RRosternomics
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Dodgers LAD

‹ ›

President of baseball ops: Andrew Friedman

Overview

CONTEND ↗ rising
expensive & winning · year 8 in this regime · payroll 1.57× league · TAB +21.4
+21.4TAB — talent above budget
+28.5WAB — realized wins (TAB + luck)
2.0depth — 2+ WAR regulars5th/30
-1.2dead WAR — sub-replacement drag1st/30
20%dead money %2nd/30
0.717win %1st/30
22.6roster fWAR1st/30
-20surplus $M (value vs cost)15th/30
$186Mpayroll $M3rd/30

2020: World Series champions · 43–17. Ranks are vs the 30 teams that season.

Roster

CFCody Bellinger 39GAJ Pollock 16GChris Taylor 6G
LFAJ Pollock 27GJoc Pederson 23GChris Taylor 19G
RFMookie Betts 52GEnrique Hernández 9GJoc Pederson 8G
SSCorey Seager 43GChris Taylor 20GEnrique Hernández 2G
2BEnrique Hernández 30GGavin Lux 18GChris Taylor 13G
3BJustin Turner 32GEdwin Rios 21GMax Muncy 16G
1BMax Muncy 35GCody Bellinger 19GMatt Beaty 13G
STARTERSTony Gonsolin 1.9WARClayton Kershaw 1.4WARJulio Urías 1.3WARWalker Buehler 0.6WARDustin May 0.5WAR
CWill Smith 34GAustin Barnes 28GKeibert Ruiz 2G
DHJoc Pederson 12GAJ Pollock 11GJustin Turner 10G
BULLPEN★ Kenley Jansen 11svBlake Treinen 9hBrusdar Graterol 7hJake McGee 6hPedro Báez 6hDylan Floro 5hCaleb Ferguson 5hAdam Kolarek 4h
CWill Smith 34 · Austin Barnes 28 · Keibert Ruiz 2
1BMax Muncy 35 · Cody Bellinger 19 · Matt Beaty 13
2BEnrique Hernández 30 · Gavin Lux 18 · Chris Taylor 13
3BJustin Turner 32 · Edwin Rios 21 · Max Muncy 16
SSCorey Seager 43 · Chris Taylor 20 · Enrique Hernández 2
LFAJ Pollock 27 · Joc Pederson 23 · Chris Taylor 19
CFCody Bellinger 39 · AJ Pollock 16 · Chris Taylor 6
RFMookie Betts 52 · Enrique Hernández 9 · Joc Pederson 8
DHJoc Pederson 12 · AJ Pollock 11 · Justin Turner 10
SPTony Gonsolin 1.9 · Clayton Kershaw 1.4 · Julio Urías 1.3 · Walker Buehler 0.6 · Dustin May 0.5
BP★ Kenley Jansen 11 · Blake Treinen 9 · Brusdar Graterol 7 · Jake McGee 6 · Pedro Báez 6 · Dylan Floro 5 · Caleb Ferguson 5 · Adam Kolarek 4

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.

2020 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Mookie Betts 27 FA-elig 552.7 27.0 -6.9
Corey Seager 26 arb 522.3 7.6 +9.3
Tony Gonsolin 26 pre-arb 91.9 0.1 +13.6
Chris Taylor 29 FA-elig 561.7 5.6 +6.9
Cody Bellinger 24 arb 561.6 11.5 +0.2
Clayton Kershaw 32 FA-elig 101.4 31.0 -20.5
Justin Turner 35 FA-elig 421.3 20.0 -10.2
Julio Urías 23 arb 111.3 1.0 +8.4
AJ Pollock 32 FA-elig 551.2 15.0 -6.5
Will Smith 25 pre-arb 371.1 0.2 +7.5
Austin Barnes 30 arb 290.8 1.1 +4.7
Edwin Rios 26 pre-arb 320.7 0.2 +5.1
Jake McGee 33 FA-elig 240.7 0.2 +4.7
Victor González 24 – 150.6 0.1 +4.4
Walker Buehler 25 pre-arb 80.6 0.2 +3.9
Dylan Floro 29 pre-arb 250.6 0.2 +3.9
Kenley Jansen 32 FA-elig 270.6 18.0 -13.9
Blake Treinen 32 FA-elig 270.5 10.0 -6.2
Dustin May 22 pre-arb 120.5 0.2 +3.4
Brusdar Graterol 21 pre-arb 230.4 0.2 +2.4
Adam Kolarek 31 pre-arb 210.4 0.2 +2.4
Caleb Ferguson 23 pre-arb 210.3 0.2 +1.7
Enrique Hernández 28 FA-elig 480.3 5.9 -4.0
Max Muncy 29 arb 580.2 2.5 -0.7
Pedro Báez 32 FA-elig 180.1 4.0 -3.1
Joe Kelly 32 FA-elig 120.1 8.8 -8.0
Mitch White 25 – 20.0 0.0 +0.3
Keibert Ruiz 21 – 20.0 0.0 +0.3
Gavin Lux 22 pre-arb 190.0 0.1 +0.0
Zach McKinstry 25 – 40.0 0.0 -0.0
Alex Wood 29 FA-elig 9-0.0 4.0 -4.0
Terrance Gore 29 pre-arb 2-0.0 0.0 -0.1
Josh Sborz 26 pre-arb 4-0.0 0.1 -0.4
Matt Beaty 27 pre-arb 21-0.1 0.2 -1.0
Joc Pederson 28 FA-elig 43-0.1 7.8 -8.8
Dennis Santana 24 pre-arb 12-0.2 0.2 -1.6
Scott Alexander 30 arb 13-0.2 0.9 -2.5
Ross Stripling↔ TOR 30 arb 7-0.5 1.2 -4.6

Key additions (new vs 2019)

PlayerfWAR
Mookie Betts2.7
Jake McGee0.7
Victor González0.6
Blake Treinen0.5
Brusdar Graterol0.4
Mitch White0.0

Key subtractions (gone from 2019)

Player2019 fWAR
Hyun Jin Ryu5.3
Alex Verdugo2.2
David Freese1.7
Russell Martin1.1
Rich Hill1.0
Kyle Garlick0.2

Current & Historical Payroll

2020 payroll
$185.6M
2021 guaranteed
$0M

What the front office was committed to as of 2020, 2020–2026. Guaranteed $ are contract commitments signed by 2020; 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 (7)

PlayerAgeSvc2020202120222023202420252026
Clayton Kershaw3211.105$31.0MFREE AGENT
Justin Turner359.045$20.0MFREE AGENT
Kenley Jansen329.072$18.0MFREE AGENT
AJ Pollock327.052$15.0MFREE AGENT
Joe Kelly327.029$8.8MFREE AGENT
Alex Wood296.123$4.0MFREE AGENT
Jake McGee338.127$209kFREE AGENT

Arbitration-eligible (12)

PlayerAgeSvc2020202120222023202420252026
Mookie Betts275.070$27.0MFREE AGENT
Blake Treinen325.065$10.0MFREE AGENT
Joc Pederson285.028$7.8MFREE AGENT
Corey Seager264.032$7.6MARB 3FREE AGENT
Enrique Hernández285.054$5.9MFREE AGENT
Chris Taylor294.037$5.6MARB 3FREE AGENT
Pedro Báez325.059$4.0MFREE AGENT
Max Muncy293.027$2.5MARB 2ARB 3FREE AGENT
Ross Stripling303.115$1.2MARB 2ARB 3FREE AGENT
Austin Barnes303.098$1.1MARB 2ARB 3FREE AGENT
Scott Alexander303.097$875kARB 2ARB 3FREE AGENT
Keibert Ruiz215.064$25kFREE AGENT

Pre-arbitration (19)

PlayerAgeSvc2020202120222023202420252026
Cody Bellinger242.160$11.5MARB 1ARB 2ARB 3FREE AGENT
Julio Urías232.122$1.0MARB 1ARB 2ARB 3FREE AGENT
Walker Buehler251.168$224kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Dylan Floro292.049$220kARB 1ARB 2ARB 3FREE AGENT
Caleb Ferguson231.093$216kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Will Smith250.090$212kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Dustin May220.059$212kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Edwin Rios260.043$210kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Brusdar Graterol210.029$210kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Adam Kolarek311.122$190kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Dennis Santana240.133$162kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Matt Beaty270.137$158kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Victor González240.000$143kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tony Gonsolin260.049$116kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Gavin Lux220.028$97kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Josh Sborz260.049$87kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Terrance Gore291.030$28kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Mitch White250.000$28kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Zach McKinstry250.000$19kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Dodgers 2020; 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:'LAD',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);});