RRosternomics
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Mets NYM

‹ ›

GM: Sandy Alderson

Overview

WINDOW → steady
cheap & winning · year 1 in this regime · payroll 0.98× league · TAB +9.6
+9.6TAB — talent above budget6th/30
+8.4WAB — realized wins (TAB + luck)7th/30
9.0depth — 2+ WAR regulars4th/30
-3.9dead WAR — sub-replacement drag10th/30
33%dead money %8th/30
0.556win %7th/30
43.6roster fWAR6th/30
+19surplus $M (value vs cost)9th/30
$119Mpayroll $M15th/30

2015: won pennant · 90–72. Ranks are vs the 30 teams that season.

Roster

CFJuan Lagares 137GYoenis Cespedes 40GKirk Nieuwenhuis 16G
LFYoenis Cespedes 134GMichael Cuddyer 69GMichael Conforto 50G
RFCurtis Granderson 149GJohn Mayberry Jr. 11GKelly Johnson 8G
SSWilmer Flores 103GRubén Tejada 81GKelly Johnson 1G
2BDaniel Murphy 69GWilmer Flores 37GDilson Herrera 29G
3BJuan Uribe 92GEric Campbell 48GDaniel Murphy 42G
1BLucas Duda 129GKelly Johnson 25GMichael Cuddyer 18G
STARTERSJacob deGrom 5.2WARMatt Harvey 3.9WARNoah Syndergaard 3.2WARBartolo Colon 2.4WARJonathon Niese 1.0WAR
CKevin Plawecki 70GTravis d'Arnaud 64GAnthony Recker 28G
DHMichael Cuddyer 5GYoenis Cespedes 3GCurtis Granderson 1G
BULLPEN★ Jeurys Familia 43svAddison Reed 14hHansel Robles 12hCarlos Torres 11hTyler Clippard 8hAlex Torres 7hEric O'Flaherty 4hSean Gilmartin 2h
CKevin Plawecki 70 · Travis d'Arnaud 64 · Anthony Recker 28
1BLucas Duda 129 · Kelly Johnson 25 · Michael Cuddyer 18
2BDaniel Murphy 69 · Wilmer Flores 37 · Dilson Herrera 29
3BJuan Uribe 92 · Eric Campbell 48 · Daniel Murphy 42
SSWilmer Flores 103 · Rubén Tejada 81 · Kelly Johnson 1
LFYoenis Cespedes 134 · Michael Cuddyer 69 · Michael Conforto 50
CFJuan Lagares 137 · Yoenis Cespedes 40 · Kirk Nieuwenhuis 16
RFCurtis Granderson 149 · John Mayberry Jr. 11 · Kelly Johnson 8
DHMichael Cuddyer 5 · Yoenis Cespedes 3 · Curtis Granderson 1
SPJacob deGrom 5.2 · Matt Harvey 3.9 · Noah Syndergaard 3.2 · Bartolo Colon 2.4 · Jonathon Niese 1.0
BP★ Jeurys Familia 43 · Addison Reed 14 · Hansel Robles 12 · Carlos Torres 11 · Tyler Clippard 8 · Alex Torres 7 · Eric O'Flaherty 4 · Sean Gilmartin 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.

2015 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Curtis Granderson 34 FA-elig 1575.3 16.0 +0.8
Jacob deGrom 27 pre-arb 315.2 0.6 +15.7
Matt Harvey 26 arb 293.9 0.6 +11.8
Travis d'Arnaud 26 pre-arb 673.4 0.5 +10.1
Noah Syndergaard 22 – 243.2 0.4 +9.8
Lucas Duda 29 arb 1353.2 4.2 +5.9
Yoenis Cespedes↔ DET 29 arb 572.6 3.8 +4.3
Bartolo Colon 42 FA-elig 332.4 11.0 -3.3
Daniel Murphy 30 FA-elig 1302.2 8.0 -1.1
Michael Conforto 22 – 561.9 0.2 +5.7
Wilmer Flores 23 pre-arb 1371.7 0.5 +4.9
Jeurys Familia 25 arb 761.5 0.5 +4.2
Kevin Plawecki 24 – 731.1 0.4 +3.2
Rubén Tejada 25 arb 1161.1 1.9 +1.7
David Wright 32 FA-elig 381.0 20.0 -16.8
Jonathon Niese 28 FA-elig 331.0 7.0 -3.8
Sean Gilmartin 25 – 500.9 0.5 +2.4
Steven Matz 24 – 60.7 0.3 +1.9
Juan Uribe↔ ATL 36 FA-elig 440.6 2.4 -0.6
Juan Lagares 26 pre-arb 1430.6 0.5 +1.2
Erik Goeddel 26 pre-arb 350.5 0.5 +1.0
Dilson Herrera 21 pre-arb 310.5 0.2 +1.2
Carlos Torres 32 FA-elig 590.4 0.6 +0.7
Rafael Montero 24 pre-arb 50.3 0.5 +0.5
Addison Reed↔ ARI 26 arb 170.3 1.5 -0.6
Darrell Ceciliani 25 pre-arb 390.3 0.4 +0.5
Buddy Carlyle 37 FA-elig 110.2 0.7 +0.0
Jerry Blevins 31 arb 70.2 2.4 -1.7
Jenrry Mejia 25 arb 70.2 2.6 -2.0
Michael Cuddyer 36 FA-elig 1170.2 8.5 -8.0
Dillon Gee 29 arb 80.2 5.3 -4.8
Kelly Johnson↔ ATL 33 FA-elig 490.2 0.7 -0.1
Hansel Robles 24 – 570.2 0.5 +0.0
Kirk Nieuwenhuis↔ ANA 27 arb 640.1 0.5 -0.0
Jack Leathersich 24 – 170.1 0.4 +0.0
Logan Verrett↔ TEX 25 – 140.1 0.2 +0.2
Eric Young Jr.↔ ATL 30 FA-elig 18-0.1 0.3 -0.5
Bobby Parnell 30 FA-elig 30-0.1 3.7 -4.1
Akeel Morris 22 – 1-0.1 0.0 -0.4
Tim Stauffer↔ MIN 33 FA-elig 5-0.1 0.6 -1.0
Eric O'Flaherty↔ OAK 30 FA-elig 16-0.1 2.1 -2.6
Tyler Clippard↔ OAK 30 FA-elig 32-0.2 3.8 -4.3
Danny Muno 26 – 17-0.2 0.1 -0.8
Eric Campbell 28 pre-arb 71-0.2 0.5 -1.3
Dario Alvarez 26 pre-arb 6-0.3 0.1 -1.1
John Mayberry Jr. 31 FA-elig 59-0.3 1.4 -2.5
Johnny Monell 29 pre-arb 27-0.5 0.2 -1.7
Alex Torres 27 arb 39-0.7 0.5 -2.7
Anthony Recker 31 arb 32-0.9 0.5 -3.4

Key additions (new vs 2014)

PlayerfWAR
Matt Harvey3.9
Noah Syndergaard3.2
Yoenis Cespedes2.6
Michael Conforto1.9
Kevin Plawecki1.1
Sean Gilmartin0.9

Key subtractions (gone from 2014)

Player2014 fWAR
Matthew den Dekker1.0
Ike Davis0.4
Daisuke Matsuzaka0.3
Dana Eveland0.2
Vic Black0.1
Chris Young-0.0

Current & Historical Payroll

2015 payroll
$118.8M
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
David Wright3213.075$20.0MFREE AGENT
Curtis Granderson3414.077$16.0MFREE AGENT
Bartolo Colon4216.061$11.0MFREE AGENT
Michael Cuddyer3611.157$8.5MFREE AGENT
Juan Uribe3613.089$2.4MFREE AGENT
Eric O'Flaherty307.062$2.1MFREE AGENT
John Mayberry Jr.316.000$1.4MFREE AGENT
Kelly Johnson339.127$662kFREE AGENT
Tim Stauffer336.143$611kFREE AGENT
Eric Young Jr.306.000$340kFREE AGENT
Steven Matz2411.099$275kFREE AGENT

Arbitration-eligible (11)

PlayerAgeSvc2015201620172018201920202021
Daniel Murphy305.109$8.0MFREE AGENT
Jonathon Niese285.107$7.0MFREE AGENT
Dillon Gee294.028$5.3MARB 3FREE AGENT
Lucas Duda293.137$4.2MARB 2ARB 3FREE AGENT
Tyler Clippard305.148$3.8MFREE AGENT
Yoenis Cespedes293.000$3.8MARB 2ARB 3FREE AGENT
Bobby Parnell305.132$3.7MFREE AGENT
Jerry Blevins315.081$2.4MFREE AGENT
Rubén Tejada253.171$1.9MARB 2ARB 3FREE AGENT
Addison Reed263.027$1.5MARB 2ARB 3FREE AGENT
Buddy Carlyle375.002$725kFREE AGENT

Pre-arbitration (27)

PlayerAgeSvc2015201620172018201920202021
Jenrry Mejia252.140$2.6MARB 1ARB 2ARB 3FREE AGENT
Matt Harvey262.072$614kARB 1ARB 2ARB 3FREE AGENT
Carlos Torres322.114$582kARB 1ARB 2ARB 3FREE AGENT
Jacob deGrom270.139$557kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Juan Lagares261.160$529kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Travis d'Arnaud261.044$525kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jeurys Familia252.029$524kARB 1ARB 2ARB 3FREE AGENT
Alex Torres271.141$523kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Anthony Recker312.128$518kARB 1ARB 2ARB 3FREE AGENT
Wilmer Flores231.003$514kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Eric Campbell280.142$511kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Rafael Montero240.051$511kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Erik Goeddel261.126$509kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sean Gilmartin250.000$507kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Hansel Robles240.000$466kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Kirk Nieuwenhuis271.123$454kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Noah Syndergaard220.000$410kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Kevin Plawecki240.000$408kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jack Leathersich240.000$402kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Darrell Ceciliani250.127$383kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Dilson Herrera210.031$241kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Michael Conforto220.000$202kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Johnny Monell290.101$202kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Logan Verrett250.000$168kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Danny Muno26–$119k
Dario Alvarez260.151$89kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Akeel Morris220.000$6kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

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