RRosternomics
𝕏

Rangers TEX

‹ ›

President of baseball ops: Jon Daniels

Overview

FORCED-SPEND ↘ cooling
expensive & losing · year 2 in this regime · payroll 1.38× league · TAB -5.4
-5.4TAB — talent above budget19th/30
+2.0WAB — realized wins (TAB + luck)12th/30
7.0depth — 2+ WAR regulars12th/30
-4.4dead WAR — sub-replacement drag13th/30
35%dead money %10th/30
0.543win %8th/30
32.7roster fWAR15th/30
-65surplus $M (value vs cost)26th/30
$168Mpayroll $M5th/30

2015: made playoffs · 88–74. Ranks are vs the 30 teams that season.

Roster

CFLeonys Martin 92GDelino DeShields 87GWill Venable 63G
LFWill Venable 39GJosh Hamilton 35GDelino DeShields 35G
RFShin-Soo Choo 148GWill Venable 21GJosh Hamilton 11G
SSElvis Andrus 160GHanser Alberto 8GTommy Field 1G
2BRougned Odor 119GHanser Alberto 24GAdam Rosales 19G
3BAdrian Beltré 142GJoey Gallo 15GAdam Rosales 14G
1BMitch Moreland 120GMike Napoli 111GAdam Rosales 19G
STARTERSYovani Gallardo 2.7WARColby Lewis 2.6WARMartín Pérez 1.6WARCole Hamels 1.4WARWandy Rodriguez 1.0WAR
CRobinson Chirinos 78GBobby Wilson 55GChris Gimenez 36G
DHPrince Fielder 139GDelino DeShields 7GMitch Moreland 7G
BULLPEN★ Shawn Tolleson 35svKeone Kela 22hSam Dyson 21hJake Diekman 16hSam Freeman 12hTanner Scheppers 12hSpencer Patton 3hAnthony Bass 0h
CRobinson Chirinos 78 · Bobby Wilson 55 · Chris Gimenez 36
1BMitch Moreland 120 · Mike Napoli 111 · Adam Rosales 19
2BRougned Odor 119 · Hanser Alberto 24 · Adam Rosales 19
3BAdrian Beltré 142 · Joey Gallo 15 · Adam Rosales 14
SSElvis Andrus 160 · Hanser Alberto 8 · Tommy Field 1
LFWill Venable 39 · Josh Hamilton 35 · Delino DeShields 35
CFLeonys Martin 92 · Delino DeShields 87 · Will Venable 63
RFShin-Soo Choo 148 · Will Venable 21 · Josh Hamilton 11
DHPrince Fielder 139 · Delino DeShields 7 · Mitch Moreland 7
SPYovani Gallardo 2.7 · Colby Lewis 2.6 · Martín Pérez 1.6 · Cole Hamels 1.4 · Wandy Rodriguez 1.0
BP★ Shawn Tolleson 35 · Keone Kela 22 · Sam Dyson 21 · Jake Diekman 16 · Sam Freeman 12 · Tanner Scheppers 12 · Spencer Patton 3 · Anthony Bass 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.

2015 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Adrian Beltré 36 FA-elig 1434.3 16.0 -2.4
Shin-Soo Choo 32 FA-elig 1493.4 14.0 -3.2
Yovani Gallardo 29 FA-elig 332.7 14.0 -5.5
Colby Lewis 35 FA-elig 332.6 4.0 +4.1
Rougned Odor 21 pre-arb 1202.5 0.5 +7.3
Mitch Moreland 29 arb 1322.2 3.0 +4.0
Prince Fielder 31 FA-elig 1582.0 24.0 -17.7
Elvis Andrus 26 FA-elig 1601.8 15.0 -9.2
Martín Pérez 24 arb 141.6 1.0 +4.2
Delino DeShields 22 – 1211.6 0.5 +4.5
Keone Kela 22 – 681.5 0.5 +4.1
Cole Hamels↔ PHI 31 FA-elig 121.4 8.8 -4.4
Shawn Tolleson 27 arb 731.1 0.5 +2.9
Wandy Rodriguez 36 FA-elig 171.0 0.5 +2.6
Sam Dyson↔ MIA 27 arb 311.0 0.2 +2.8
Robinson Chirinos 31 arb 780.8 0.5 +1.9
Leonys Martin 27 arb 950.7 4.8 -2.6
Carlos Peguero↔ BOS 28 – 300.7 0.1 +2.0
Chris Gimenez 32 arb 360.7 0.2 +1.9
Kyle Blanks 28 arb 180.6 1.0 +1.0
Joey Gallo 21 – 360.5 0.2 +1.5
Bobby Wilson↔ TBR 32 FA-elig 310.4 0.4 +1.0
Nick Martinez 24 pre-arb 240.4 0.5 +0.8
Josh Hamilton 34 FA-elig 500.4 22.7 -21.5
Mike Napoli↔ BOS 33 FA-elig 350.3 4.2 -3.1
Anthony Bass 27 arb 330.3 0.7 +0.2
Neftalí Feliz↔ DET 27 FA-elig 180.2 1.5 -0.9
Jake Diekman↔ PHI 28 arb 260.2 0.2 +0.4
Chi Chi González 23 – 140.1 0.2 +0.1
Will Venable↔ SDP 32 FA-elig 370.1 1.2 -1.0
Stolmy Pimentel 25 pre-arb 80.1 0.1 +0.0
Drew Stubbs↔ COL 30 FA-elig 270.0 2.0 -1.9
Carlos Corporán 31 FA-elig 330.0 1.0 -0.9
Anthony Ranaudo 25 pre-arb 40.0 0.1 -0.0
Luke Jackson 23 – 7-0.0 0.1 -0.1
Roman Mendez↔ BOS 24 pre-arb 12-0.0 0.4 -0.4
Andrew Faulkner 22 – 11-0.0 0.1 -0.2
Derek Holland 28 FA-elig 10-0.1 7.4 -7.6
Logan Verrett↔ NYM 25 – 4-0.1 0.0 -0.3
Hanser Alberto 22 – 41-0.1 0.2 -0.5
Tommy Field 28 pre-arb 14-0.1 0.1 -0.3
Ross Ohlendorf 32 – 21-0.1 0.2 -0.5
Michael Choice 25 – 1-0.1 0.0 -0.3
Sam Freeman 28 arb 54-0.1 0.5 -0.8
Kyuji Fujikawa 34 pre-arb 2-0.1 1.1 -1.4
Matt Harrison 29 – 3-0.1 8.4 -8.8
Jake Smolinski↔ OAK 26 pre-arb 35-0.2 0.2 -0.8
Tomás Telis↔ MIA 24 – 6-0.2 0.0 -0.7
Jon Edwards↔ SDP 27 pre-arb 11-0.2 0.3 -0.9
Ryan Rua 25 pre-arb 28-0.2 0.5 -1.2
Phil Klein 26 pre-arb 11-0.2 0.5 -1.3
Ryan Strausborger 27 – 31-0.3 0.2 -1.2
Spencer Patton 27 pre-arb 27-0.3 0.2 -1.2
Alex Claudio 23 pre-arb 18-0.3 0.5 -1.6
Adam Rosales 32 FA-elig 55-0.4 0.9 -2.2
Ross Detwiler↔ ATL 29 FA-elig 17-0.5 1.4 -3.1
Tanner Scheppers 28 arb 42-0.5 0.5 -2.2

Key additions (new vs 2014)

PlayerfWAR
Yovani Gallardo2.7
Delino DeShields1.6
Keone Kela1.5
Cole Hamels1.4
Wandy Rodriguez1.0
Sam Dyson1.0

Key subtractions (gone from 2014)

Player2014 fWAR
Joakim Soria1.6
Neal Cotts0.6
Kevin Kouzmanoff0.6
Jerome Williams0.2
Josh Wilson0.2
Jason Frasor0.2

Current & Historical Payroll

2015 payroll
$167.9M
2016 guaranteed
$0M

What the front office was committed to as of 2015, 2015–2021. Guaranteed $ are contract commitments signed by 2015; arbitration & free-agent years are projected from service time. Hover a figure for its luxury-tax (CBT) & actual-cash values.

current $ guaranteed $ arbitration (proj) pre-arb (proj) free agent club option player option mutual option vesting option

Guaranteed / signed (11)

PlayerAgeSvc2015201620172018201920202021
Prince Fielder319.068$24.0MFREE AGENT
Josh Hamilton348.000$22.7MFREE AGENT
Adrian Beltré3616.096$16.0MFREE AGENT
Elvis Andrus266.000$15.0MFREE AGENT
Shin-Soo Choo327.119$14.0MFREE AGENT
Yovani Gallardo297.108$14.0MFREE AGENT
Cole Hamels318.143$8.8MFREE AGENT
Matt Harrison296.083$8.4MFREE AGENT
Mike Napoli338.151$4.2MFREE AGENT
Colby Lewis358.132$4.0MFREE AGENT
Wandy Rodriguez3610.000$507kFREE AGENT

Arbitration-eligible (12)

PlayerAgeSvc2015201620172018201920202021
Derek Holland285.120$7.4MFREE AGENT
Mitch Moreland294.067$3.0MARB 3FREE AGENT
Drew Stubbs305.047$2.0MFREE AGENT
Neftalí Feliz274.151$1.5MARB 3FREE AGENT
Ross Detwiler295.002$1.4MFREE AGENT
Will Venable325.155$1.2MFREE AGENT
Kyle Blanks285.005$1.0MFREE AGENT
Carlos Corporán313.019$975kARB 2ARB 3FREE AGENT
Adam Rosales325.022$900kFREE AGENT
Bobby Wilson323.090$388kARB 2ARB 3FREE AGENT
Ross Ohlendorf325.170$214kFREE AGENT
Chris Gimenez323.097$180kARB 2ARB 3FREE AGENT

Pre-arbitration (34)

PlayerAgeSvc2015201620172018201920202021
Leonys Martin272.113$4.8MARB 1ARB 2ARB 3FREE AGENT
Kyuji Fujikawa342.000$1.1MARB 1ARB 2ARB 3FREE AGENT
Martín Pérez242.038$1.0MARB 1ARB 2ARB 3FREE AGENT
Anthony Bass272.148$725kARB 1ARB 2ARB 3FREE AGENT
Shawn Tolleson272.122$520kARB 1ARB 2ARB 3FREE AGENT
Robinson Chirinos312.102$518kARB 1ARB 2ARB 3FREE AGENT
Sam Freeman281.066$517kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tanner Scheppers282.119$515kARB 1ARB 2ARB 3FREE AGENT
Nick Martinez241.000$515kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Rougned Odor210.144$514kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Phil Klein260.086$509kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Alex Claudio230.047$508kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ryan Rua250.031$508kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Delino DeShields220.000$507kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Keone Kela220.000$507kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Roman Mendez241.000$408kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jon Edwards271.141$254kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jake Smolinski260.084$234kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Hanser Alberto220.000$233kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sam Dyson270.142$210kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jake Diekman282.050$208kARB 1ARB 2ARB 3FREE AGENT
Chi Chi González230.000$191kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Spencer Patton270.025$186kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Joey Gallo210.000$172kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ryan Strausborger27–$169k
Stolmy Pimentel251.030$112kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Luke Jackson230.000$103kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Andrew Faulkner220.000$103kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Carlos Peguero282.008$95kARB 1ARB 2ARB 3FREE AGENT
Tommy Field280.070$53kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Anthony Ranaudo250.052$50kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Logan Verrett250.000$48kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tomás Telis240.035$43kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Michael Choice250.164$3kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Rangers 2015; 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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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:'TEX',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);});