RRosternomics
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Orioles BAL

‹ ›

GM: Pat Gillick

Overview

CONTEND → steady
expensive & winning · year 1 in this regime · payroll 1.55× league · TAB +3.9
+3.9TAB — talent above budget9th/28
+10.6WAB — realized wins (TAB + luck)3rd/28
10.0depth — 2+ WAR regulars2nd/28
-3.0dead WAR — sub-replacement drag5th/28
12%dead money %3rd/28
0.605win %2nd/28
43.3roster fWAR5th/28
-16surplus $M (value vs cost)25th/28
$61Mpayroll $M2nd/28

1997: made playoffs · 98–64. Ranks are vs the 28 teams that season.

Roster

CFBrady Anderson 124GJeffrey Hammonds 40GTony Tarasco 8G
LFB.J. Surhoff 133GJeffrey Hammonds 31GJerome Walton 9G
RFGerónimo Berroa 83GTony Tarasco 68GJeffrey Hammonds 54G
SSMike Bordick 153GJeff Reboulet 22GAaron Ledesma 4G
2BRoberto Alomar 109GJeff Reboulet 63GAaron Ledesma 22G
3BCal Ripken Jr. 162GJeff Reboulet 12GAaron Ledesma 11G
1BRafael Palmeiro 155GJerome Walton 5GAaron Ledesma 5G
STARTERSMike Mussina 5.5WARScott Erickson 4.7WARJimmy Key 2.7WARScott Kamieniecki 2.2WARRick Krivda 0.5WAR
CLenny Webster 97GChris Hoiles 87GTim Laker 7G
DHHarold Baines 120GGerónimo Berroa 65GBrady Anderson 24G
BULLPEN★ Randy Myers 45svJesse Orosco 0hArmando Benítez 0hTerry Mathews 0hArthur Rhodes 0hAlan Mills 0hBrian Williams 0hNerio Rodriguez 0h
CLenny Webster 97 · Chris Hoiles 87 · Tim Laker 7
1BRafael Palmeiro 155 · Jerome Walton 5 · Aaron Ledesma 5
2BRoberto Alomar 109 · Jeff Reboulet 63 · Aaron Ledesma 22
3BCal Ripken Jr. 162 · Jeff Reboulet 12 · Aaron Ledesma 11
SSMike Bordick 153 · Jeff Reboulet 22 · Aaron Ledesma 4
LFB.J. Surhoff 133 · Jeffrey Hammonds 31 · Jerome Walton 9
CFBrady Anderson 124 · Jeffrey Hammonds 40 · Tony Tarasco 8
RFGerónimo Berroa 83 · Tony Tarasco 68 · Jeffrey Hammonds 54
DHHarold Baines 120 · Gerónimo Berroa 65 · Brady Anderson 24
SPMike Mussina 5.5 · Scott Erickson 4.7 · Jimmy Key 2.7 · Scott Kamieniecki 2.2 · Rick Krivda 0.5
BP★ Randy Myers 45 · Jesse Orosco 0 · Armando Benítez 0 · Terry Mathews 0 · Arthur Rhodes 0 · Alan Mills 0 · Brian Williams 0 · Nerio Rodriguez 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.

1997 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Mike Mussina 28 FA-elig 335.5 6.8 -1.2
Scott Erickson 29 FA-elig 344.7 3.3 +1.5
Roberto Alomar 29 FA-elig 1123.6 6.4 -2.7
Brady Anderson 33 FA-elig 1513.4 4.0 -0.6
Rafael Palmeiro 32 FA-elig 1583.3 5.3 -2.0
B.J. Surhoff 32 FA-elig 1473.0 1.6 +1.4
Jimmy Key 36 FA-elig 342.7 2.3 +0.4
Scott Kamieniecki 33 FA-elig 302.2 1.5 +0.7
Chris Hoiles 32 FA-elig 992.2 3.6 -1.4
Randy Myers 34 FA-elig 612.0 4.0 -1.9
Arthur Rhodes 27 FA-elig 541.9 1.6 +0.4
Jeffrey Hammonds 26 arb 1181.8 0.5 +1.3
Armando Benitez 24 arb 711.7 0.3 +1.4
Cal Ripken Jr. 36 FA-elig 1621.6 6.8 -5.2
Eric Davis 35 FA-elig 421.1 2.2 -1.1
Mike Bordick 31 FA-elig 1531.1 2.3 -1.2
Lenny Webster 32 FA-elig 980.9 0.4 +0.5
Aaron Ledesma 26 pre-arb 430.8 0.1 +0.6
Jeff Reboulet 33 arb 990.7 0.2 +0.5
Rick Krivda 27 pre-arb 100.5 0.1 +0.3
David Dellucci 23 – 170.4 – –
Tony Tarasco 26 arb 1000.4 0.3 +0.1
Harold Baines↔ CHW 38 FA-elig 440.2 0.6 -0.4
Nerio Rodriguez 26 – 60.2 – –
Jerome Walton 31 FA-elig 260.2 0.4 -0.2
Jesse Orosco 40 FA-elig 710.2 1.1 -0.9
Rocky Coppinger 23 pre-arb 50.1 0.2 -0.1
Brian Williams 28 – 130.1 – –
Shawn Boskie 30 FA-elig 290.0 0.7 -0.6
Charlie Greene 26 – 5-0.0 – –
Danny Clyburn 23 – 2-0.1 – –
Mel Rosario 24 – 4-0.2 – –
Pete Incaviglia↔ NYY 33 FA-elig 48-0.2 0.6 -0.8
Esteban Yan 22 – 3-0.3 – –
Terry Mathews 32 FA-elig 57-0.3 0.7 -1.0
Tim Laker 27 – 7-0.4 – –
Geronimo Berroa↔ OAK 32 FA-elig 83-0.4 1.8 -2.2
Alan Mills 30 FA-elig 39-0.4 0.8 -1.3
Mike Johnson↔ WSN 21 pre-arb 14-0.6 0.1 -0.7

Key additions (new vs 1996)

PlayerfWAR
Jimmy Key2.7
Scott Kamieniecki2.2
Eric Davis1.1
Mike Bordick1.1
Lenny Webster0.9
Aaron Ledesma0.8

Key subtractions (gone from 1996)

Player1996 fWAR
David Wells3.4
Bobby Bonilla1.0
Mark Smith0.5
Todd Zeile0.4
Mike Milchin0.2
Brent Bowers0.2

Current & Historical Payroll

1997 payroll
$60.8M

What the front office was committed to as of 1997, 1997–2003. 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)

PlayerAgeSvc1997199819992000200120022003
Cal Ripken Jr.3616.000$6.8M$6.4M$6.5M$6.3M$6.3MFREE AGENT
Mike Mussina286.000$6.8M$6.8M$6.6M$6.8MFREE AGENT
Roberto Alomar299.000$6.4M$6.3MFREE AGENT
Rafael Palmeiro3211.000$5.3M$6.5MFREE AGENT
Brady Anderson339.000$4.0M$5.4M$5.7M$7.1M$7.2MFREE AGENT
Randy Myers3412.000$4.0MFREE AGENT
Chris Hoiles328.000$3.6M$3.6MFREE AGENT
Scott Erickson297.000$3.3M$3.7M$6.1M$6.6MFREE AGENT$5.1M
Jimmy Key3613.000$2.3M$5.4MFREE AGENT
Mike Bordick317.000$2.3M$3.6M$3.1M$1.9M$4.5M$4.9MFREE AGENT
Eric Davis3513.000$2.2M$2.5MFREE AGENT
Geronimo Berroa328.000$1.8MFREE AGENT
B.J. Surhoff3210.000$1.6M$1.7M$3.7M$2.9MFREE AGENT$1.0M
Arthur Rhodes276.000$1.6M$2.9M$2.2MFREE AGENT
Scott Kamieniecki336.000$1.5M$2.9M$3.4MFREE AGENT
Jesse Orosco4018.000$1.1M$1.1M$800kFREE AGENT
Alan Mills307.000$850k$1.0MFREE AGENT$1.3M$3.0M
Terry Mathews326.000$685k$865kFREE AGENT
Shawn Boskie307.000$660kFREE AGENT
Harold Baines3817.000$618k$1.3M$1.4M$1.5MFREE AGENT
Pete Incaviglia3311.000$589kFREE AGENT
Lenny Webster328.000$425k$740k$553kFREE AGENT
Jerome Walton318.000$385kFREE AGENT
Brian Williams286.000—FREE AGENT

Arbitration-eligible (5)

PlayerAgeSvc1997199819992000200120022003
Jeffrey Hammonds264.000$490kARB 3FREE AGENT
Armando Benitez243.000$275kARB 2ARB 3FREE AGENT
Tony Tarasco264.000$270kARB 3FREE AGENT
Jeff Reboulet335.000$200kFREE AGENT
Tim Laker275.000—FREE AGENT

Pre-arbitration (10)

PlayerAgeSvc1997199819992000200120022003
Rocky Coppinger231.000$185kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Rick Krivda272.000$150kARB 1ARB 2ARB 3FREE AGENT
Aaron Ledesma262.000$150kARB 1ARB 2ARB 3FREE AGENT
Mike Johnson210.000$84kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Danny Clyburn230.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
David Dellucci230.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Charlie Greene26–—
Nerio Rodriguez261.000—Pre-ArbARB 1ARB 2ARB 3FREE AGENT
Mel Rosario24–—
Esteban Yan221.000—Pre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Orioles 1997; 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:'BAL',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);});