RRosternomics
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Athletics OAK

‹ ›

President of baseball ops: Billy Beane · GM: David Forst

Overview

WINDOW ↘ cooling
cheap & winning · year 4 in this regime · payroll 0.82× league · TAB +10.1
+10.1TAB — talent above budget
+17.8WAB — realized wins (TAB + luck)
0.0depth — 2+ WAR regulars20th/30
-2.1dead WAR — sub-replacement drag6th/30
59%dead money %22nd/30
0.600win %4th/30
15.5roster fWAR9th/30
+17surplus $M (value vs cost)6th/30
$97Mpayroll $M19th/30

2020: made playoffs · 36–24. Ranks are vs the 30 teams that season.

Roster

CFRamón Laureano 53GMark Canha 9GRobbie Grossman 2G
LFRobbie Grossman 46GMark Canha 15GTony Kemp 3G
RFStephen Piscotty 44GMark Canha 17GRobbie Grossman 1G
SSMarcus Semien 53GVimael Machín 6GNate Orf 3G
2BTony Kemp 43GTommy La Stella 33GChad Pinder 13G
3BMatt Chapman 36GJake Lamb 14GVimael Machín 10G
1BMatt Olson 60GSeth Brown 3GMark Canha 3G
STARTERSChris Bassitt 1.3WARSean Manaea 1.1WARJesús Luzardo 0.8WARMike Fiers 0.6WARMike Minor 0.5WAR
CSean Murphy 43GAustin Allen 14GJonah Heim 12G
DHKhris Davis 27GMark Canha 21GTommy La Stella 9G
BULLPEN★ Liam Hendriks 14svJake Diekman 13hT.J. McFarland 7hYusmeiro Petit 7hJoakim Soria 4hJ.B. Wendelken 2hLou Trivino 0hJordan Weems 0h
CSean Murphy 43 · Austin Allen 14 · Jonah Heim 12
1BMatt Olson 60 · Seth Brown 3 · Mark Canha 3
2BTony Kemp 43 · Tommy La Stella 33 · Chad Pinder 13
3BMatt Chapman 36 · Jake Lamb 14 · Vimael Machín 10
SSMarcus Semien 53 · Vimael Machín 6 · Nate Orf 3
LFRobbie Grossman 46 · Mark Canha 15 · Tony Kemp 3
CFRamón Laureano 53 · Mark Canha 9 · Robbie Grossman 2
RFStephen Piscotty 44 · Mark Canha 17 · Robbie Grossman 1
DHKhris Davis 27 · Mark Canha 21 · Tommy La Stella 9
SPChris Bassitt 1.3 · Sean Manaea 1.1 · Jesús Luzardo 0.8 · Mike Fiers 0.6 · Mike Minor 0.5
BP★ Liam Hendriks 14 · Jake Diekman 13 · T.J. McFarland 7 · Yusmeiro Petit 7 · Joakim Soria 4 · J.B. Wendelken 2 · Lou Trivino 0 · Jordan Weems 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.

2020 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Sean Murphy 25 pre-arb 431.6 0.2 +11.3
Robbie Grossman 30 FA-elig 511.5 3.7 +7.3
Mark Canha 31 arb 591.5 4.8 +6.1
Liam Hendriks 31 FA-elig 241.4 5.3 +5.0
Chris Bassitt 31 FA-elig 111.3 2.2 +7.2
Ramón Laureano 25 pre-arb 541.1 0.2 +8.1
Matt Chapman 27 pre-arb 371.1 0.2 +7.7
Sean Manaea 28 arb 111.1 3.8 +4.1
Jesús Luzardo 22 pre-arb 120.8 0.2 +5.6
Tommy La Stella↔ ANA 31 FA-elig 270.7 1.6 +3.6
Mike Fiers 35 FA-elig 110.6 8.1 -3.7
Tony Kemp 28 pre-arb 490.5 0.2 +3.7
Matt Olson 26 pre-arb 600.5 0.2 +3.7
Joakim Soria 36 FA-elig 220.5 8.5 -4.7
Jake Diekman 33 FA-elig 210.5 2.8 +0.9
Mike Minor↔ TEX 32 FA-elig 50.5 4.1 -0.5
Frankie Montas 27 pre-arb 110.4 0.2 +3.0
J.B. Wendelken 27 pre-arb 210.4 0.2 +2.8
Burch Smith 30 pre-arb 60.4 0.3 +2.4
Jake Lamb↔ ARI 29 FA-elig 130.3 2.3 +0.1
Marcus Semien 29 FA-elig 530.3 13.0 -11.0
Chad Pinder 28 arb 240.2 2.0 -0.7
Lou Trivino 28 pre-arb 200.1 0.2 +0.8
Jordan Weems 27 – 90.1 0.2 +0.8
Yusmeiro Petit 35 FA-elig 260.1 5.5 -4.7
Paul Blackburn 26 pre-arb 10.0 0.0 +0.2
Austin Allen 26 pre-arb 140.0 0.1 +0.0
Daniel Mengden 27 pre-arb 4-0.1 0.2 -0.6
Seth Brown 27 pre-arb 7-0.1 0.1 -0.9
Jonah Heim 25 – 13-0.1 0.1 -0.9
Khris Davis 32 FA-elig 30-0.1 16.8 -17.7
James Kaprielian 26 – 2-0.2 0.0 -1.1
Daulton Jefferies 24 – 1-0.2 0.0 -1.6
Stephen Piscotty 29 arb 45-0.2 7.3 -8.9
Vimael Machín 26 – 24-0.2 0.2 -1.8
Franklin Barreto↔ ANA 24 – 15-0.2 0.1 -1.9
Nate Orf 30 – 6-0.3 0.0 -2.0
T.J. McFarland 31 FA-elig 23-0.4 1.8 -4.6

Key additions (new vs 2019)

PlayerfWAR
Tommy La Stella0.7
Tony Kemp0.5
Mike Minor0.5
Burch Smith0.4
Jake Lamb0.3
Jordan Weems0.1

Key subtractions (gone from 2019)

Player2019 fWAR
Brett Anderson2.2
Homer Bailey1.8
Jurickson Profar1.0
Dustin Garneau0.2
Tanner Anderson0.2
Brian Schlitter0.1

Current & Historical Payroll

2020 payroll
$96.8M
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
Khris Davis326.104$16.8MFREE AGENT
Joakim Soria3613.000$8.5MFREE AGENT
Mike Fiers359.000$8.1MFREE AGENT
Yusmeiro Petit359.016$5.5MFREE AGENT
Mike Minor328.138$4.1MFREE AGENT
Jake Diekman337.050$2.8MFREE AGENT
Tommy La Stella316.000$1.6MFREE AGENT

Arbitration-eligible (11)

PlayerAgeSvc2020202120222023202420252026
Marcus Semien295.118$13.0MFREE AGENT
Stephen Piscotty294.076$7.3MARB 3FREE AGENT
Liam Hendriks315.164$5.3MFREE AGENT
Mark Canha314.092$4.8MARB 3FREE AGENT
Sean Manaea283.157$3.8MARB 2ARB 3FREE AGENT
Robbie Grossman305.059$3.7MFREE AGENT
Jake Lamb295.053$2.3MFREE AGENT
Chris Bassitt313.130$2.2MARB 2ARB 3FREE AGENT
Chad Pinder283.047$2.0MARB 2ARB 3FREE AGENT
T.J. McFarland315.164$1.8MFREE AGENT
James Kaprielian263.167$31kARB 2ARB 3FREE AGENT

Pre-arbitration (20)

PlayerAgeSvc2020202120222023202420252026
Burch Smith302.095$252kARB 1ARB 2ARB 3FREE AGENT
Matt Chapman272.109$231kARB 1ARB 2ARB 3FREE AGENT
Matt Olson262.103$224kARB 1ARB 2ARB 3FREE AGENT
Tony Kemp282.098$221kARB 1ARB 2ARB 3FREE AGENT
Frankie Montas272.015$212kARB 1ARB 2ARB 3FREE AGENT
J.B. Wendelken271.028$211kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ramón Laureano251.059$211kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Lou Trivino281.163$211kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Vimael Machín260.000$209kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jesús Luzardo220.021$209kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sean Murphy250.029$209kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Daniel Mengden272.088$187kARB 1ARB 2ARB 3FREE AGENT
Jordan Weems270.000$181kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jonah Heim250.000$109kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Austin Allen260.077$103kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Franklin Barreto241.031$81kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Seth Brown270.035$62kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Nate Orf302.062$47kARB 1ARB 2ARB 3FREE AGENT
Paul Blackburn261.124$19kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Daulton Jefferies240.000$3kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

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