RRosternomics
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Mets NYM

‹ ›

GM: Sandy Alderson

Overview

CONTEND ↗ rising
expensive & winning · year 1 in this regime · payroll 1.15× league · TAB +6.2
+6.2TAB — talent above budget8th/30
+3.3WAB — realized wins (TAB + luck)10th/30
10.0depth — 2+ WAR regulars2nd/30
-3.4dead WAR — sub-replacement drag5th/30
34%dead money %13th/30
0.537win %9th/30
42.1roster fWAR6th/30
-8surplus $M (value vs cost)14th/30
$144Mpayroll $M11th/30

2016: made playoffs · 87–75. Ranks are vs the 30 teams that season.

Roster

CFJuan Lagares 68GYoenis Cespedes 63GAlejandro De Aza 46G
LFYoenis Cespedes 80GMichael Conforto 73GAlejandro De Aza 22G
RFJay Bruce 138GCurtis Granderson 110GAlejandro De Aza 14G
SSAsdrúbal Cabrera 135GMatt Reynolds 21GJosé Reyes 13G
2BNeil Walker 111GKelly Johnson 52GT.J. Rivera 26G
3BWilmer Flores 51GJosé Reyes 50GDavid Wright 36G
1BJames Loney 97GLucas Duda 45GWilmer Flores 27G
STARTERSNoah Syndergaard 6.8WARJacob deGrom 3.0WARSteven Matz 2.7WARBartolo Colon 2.2WARMatt Harvey 1.8WAR
CTravis d'Arnaud 73GRené Rivera 59GKevin Plawecki 45G
DHYoenis Cespedes 4GMichael Conforto 4GJay Bruce 2G
BULLPEN★ Jeurys Familia 51svAddison Reed 40hFernando Salas 20hJerry Blevins 16hHansel Robles 13hJim Henderson 11hErik Goeddel 3hJosh Smoker 3h
CTravis d'Arnaud 73 · René Rivera 59 · Kevin Plawecki 45
1BJames Loney 97 · Lucas Duda 45 · Wilmer Flores 27
2BNeil Walker 111 · Kelly Johnson 52 · T.J. Rivera 26
3BWilmer Flores 51 · José Reyes 50 · David Wright 36
SSAsdrúbal Cabrera 135 · Matt Reynolds 21 · José Reyes 13
LFYoenis Cespedes 80 · Michael Conforto 73 · Alejandro De Aza 22
CFJuan Lagares 68 · Yoenis Cespedes 63 · Alejandro De Aza 46
RFJay Bruce 138 · Curtis Granderson 110 · Alejandro De Aza 14
DHYoenis Cespedes 4 · Michael Conforto 4 · Jay Bruce 2
SPNoah Syndergaard 6.8 · Jacob deGrom 3.0 · Steven Matz 2.7 · Bartolo Colon 2.2 · Matt Harvey 1.8
BP★ Jeurys Familia 51 · Addison Reed 40 · Fernando Salas 20 · Jerry Blevins 16 · Hansel Robles 13 · Jim Henderson 11 · Erik Goeddel 3 · Josh Smoker 3

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.

2016 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Noah Syndergaard 23 pre-arb 316.8 0.5 +21.6
Asdrúbal Cabrera 30 FA-elig 1413.4 8.2 +2.9
Yoenis Cespedes 30 arb 1323.3 27.5 -16.9
Jacob deGrom 28 pre-arb 273.0 0.6 +9.2
Curtis Granderson 35 FA-elig 1502.9 16.0 -6.6
Steven Matz 25 pre-arb 242.7 0.5 +8.3
Addison Reed 27 arb 802.4 5.3 +2.5
Neil Walker 30 FA-elig 1132.3 10.6 -3.0
Bartolo Colon 43 FA-elig 342.2 7.2 -0.1
Jeurys Familia 26 arb 782.1 4.1 +2.6
Matt Harvey 27 arb 171.8 4.3 +1.4
José Reyes 33 FA-elig 601.3 0.2 +4.1
Travis d'Arnaud 27 arb 751.2 0.5 +3.3
René Rivera 32 arb 651.2 0.4 +3.4
Robert Gsellman 22 – 91.1 0.1 +3.5
Kelly Johnson↔ ATL 34 FA-elig 821.0 1.3 +2.1
Michael Conforto 23 pre-arb 1091.0 0.5 +2.6
Hansel Robles 25 pre-arb 680.8 0.5 +2.0
Wilmer Flores 24 arb 1030.7 0.5 +1.8
Juan Lagares 27 arb 790.7 2.5 -0.2
Jerry Blevins 32 FA-elig 730.6 4.0 -2.0
T.J. Rivera 27 – 330.5 0.1 +1.6
Ty Kelly 27 – 390.5 0.2 +1.3
Kevin Plawecki 25 pre-arb 480.4 0.5 +0.9
Gabriel Ynoa 23 – 100.4 0.1 +1.2
Seth Lugo 26 – 170.3 0.2 +0.7
Fernando Salas↔ ANA 31 FA-elig 170.2 0.5 +0.1
Matt Reynolds 25 – 470.2 0.2 +0.3
Justin Ruggiano↔ TEX 34 FA-elig 80.2 1.5 -0.9
Lucas Duda 30 FA-elig 470.1 6.7 -6.3
Gavin Cecchini 22 pre-arb 40.1 0.1 +0.2
Brandon Nimmo 23 – 320.1 0.2 +0.1
Josh Edgin 29 arb 16-0.0 0.6 -0.6
James Loney 32 FA-elig 100-0.0 0.3 -0.4
Josh Smoker 27 pre-arb 20-0.0 0.1 -0.2
Erik Goeddel 27 pre-arb 36-0.0 0.3 -0.4
David Wright 33 FA-elig 37-0.1 20.0 -20.2
Jim Henderson 33 arb 44-0.2 0.6 -1.2
Alejandro De Aza 32 FA-elig 130-0.2 5.8 -6.4
Antonio Bastardo↔ PIT 30 FA-elig 41-0.2 3.2 -3.9
Sean Gilmartin 26 pre-arb 14-0.3 0.2 -1.1
Jay Bruce↔ CIN 29 FA-elig 50-0.3 4.3 -5.2
Jonathon Niese↔ PIT 29 FA-elig 6-0.4 1.8 -3.0
Eric Campbell 29 pre-arb 40-0.4 0.5 -1.7
Rafael Montero 25 pre-arb 9-0.4 0.1 -1.4
Logan Verrett 26 pre-arb 35-0.9 0.5 -3.4

Key additions (new vs 2015)

PlayerfWAR
Asdrúbal Cabrera3.4
Neil Walker2.3
José Reyes1.3
René Rivera1.2
Robert Gsellman1.1
T.J. Rivera0.5

Key subtractions (gone from 2015)

Player2015 fWAR
Daniel Murphy2.2
Juan Uribe0.6
Dilson Herrera0.5
Darrell Ceciliani0.3
Buddy Carlyle0.2
Jenrry Mejia0.2

Current & Historical Payroll

2016 payroll
$144.2M
2017 guaranteed
$0M

What the front office was committed to as of 2016, 2016–2022. Guaranteed $ are contract commitments signed by 2016; 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 (12)

PlayerAgeSvc2016201720182019202020212022
David Wright3313.075$20.0MFREE AGENT
Curtis Granderson3514.077$16.0MFREE AGENT
Asdrúbal Cabrera308.027$8.2MFREE AGENT
Bartolo Colon4317.061$7.2MFREE AGENT
Alejandro De Aza329.000$5.8MFREE AGENT
Jay Bruce297.125$4.3MFREE AGENT
Jerry Blevins326.081$4.0MFREE AGENT
Antonio Bastardo306.054$3.2MFREE AGENT
Jonathon Niese296.107$1.8MFREE AGENT
Kelly Johnson3410.127$1.3MFREE AGENT
James Loney329.012$347kFREE AGENT
José Reyes3312.111$250kFREE AGENT

Arbitration-eligible (12)

PlayerAgeSvc2016201720182019202020212022
Yoenis Cespedes304.000$27.5MARB 3FREE AGENT
Neil Walker305.166$10.6MFREE AGENT
Lucas Duda304.137$6.7MARB 3FREE AGENT
Addison Reed274.001$5.3MARB 3FREE AGENT
Matt Harvey273.072$4.3MARB 2ARB 3FREE AGENT
Jeurys Familia263.029$4.1MARB 2ARB 3FREE AGENT
Justin Ruggiano344.123$1.5MARB 3FREE AGENT
Josh Edgin293.015$625kARB 2ARB 3FREE AGENT
Jim Henderson334.000$600kARB 3FREE AGENT
Fernando Salas315.048$544kFREE AGENT
René Rivera324.082$444kARB 3FREE AGENT
Matt Reynolds254.089$236kARB 3FREE AGENT

Pre-arbitration (22)

PlayerAgeSvc2016201720182019202020212022
Juan Lagares272.160$2.5MARB 1ARB 2ARB 3FREE AGENT
Jacob deGrom281.139$607kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Travis d'Arnaud272.044$543kARB 1ARB 2ARB 3FREE AGENT
Noah Syndergaard230.149$535kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Wilmer Flores242.003$526kARB 1ARB 2ARB 3FREE AGENT
Michael Conforto230.073$517kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Hansel Robles251.000$516kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Steven Matz250.099$516kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Logan Verrett260.094$515kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Eric Campbell291.112$513kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Kevin Plawecki250.147$511kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Erik Goeddel271.126$273kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Seth Lugo260.000$227kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ty Kelly270.000$191kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Brandon Nimmo230.000$183kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sean Gilmartin261.000$153kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Josh Smoker271.044$128kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Robert Gsellman220.000$116kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
T.J. Rivera270.000$114kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Rafael Montero251.051$108kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Gabriel Ynoa230.000$105kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Gavin Cecchini220.082$75kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Mets 2016; 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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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:'NYM',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);});