE AGENT
Mike Marshall309.000$398k$1.2MFREE AGENT
Wes Gardner296.000$360kFREE AGENT
Jerry Reed349.000$334kFREE AGENT
Larry Andersen3715.000$223kFREE AGENT
Lee Smith3210.000$206kFREE AGENT
Rich Gedman3010.000$184kFREE AGENT
Joe Hesketh316.000$100k$525k$1.8M$1.8M$1.8MFREE AGENT
Bill Buckner4021.000—FREE AGENT
Jeff Stone297.000—FREE AGENT

Arbitration-eligible (10)

PlayerAgeSvc1990199119921993199419951996
Mike Greenwell265.000$1.2MFREE AGENT
Rob Murphy305.000$750kFREE AGENT
Ellis Burks253.000$475kARB 2ARB 3FREE AGENT
Jody Reed273.000$300kARB 2ARB 3FREE AGENT
John Dopson265.000$265kFREE AGENT
Kevin Romine295.000$250kFREE AGENT
Luis Rivera264.000$250kARB 3FREE AGENT
Randy Kutcher304.000$175kARB 3FREE AGENT
Tom Bolton283.000$135kARB 2ARB 3FREE AGENT
John Marzano273.000$125kARB 2ARB 3FREE AGENT

Pre-arbitration (12)

PlayerAgeSvc1990199119921993199419951996
Carlos Quintana242.000$130kARB 1ARB 2ARB 3FREE AGENT
Eric Hetzel261.000$115kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Mike Rochford272.000$115kARB 1ARB 2ARB 3FREE AGENT
Dana Kiecker290.000$100kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jeff Gray272.000$100kARB 1ARB 2ARB 3FREE AGENT
Scott Cooper220.000$100kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Daryl Irvine250.000$100kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Phil Plantier210.000$100kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tim Naehring230.000$100kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Rick Lancellotti33–—
John Leister29–—
Billy Jo Robidoux26–—

Graphs

Every roster slot ranked best→worst by WAR. Bars = Red Sox 1990; 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.

'; 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}
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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:'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);});