RRosternomics
𝕏

Mets NYM

‹ ›

President of baseball ops: David Stearns

Overview

FORCED-SPEND ↘ cooling
expensive & losing · year 2 in this regime · payroll 1.65× league · TAB -0.9
-0.9TAB — talent above budget19th/30
+0.8WAB — realized wins (TAB + luck)17th/30
7.0depth — 2+ WAR regulars13th/30
-3.8dead WAR — sub-replacement drag9th/30
24%dead money %6th/30
0.549win %8th/30
39.4roster fWAR12th/30
-102surplus $M (value vs cost)27th/30
$266Mpayroll $M2nd/30

2024: made playoffs · 89–73. Ranks are vs the 30 teams that season.

Roster

CFHarrison Bader 140GTyrone Taylor 44GBrandon Nimmo 28G
LFBrandon Nimmo 142GJesse Winker 77GTyrone Taylor 21G
RFStarling Marte 85GTyrone Taylor 70GDJ Stewart 26G
SSFrancisco Lindor 151GLuisangel Acuña 12GJose Iglesias 6G
2BJeff McNeil 110GJose Iglesias 61GEddy Alvarez 11G
3BMark Vientos 108GBrett Baty 47GJose Iglesias 36G
1BPete Alonso 161GMark Vientos 4GDJ Stewart 1G
STARTERSSean Manaea 2.8WARLuis Severino 2.1WARDavid Peterson 1.9WARTylor Megill 1.4WARJose Quintana 1.1WAR
CFrancisco Alvarez 96GLuis Torrens 44GOmar Narváez 28G
DHJ.D. Martinez 117GJesse Winker 44GDJ Stewart 22G
BULLPEN★ Edwin Díaz 20svPhil Maton 18hRyne Stanek 17hAdam Ottavino 15hReed Garrett 14hJake Diekman 8hDanny Young 7hHuascar Brazobán 5h
CFrancisco Alvarez 96 · Luis Torrens 44 · Omar Narváez 28
1BPete Alonso 161 · Mark Vientos 4 · DJ Stewart 1
2BJeff McNeil 110 · Jose Iglesias 61 · Eddy Alvarez 11
3BMark Vientos 108 · Brett Baty 47 · Jose Iglesias 36
SSFrancisco Lindor 151 · Luisangel Acuña 12 · Jose Iglesias 6
LFBrandon Nimmo 142 · Jesse Winker 77 · Tyrone Taylor 21
CFHarrison Bader 140 · Tyrone Taylor 44 · Brandon Nimmo 28
RFStarling Marte 85 · Tyrone Taylor 70 · DJ Stewart 26
DHJ.D. Martinez 117 · Jesse Winker 44 · DJ Stewart 22
SPSean Manaea 2.8 · Luis Severino 2.1 · David Peterson 1.9 · Tylor Megill 1.4 · Jose Quintana 1.1
BP★ Edwin Díaz 20 · Phil Maton 18 · Ryne Stanek 17 · Adam Ottavino 15 · Reed Garrett 14 · Jake Diekman 8 · Danny Young 7 · Huascar Brazobán 5

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.

2024 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Francisco Lindor 30 FA-elig 1527.7 34.1 -2.1
Mark Vientos 24 pre-arb 1112.9 0.7 +11.3
Sean Manaea 32 FA-elig 322.8 14.5 -2.9
Brandon Nimmo 31 FA-elig 1512.8 20.5 -9.0
Jose Iglesias 34 FA-elig 852.5 1.0 +9.6
Luis Severino 30 FA-elig 312.1 13.0 -4.2
Pete Alonso 29 arb 1622.1 20.5 -11.9
David Peterson 28 arb 211.9 2.1 +5.7
Francisco Alvarez 22 pre-arb 1001.9 0.8 +7.0
Tylor Megill 28 arb 161.4 0.8 +5.1
Jeff McNeil 32 FA-elig 1291.3 10.2 -5.0
Harrison Bader 30 FA-elig 1431.2 10.5 -5.4
Edwin Díaz 30 FA-elig 551.1 21.2 -16.8
Jose Quintana 35 FA-elig 311.1 13.0 -8.6
Tyrone Taylor 30 arb 1301.0 2.0 +2.2
José Buttó 26 pre-arb 301.0 0.7 +3.3
Dedniel Núñez 28 pre-arb 250.9 0.7 +3.2
Reed Garrett 31 arb 530.9 0.7 +3.0
Luis Torrens 28 arb 480.8 0.8 +2.5
Luisangel Acuña 22 – 140.7 0.1 +2.9
Phil Maton↔ TBR 31 FA-elig 310.7 2.7 +0.1
Starling Marte 35 FA-elig 940.6 20.8 -18.3
J.D. Martinez 36 FA-elig 1200.6 12.0 -9.5
Brett Baty 24 pre-arb 500.5 0.8 +1.2
Adam Ottavino 38 FA-elig 600.5 4.5 -2.6
Christian Scott 25 pre-arb 90.4 0.7 +1.1
Tomás Nido↔ CHC 30 FA-elig 320.4 1.4 +0.4
Sean Reid-Foley 28 pre-arb 230.4 0.8 +0.9
Brooks Raley 36 FA-elig 80.3 6.5 -5.2
Drew Smith 30 FA-elig 190.2 2.2 -1.3
Danny Young 30 pre-arb 420.2 0.7 -0.1
Paul Blackburn↔ OAK 30 FA-elig 50.1 1.2 -0.6
Kodai Senga 31 pre-arb 10.1 15.0 -14.4
Yohan Ramírez↔ BAL 29 – 50.1 0.0 +0.2
Jesse Winker↔ WSN 30 FA-elig 440.1 0.6 -0.4
Josh Walker 29 pre-arb 100.0 0.7 -0.6
Tyler Jay↔ MIL 30 – 30.0 0.0 +0.0
Eddy Alvarez 34 pre-arb 130.0 0.1 -0.1
Joe Hudson 33 FA-elig 10.0 0.7 -0.7
Matt Festa↔ TEX 31 – 1-0.0 0.0 -0.0
Cole Sulser↔ TBR 34 – 4-0.0 0.1 -0.1
Pablo Reyes↔ BOS 30 pre-arb 1-0.0 0.0 -0.1
Huascar Brazobán↔ MIA 34 pre-arb 19-0.0 0.4 -0.4
Joey Lucchesi 31 FA-elig 2-0.0 1.6 -1.8
Alex Young↔ CIN 30 arb 14-0.0 1.0 -1.1
Ryne Stanek↔ SEA 32 FA-elig 17-0.1 1.1 -1.3
Jorge López↔ CHC 31 FA-elig 28-0.1 1.1 -1.4
Julio Teheran 33 – 1-0.1 0.1 -0.5
Ben Gamel↔ HOU 32 – 18-0.1 0.2 -0.5
Grant Hartwig 26 pre-arb 4-0.1 0.7 -1.1
Zack Short↔ ATL 29 arb 10-0.1 0.2 -0.7
Eric Orze 26 – 2-0.1 0.0 -0.6
Adrian Houser 31 FA-elig 23-0.1 5.0 -5.6
Michael Tonkin↔ MIN 34 FA-elig 5-0.2 0.1 -0.7
DJ Stewart 30 FA-elig 74-0.2 1.4 -2.3
Joey Wendle 34 FA-elig 18-0.2 2.0 -3.0
Ty Adcock 27 pre-arb 3-0.4 0.7 -2.5
Jake Diekman 37 FA-elig 43-0.8 4.0 -7.4
Omar Narváez 32 FA-elig 28-1.0 7.0 -11.2

Key additions (new vs 2023)

PlayerfWAR
Sean Manaea2.8
Jose Iglesias2.5
Luis Severino2.1
Harrison Bader1.2
Edwin Díaz1.1
Tyrone Taylor1.0

Key subtractions (gone from 2023)

Player2023 fWAR
Tommy Pham1.4
Mark Canha0.8
David Robertson0.8
Tim Locastro0.4
Trevor Gott0.4
Rafael Ortega0.3

Current & Historical Payroll

2024 payroll
$266.3M
2025 guaranteed
$85.4M

What the front office was committed to as of 2024, 2024–2030. Guaranteed $ are contract commitments signed by 2024; 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 (23)

PlayerAgeSvc2024202520262027202820292030
Francisco Lindor308.113$34.1M$34.1M$32.5M$32.5M$32.5M$32.5M$32.5M
Edwin Díaz307.121$21.2MFREE AGENT
Starling Marte3510.162$20.8MFREE AGENT
Brandon Nimmo317.042$20.5M$20.5M$15.2M$20.5M$20.5M$20.5M$20.5M
Kodai Senga311.000$15.0M$15.0M$15.0M$15.0MARB 3FREE AGENT
Sean Manaea327.157$14.5MFREE AGENT
Luis Severino307.170$13.0MFREE AGENT
Jose Quintana3511.133$13.0MFREE AGENT
J.D. Martinez3612.036$12.0MFREE AGENT
Harrison Bader306.030$10.5MFREE AGENT
Jeff McNeil325.069$10.2M$15.8M$10.0M$15.8MCLUBFREE AGENT
Omar Narváez328.000$7.0MFREE AGENT
Adrian Houser319.000$5.0MFREE AGENT
Adam Ottavino3812.087$4.5MFREE AGENT
Jake Diekman3712.000$4.0MFREE AGENT
Phil Maton316.047$2.7MFREE AGENT
Joey Wendle348.000$2.0MFREE AGENT
Tomás Nido307.000$1.4MFREE AGENT
Ryne Stanek326.038$1.1MFREE AGENT
Jose Iglesias3410.036$984kFREE AGENT
Jesse Winker306.080$607kFREE AGENT
Ben Gamel326.056$165kFREE AGENT
Julio Teheran3310.062$121kFREE AGENT

Arbitration-eligible (13)

PlayerAgeSvc2024202520262027202820292030
Pete Alonso295.000$20.5MFREE AGENT
Brooks Raley364.045$6.5MCLUBARB 3FREE AGENT
Drew Smith305.034$2.2MFREE AGENT
David Peterson283.089$2.1MARB 2ARB 3FREE AGENT
Tyrone Taylor303.093$2.0MARB 2ARB 3FREE AGENT
Joey Lucchesi314.112$1.6MARB 3FREE AGENT
Paul Blackburn304.018$1.2MARB 3FREE AGENT
Jorge López315.102$1.1MFREE AGENT
Alex Young303.143$955kARB 2ARB 3FREE AGENT
Luis Torrens283.155$787kARB 2ARB 3FREE AGENT
Michael Tonkin343.074$88kARB 2ARB 3FREE AGENT
Cole Sulser343.157$64kARB 2ARB 3FREE AGENT
Yohan Ramírez293.001$38kARB 2ARB 3FREE AGENT

Pre-arbitration (23)

PlayerAgeSvc2024202520262027202820292030
DJ Stewart302.168$1.4MARB 1ARB 2ARB 3FREE AGENT
Sean Reid-Foley282.133$773kARB 1ARB 2ARB 3FREE AGENT
Tylor Megill282.073$766kARB 1ARB 2ARB 3FREE AGENT
Francisco Alvarez221.006$762kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Brett Baty241.022$750kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Grant Hartwig260.091$740kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ty Adcock271.000$740kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Josh Walker291.000$740kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Mark Vientos240.132$740kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Joe Hudson330.131$740kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Danny Young300.050$740kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Reed Garrett310.143$740kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
José Buttó260.046$740kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Dedniel Núñez280.074$740kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Christian Scott250.000$740kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Huascar Brazobán341.074$367kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Zack Short291.086$178kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Eddy Alvarez340.146$80kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Luisangel Acuña220.000$60kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Eric Orze260.000$48kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Matt Festa311.119$10kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tyler Jay30–$8k
Pablo Reyes302.043$6kARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Mets 2024; 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);});