RRosternomics
𝕏

Phillies PHI

‹ ›

GM: Pat Gillick

Overview

CONTEND → steady
expensive & winning · year 5 in this regime · payroll 1.16× league · TAB +8.8
+8.8TAB — talent above budget4th/30
+5.2WAB — realized wins (TAB + luck)7th/30
7.0depth — 2+ WAR regulars10th/30
-3.3dead WAR — sub-replacement drag5th/30
38%dead money %22nd/30
0.549win %7th/30
44.9roster fWAR3rd/30
+2surplus $M (value vs cost)10th/30
$95Mpayroll $M9th/30

2007: made playoffs · 89–73. Ranks are vs the 30 teams that season.

Roster

CFAaron Rowand 161GMichael Bourn 12GShane Victorino 4G
LFPat Burrell 138GMichael Bourn 79GJayson Werth 37G
RFShane Victorino 114GJayson Werth 58GChris Roberson 16G
SSJimmy Rollins 162GAbraham O. Nunez 8G
2BChase Utley 132GTadahito Iguchi 121GAbraham O. Nunez 4G
3BAbraham O. Nunez 113GGreg Dobbs 68GWes Helms 68G
1BRyan Howard 140GWes Helms 18GGreg Dobbs 14G
STARTERSCole Hamels 3.8WARJamie Moyer 1.7WARJon Lieber 1.4WARKyle Kendrick 1.2WARKyle Lohse 1.0WAR
CCarlos Ruiz 111GRod Barajas 38GChris Coste 31G
DHPat Burrell 5GGreg Dobbs 1GRyan Howard 1G
BULLPEN★ Brett Myers 21svJ.C. Romero 24hAntonio Alfonseca 15hTom Gordon 14hGeoff Geary 10hJose Mesa 7hRyan Madson 7hClay Condrey 2h
CCarlos Ruiz 111 · Rod Barajas 38 · Chris Coste 31
1BRyan Howard 140 · Wes Helms 18 · Greg Dobbs 14
2BChase Utley 132 · Tadahito Iguchi 121 · Abraham O. Nunez 4
3BAbraham O. Nunez 113 · Greg Dobbs 68 · Wes Helms 68
SSJimmy Rollins 162 · Abraham O. Nunez 8
LFPat Burrell 138 · Michael Bourn 79 · Jayson Werth 37
CFAaron Rowand 161 · Michael Bourn 12 · Shane Victorino 4
RFShane Victorino 114 · Jayson Werth 58 · Chris Roberson 16
DHPat Burrell 5 · Greg Dobbs 1 · Ryan Howard 1
SPCole Hamels 3.8 · Jamie Moyer 1.7 · Jon Lieber 1.4 · Kyle Kendrick 1.2 · Kyle Lohse 1.0
BP★ Brett Myers 21 · J.C. Romero 24 · Antonio Alfonseca 15 · Tom Gordon 14 · Geoff Geary 10 · Jose Mesa 7 · Ryan Madson 7 · Clay Condrey 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
Chase Utley 28 arb 1327.7 4.8 +11.8
Jimmy Rollins 28 FA-elig 1626.5 8.0 +5.9
Aaron Rowand 29 FA-elig 1615.4 4.3 +7.4
Cole Hamels 23 pre-arb 303.8 0.4 +7.8
Jayson Werth 28 arb 943.2 0.8 +6.1
Ryan Howard 27 arb 1443.1 0.9 +5.7
Shane Victorino 26 arb 1312.8 0.4 +5.7
Jamie Moyer 44 FA-elig 341.7 6.5 -2.7
Pat Burrell 30 FA-elig 1551.5 13.2 -10.0
Jon Lieber 37 FA-elig 141.4 7.8 -4.7
Carlos Ruiz 28 pre-arb 1151.4 0.4 +2.6
Brett Myers 26 arb 511.2 5.1 -2.4
Kyle Kendrick 22 – 201.2 0.4 +2.1
Michael Bourn 24 pre-arb 1051.0 0.4 +1.9
Kyle Lohse↔ CIN 28 FA-elig 131.0 1.6 +0.6
Tadahito Iguchi↔ CHW 32 pre-arb 451.0 1.1 +1.0
Greg Dobbs 28 arb 1420.8 0.4 +1.3
Rod Barajas 31 FA-elig 480.5 2.5 -1.4
Chris Coste 34 pre-arb 480.4 0.4 +0.6
J.D. Durbin↔ ARI 25 arb 180.4 0.4 +0.6
Ryan Madson 26 arb 380.3 1.1 -0.4
Freddy Garcia 30 FA-elig 110.3 10.0 -9.3
J.C. Romero↔ BOS 31 FA-elig 510.2 1.1 -0.6
Adam Eaton 29 FA-elig 340.2 7.2 -6.7
Yoel Hernandez 27 – 140.2 – –
Russell Branyan↔ SDP 31 FA-elig 70.1 0.1 +0.2
John Ennis 27 – 30.1 – –
Chris Roberson 27 – 280.1 – –
Clay Condrey 31 arb 390.1 0.4 -0.2
Antonio Alfonseca 35 FA-elig 610.0 0.4 -0.3
Joe Bisenius 24 pre-arb 20.0 0.4 -0.3
Anderson Garcia 26 – 10.0 – –
Mike Zagurski 24 – 250.0 – –
Francisco Del Rosario 26 – 230.0 – –
Zack Segovia 24 pre-arb 1-0.0 0.4 -0.4
Kane Davis 32 – 11-0.1 – –
Fabio Castro 22 – 10-0.1 – –
Pete Laforest↔ SDP 29 – 14-0.1 – –
Tom Gordon 39 FA-elig 44-0.2 7.0 -7.4
J.A. Happ 24 – 1-0.2 0.4 -0.9
Abraham O. Nunez 31 FA-elig 136-0.2 1.9 -2.5
Matt Smith 28 pre-arb 9-0.3 0.4 -1.1
Jose Mesa↔ DET 41 FA-elig 40-0.3 1.8 -2.5
Geoff Geary 30 arb 57-0.4 0.8 -1.7
Wes Helms 31 FA-elig 112-0.6 2.3 -3.6
Brian Sanches 28 – 12-0.6 – –

Key additions (new vs 2006)

PlayerfWAR
Jayson Werth3.2
Kyle Kendrick1.2
Kyle Lohse1.0
Tadahito Iguchi1.0
Greg Dobbs0.8
Rod Barajas0.5

Key subtractions (gone from 2006)

Player2006 fWAR
Bobby Abreu1.9
Cory Lidle1.3
David Dellucci1.3
Mike Lieberthal1.1
Arthur Rhodes0.7
Aaron Fultz0.7

Current & Historical Payroll

2007 payroll
$95.4M

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 (17)

PlayerAgeSvc2007200820092010201120122013
Pat Burrell307.000$13.2M$14.2MFREE AGENT
Freddy Garcia308.000$10.0MFREE AGENT
Jimmy Rollins287.000$8.0M$8.0M$8.5M$8.5M$8.5M$11.0M$11.0M
Jon Lieber3713.000$7.8MFREE AGENT
Adam Eaton297.000$7.2M$8.0MFREE AGENT
Tom Gordon3919.000$7.0M$5.5MFREE AGENT
Jamie Moyer4421.000$6.5M$6.0M$6.5M$8.0MFREE AGENT
Aaron Rowand296.000$4.3MFREE AGENT
Rod Barajas318.000$2.5MFREE AGENT
Wes Helms319.000$2.3MFREE AGENT
Abraham O. Nunez3110.000$1.9MFREE AGENT
Jose Mesa4120.000$1.8MFREE AGENT
Kyle Lohse286.000$1.6MFREE AGENT
J.C. Romero318.000$1.1M$3.2M$4.2M$4.2M$900kFREE AGENT
Antonio Alfonseca3510.000$380kFREE AGENT
Russell Branyan319.000$79kFREE AGENT
Kane Davis327.000—FREE AGENT

Arbitration-eligible (10)

PlayerAgeSvc2007200820092010201120122013
Brett Myers265.000$5.1MFREE AGENT
Chase Utley284.000$4.8MARB 3FREE AGENT
Ryan Madson264.000$1.1MARB 3FREE AGENT
Ryan Howard273.000$900kARB 2ARB 3FREE AGENT
Jayson Werth285.000$850kFREE AGENT
Geoff Geary304.000$838kARB 3FREE AGENT
Shane Victorino264.000$410kARB 3FREE AGENT
Greg Dobbs283.000$385kARB 2ARB 3FREE AGENT
Clay Condrey315.000$385kFREE AGENT
J.D. Durbin253.000$360kARB 2ARB 3FREE AGENT

Pre-arbitration (19)

PlayerAgeSvc2007200820092010201120122013
Tadahito Iguchi322.000$1.1MARB 1ARB 2ARB 3FREE AGENT
Cole Hamels231.000$400kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Chris Coste341.000$385kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Matt Smith281.000$380kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Michael Bourn241.000$380kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Carlos Ruiz281.000$380kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Zack Segovia240.000$380kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Joe Bisenius240.000$380kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
J.A. Happ240.000$380kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Kyle Kendrick220.000$380kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
John Ennis27–—
Pete Laforest29–—
Francisco Del Rosario26–—
Brian Sanches281.000—Pre-ArbARB 1ARB 2ARB 3FREE AGENT
Chris Roberson27–—
Anderson Garcia26–—
Fabio Castro221.000—Pre-ArbARB 1ARB 2ARB 3FREE AGENT
Yoel Hernandez27–—
Mike Zagurski240.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Phillies 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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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:'PHI',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);});