RRosternomics
𝕏

Yankees NYY

‹ ›

GM: Brian Cashman

Overview

CONTEND ↗ rising
expensive & winning · year 1 in this regime · payroll 2.52× league · TAB +2.1
+2.1TAB — talent above budget14th/30
+0.5WAB — realized wins (TAB + luck)15th/30
11.0depth — 2+ WAR regulars1st/30
-4.9dead WAR — sub-replacement drag21st/30
14%dead money %3rd/30
0.580win %3rd/30
47.4roster fWAR2nd/30
-104surplus $M (value vs cost)30th/30
$207Mpayroll $M1st/30

2007: made playoffs · 94–68. Ranks are vs the 30 teams that season.

Roster

CFMelky Cabrera 131GJohnny Damon 48G
LFHideki Matsui 112GJohnny Damon 32GMelky Cabrera 18G
RFBobby Abreu 157GShelley Duncan 8GMelky Cabrera 5G
SSDerek Jeter 155GMiguel Cairo 16GAlberto Gonzalez 11G
2BRobinson Canó 159GWilson Betemit 3GAndy Phillips 1G
3BAlex Rodriguez 154GWilson Betemit 67GAndy Phillips 9G
1BDoug Mientkiewicz 70GAndy Phillips 57GJason Giambi 18G
STARTERSAndy Pettitte 4.0WARChien-Ming Wang 3.7WARMike Mussina 2.7WARRoger Clemens 1.6WARPhil Hughes 1.0WAR
CJorge Posada 138GJosé Molina 69GWil Nieves 25G
DHJason Giambi 56GJohnny Damon 48GHideki Matsui 32G
BULLPEN★ Mariano Rivera 30svKyle Farnsworth 15hLuis Vizcaino 13hJoba Chamberlain 8hBrian Bruney 6hRon Villone 4hEdwar Ramirez 3hSean Henn 2h
CJorge Posada 138 · José Molina 69 · Wil Nieves 25
1BDoug Mientkiewicz 70 · Andy Phillips 57 · Jason Giambi 18
2BRobinson Canó 159 · Wilson Betemit 3 · Andy Phillips 1
3BAlex Rodriguez 154 · Wilson Betemit 67 · Andy Phillips 9
SSDerek Jeter 155 · Miguel Cairo 16 · Alberto Gonzalez 11
LFHideki Matsui 112 · Johnny Damon 32 · Melky Cabrera 18
CFMelky Cabrera 131 · Johnny Damon 48
RFBobby Abreu 157 · Shelley Duncan 8 · Melky Cabrera 5
DHJason Giambi 56 · Johnny Damon 48 · Hideki Matsui 32
SPAndy Pettitte 4.0 · Chien-Ming Wang 3.7 · Mike Mussina 2.7 · Roger Clemens 1.6 · Phil Hughes 1.0
BP★ Mariano Rivera 30 · Kyle Farnsworth 15 · Luis Vizcaino 13 · Joba Chamberlain 8 · Brian Bruney 6 · Ron Villone 4 · Edwar Ramirez 3 · Sean Henn 2

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.

2007 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Alex Rodriguez 31 FA-elig 1589.6 22.7 -2.1
Jorge Posada 36 FA-elig 1445.6 12.0 +0.2
Robinson Canó 24 pre-arb 1604.7 0.5 +9.7
Andy Pettitte 35 FA-elig 364.0 16.0 -7.4
Chien-Ming Wang 27 pre-arb 303.7 0.5 +7.5
Derek Jeter 33 FA-elig 1563.6 21.6 -13.8
Bobby Abreu 33 FA-elig 1583.4 15.0 -7.8
Hideki Matsui 33 arb 1432.9 13.0 -6.7
Mike Mussina 38 FA-elig 282.7 11.1 -5.3
Johnny Damon 33 FA-elig 1412.4 13.0 -7.9
Mariano Rivera 37 FA-elig 672.0 10.5 -6.1
Roger Clemens 44 FA-elig 181.6 17.4 -14.0
Phil Hughes 21 – 131.0 0.4 +1.9
Doug Mientkiewicz 33 FA-elig 720.9 1.5 +0.3
Joba Chamberlain 21 – 190.8 0.4 +1.4
Shelley Duncan 27 – 340.7 – –
Jason Giambi 36 FA-elig 830.7 23.4 -22.0
Melky Cabrera 22 pre-arb 1500.5 0.4 +0.7
José Molina↔ ANA 32 FA-elig 290.4 0.6 +0.3
Ian Kennedy 22 – 30.4 – –
Luis Vizcaino 32 FA-elig 770.3 3.0 -2.4
Carl Pavano 31 FA-elig 20.2 10.0 -9.5
Jose Veras 26 pre-arb 90.1 0.4 -0.2
Matt DeSalvo 26 – 70.1 – –
Ross Ohlendorf 24 – 60.1 – –
Mike Myers↔ CHW 38 FA-elig 550.0 1.0 -0.8
Andy Phillips 30 – 610.0 – –
Darrell Rasner 26 pre-arb 60.0 0.4 -0.3
Miguel Cairo↔ STL 33 FA-elig 54-0.0 0.5 -0.6
Jim Brower 34 – 3-0.0 – –
Chris Basak 28 – 5-0.0 – –
Tyler Clippard 22 – 6-0.0 0.4 -0.5
Bronson Sardinha 24 – 10-0.1 – –
Chris Britton 24 – 11-0.1 – –
Colter Bean 30 – 3-0.1 – –
Ron Villone 37 – 37-0.1 – –
Kevin Thompson↔ OAK 27 – 13-0.1 – –
Wilson Betemit↔ LAD 25 FA-elig 37-0.1 0.1 -0.4
Kyle Farnsworth 31 FA-elig 64-0.2 5.7 -6.1
Brian Bruney 25 arb 58-0.2 0.4 -0.9
Josh Phelps↔ PIT 29 FA-elig 36-0.3 0.2 -0.8
Kei Igawa 27 pre-arb 14-0.3 4.0 -4.6
Alberto Gonzalez 24 – 12-0.3 – –
Jeff Karstens 24 pre-arb 7-0.4 0.4 -1.2
Edwar Ramirez 26 – 21-0.4 – –
Chase Wright 24 – 3-0.4 – –
Sean Henn 26 pre-arb 29-0.5 0.4 -1.4
Scott Proctor↔ LAD 30 arb 52-0.5 0.3 -1.4
Wil Nieves 29 arb 26-0.6 0.4 -1.7

Key additions (new vs 2006)

PlayerfWAR
Andy Pettitte4.0
Roger Clemens1.6
Phil Hughes1.0
Doug Mientkiewicz0.9
Joba Chamberlain0.8
Shelley Duncan0.7

Key subtractions (gone from 2006)

Player2006 fWAR
Randy Johnson3.2
Jaret Wright2.4
Aaron Guiel0.3
Gary Sheffield0.3
Matt Smith0.1
Sidney Ponson0.1

Current & Historical Payroll

2007 payroll
$207.4M

What the front office was committed to as of 2007, 2007–2013. 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 (21)

PlayerAgeSvc2007200820092010201120122013
Jason Giambi3612.000$23.4M$23.4MFREE AGENT
Alex Rodriguez3113.000$22.7M$28.0M$33.0M$33.0M$32.0M$29.0M$28.0M
Derek Jeter3312.000$21.6M$21.6M$21.6M$22.6M$14.7M$16.0M$17.0M
Roger Clemens4423.000$17.4MFREE AGENT
Andy Pettitte3512.000$16.0M$16.0M$5.5M$11.8MFREE AGENT$2.5M$12.0M
Bobby Abreu3311.000$15.0M$16.0MFREE AGENT
Johnny Damon3312.000$13.0M$13.0M$13.0MFREE AGENT
Jorge Posada3612.000$12.0M$13.1M$13.1M$13.1M$13.1MFREE AGENT
Mike Mussina3816.000$11.1M$11.1MFREE AGENT
Mariano Rivera3712.000$10.5M$15.0M$15.0M$15.0M$14.9M$15.0M$10.0M
Carl Pavano319.000$10.0M$11.0MFREE AGENT
Kyle Farnsworth318.000$5.7M$4.4MFREE AGENT
Luis Vizcaino328.000$3.0MFREE AGENT
Doug Mientkiewicz339.000$1.5MFREE AGENT
Mike Myers3812.000$955kFREE AGENT
José Molina328.000$567k$1.9M$2.1MFREE AGENT
Miguel Cairo3311.000$494kFREE AGENT
Josh Phelps297.000$230kFREE AGENT
Wilson Betemit256.000$124k$1.2MFREE AGENT
Ron Villone3712.000—FREE AGENT
Jim Brower348.000—FREE AGENT

Arbitration-eligible (5)

PlayerAgeSvc2007200820092010201120122013
Hideki Matsui334.000$13.0MARB 3FREE AGENT
Brian Bruney253.000$396kARB 2ARB 3FREE AGENT
Wil Nieves295.000$382kFREE AGENT
Scott Proctor303.000$286kARB 2ARB 3FREE AGENT
Andy Phillips303.000—ARB 2ARB 3FREE AGENT

Pre-arbitration (23)

PlayerAgeSvc2007200820092010201120122013
Kei Igawa270.000$4.0MPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Robinson Canó242.000$491kARB 1ARB 2ARB 3FREE AGENT
Chien-Ming Wang272.000$490kARB 1ARB 2ARB 3FREE AGENT
Melky Cabrera222.000$432kARB 1ARB 2ARB 3FREE AGENT
Jeff Karstens241.000$389kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Darrell Rasner262.000$385kARB 1ARB 2ARB 3FREE AGENT
Jose Veras261.000$382kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sean Henn262.000$382kARB 1ARB 2ARB 3FREE AGENT
Phil Hughes210.000$380kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tyler Clippard220.000$380kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Joba Chamberlain210.000$380kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Colter Bean30–—
Chris Basak28–—
Bronson Sardinha24–—
Chase Wright24–—
Matt DeSalvo26–—
Ian Kennedy220.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Kevin Thompson27–—
Shelley Duncan270.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ross Ohlendorf240.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Chris Britton24–—
Edwar Ramirez260.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Alberto Gonzalez240.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Yankees 2007; 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:'NYY',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);});