RRosternomics
𝕏

Marlins MIA

‹ ›

GM: Kim Ng

Overview

REBUILD ↘ cooling
cheap & losing · year 2 in this regime · payroll 0.7× league · TAB -0.9
-0.9TAB — talent above budget18th/30
+6.6WAB — realized wins (TAB + luck)8th/30
6.0depth — 2+ WAR regulars16th/30
-5.9dead WAR — sub-replacement drag20th/30
52%dead money %25th/30
0.519win %12th/30
29.0roster fWAR17th/30
+8surplus $M (value vs cost)10th/30
$107Mpayroll $M22nd/30

2023: made playoffs · 84–78. Ranks are vs the 30 teams that season.

Roster

CFJazz Chisholm Jr. 95GJonathan Davis 31GGarrett Hampson 26G
LFBryan De La Cruz 142GJon Berti 18GAvisaíl García 10G
RFJesús Sánchez 106GJorge Soler 32GAvisaíl García 23G
SSJoey Wendle 107GJon Berti 64GGarrett Hampson 30G
2BLuis Arraez 134GXavier Edwards 24GJon Berti 15G
3BJake Burger 102GJean Segura 84GJon Berti 41G
1BYuli Gurriel 93GJosh Bell 60GLuis Arraez 12G
STARTERSJesús Luzardo 3.8WARBraxton Garrett 3.1WARSandy Alcantara 3.0WAREury Pérez 1.5WAREdward Cabrera 1.1WAR
CNick Fortes 104GJacob Stallings 82G
DHJorge Soler 102GJosh Bell 89GJake Burger 29G
BULLPEN★ David Robertson 18svTanner Scott 24hMatt Moore 22hAndrew Nardi 17hHuascar Brazobán 13hSteven Okert 12hA.J. Puk 2hGeorge Soriano 0h
CNick Fortes 104 · Jacob Stallings 82
1BYuli Gurriel 93 · Josh Bell 60 · Luis Arraez 12
2BLuis Arraez 134 · Xavier Edwards 24 · Jon Berti 15
3BJake Burger 102 · Jean Segura 84 · Jon Berti 41
SSJoey Wendle 107 · Jon Berti 64 · Garrett Hampson 30
LFBryan De La Cruz 142 · Jon Berti 18 · Avisaíl García 10
CFJazz Chisholm Jr. 95 · Jonathan Davis 31 · Garrett Hampson 26
RFJesús Sánchez 106 · Jorge Soler 32 · Avisaíl García 23
DHJorge Soler 102 · Josh Bell 89 · Jake Burger 29
SPJesús Luzardo 3.8 · Braxton Garrett 3.1 · Sandy Alcantara 3.0 · Eury Pérez 1.5 · Edward Cabrera 1.1
BP★ David Robertson 18 · Tanner Scott 24 · Matt Moore 22 · Andrew Nardi 17 · Huascar Brazobán 13 · Steven Okert 12 · A.J. Puk 2 · George Soriano 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.

2023 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Jesús Luzardo 25 arb 323.8 2.5 +12.8
Luis Arraez 26 arb 1473.4 6.1 +7.3
Braxton Garrett 25 arb 313.1 0.7 +11.4
Sandy Alcantara 27 FA-elig 283.0 6.3 +5.7
Tanner Scott 28 FA-elig 742.8 2.8 +8.5
Jon Berti 33 arb 1332.2 2.1 +6.6
Jazz Chisholm Jr. 25 arb 971.9 0.7 +6.9
Jorge Soler 31 FA-elig 1371.9 15.0 -7.6
Eury Pérez 20 – 191.5 0.4 +5.5
Jesús Sánchez 25 arb 1251.4 0.7 +4.8
Edward Cabrera 25 pre-arb 221.1 0.7 +3.7
Jake Burger↔ CHW 27 pre-arb 531.1 0.2 +4.1
Dylan Floro↔ MIN 32 FA-elig 431.0 2.9 +1.0
A.J. Puk 28 arb 580.9 0.7 +2.9
Andrew Nardi 24 pre-arb 630.9 0.7 +2.8
Josh Bell↔ CLE 30 FA-elig 530.7 5.8 -3.0
Nick Fortes 26 pre-arb 1080.6 0.7 +1.7
Garrett Hampson 28 arb 980.6 0.6 +1.8
Steven Okert 31 pre-arb 640.5 0.7 +1.4
Huascar Brazobán 33 pre-arb 500.5 0.7 +1.3
David Robertson↔ NYM 38 FA-elig 220.4 3.5 -1.8
JT Chargois 32 FA-elig 460.4 0.8 +0.8
Trevor Rogers 25 arb 40.3 0.8 +0.3
Garrett Cooper↔ SDP 32 FA-elig 820.2 2.6 -1.8
George Soriano 24 – 260.2 0.4 +0.3
Matt Barnes 33 FA-elig 240.1 8.4 -7.8
Xavier Edwards 23 – 300.1 0.2 +0.3
Matt Moore↔ ANA 34 FA-elig 40.1 0.6 -0.2
Jonathan Davis 31 pre-arb 340.1 0.5 -0.2
Enmanuel De Jesus 26 – 20.0 0.0 -0.0
Jeff Lindgren 26 – 3-0.0 0.1 -0.1
Jacob Amaya 24 – 4-0.0 0.0 -0.1
Robert Garcia↔ WSN 27 – 1-0.0 0.0 -0.1
Chi Chi González 31 – 3-0.0 0.0 -0.2
Geoff Hartlieb 29 pre-arb 2-0.0 0.0 -0.2
Jorge López↔ BAL 30 FA-elig 12-0.1 0.7 -0.9
Archie Bradley 30 FA-elig 4-0.1 0.1 -0.4
Johan Quezada 28 pre-arb 1-0.1 0.0 -0.4
Dane Myers 27 – 22-0.1 0.2 -0.6
Sean Nolin 33 pre-arb 1-0.1 0.0 -0.5
Daniel Castano 28 pre-arb 2-0.1 0.0 -0.5
Peyton Burdick 26 pre-arb 14-0.2 0.1 -0.7
Ryan Weathers↔ SDP 23 pre-arb 3-0.2 0.1 -0.9
Bryan Hoeing 26 pre-arb 33-0.3 0.6 -1.8
Devin Smeltzer 27 pre-arb 9-0.3 0.1 -1.4
Bryan De La Cruz 26 pre-arb 153-0.3 0.7 -2.1
Yuli Gurriel 39 FA-elig 108-0.4 1.2 -2.7
Avisaíl García 32 FA-elig 37-0.4 12.0 -13.7
Jacob Stallings 33 FA-elig 89-0.4 3.4 -5.1
Johnny Cueto 37 FA-elig 13-0.7 6.0 -8.6
Joey Wendle 33 FA-elig 112-0.8 6.0 -9.0
Jean Segura 33 FA-elig 85-1.2 6.5 -11.4

Key additions (new vs 2022)

PlayerfWAR
Luis Arraez3.4
Eury Pérez1.5
Jake Burger1.1
A.J. Puk0.9
Josh Bell0.7
Garrett Hampson0.6

Key subtractions (gone from 2022)

Player2022 fWAR
Pablo López3.0
Anthony Bass1.4
Miguel Rojas1.1
Charles Leblanc0.6
Richard Bleier0.5
Zach Pop0.3

Current & Historical Payroll

2023 payroll
$107.0M
2024 guaranteed
$9.3M

What the front office was committed to as of 2023, 2023–2029. Guaranteed $ are contract commitments signed by 2023; 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 (13)

PlayerAgeSvc2023202420252026202720282029
Jorge Soler317.143$15.0MFREE AGENT
Avisaíl García329.167$12.0MFREE AGENT
Matt Barnes337.110$8.4MFREE AGENT
Jean Segura3311.000$6.5MFREE AGENT
Sandy Alcantara274.100$6.3M$9.3M$17.3M$17.3M$21.0MCLUBFREE AGENT
Johnny Cueto3714.143$6.0MFREE AGENT
Josh Bell306.053$5.8MFREE AGENT
David Robertson3813.119$3.5MFREE AGENT
Dylan Floro327.000$2.9MFREE AGENT
Yuli Gurriel397.000$1.2MFREE AGENT
Matt Moore3410.000$604kFREE AGENT
Archie Bradley307.112$70kFREE AGENT
Chi Chi González318.000$43kFREE AGENT

Arbitration-eligible (9)

PlayerAgeSvc2023202420252026202720282029
Luis Arraez263.121$6.1MARB 2ARB 3FREE AGENT
Joey Wendle335.088$6.0MFREE AGENT
Jacob Stallings334.149$3.4MARB 3FREE AGENT
Tanner Scott284.059$2.8MARB 3FREE AGENT
Garrett Cooper325.053$2.6MFREE AGENT
Jon Berti333.168$2.1MARB 2ARB 3FREE AGENT
JT Chargois323.101$850kARB 2ARB 3FREE AGENT
Jorge López304.102$693kARB 3FREE AGENT
Garrett Hampson284.030$577kARB 3FREE AGENT

Pre-arbitration (30)

PlayerAgeSvc2023202420252026202720282029
Jesús Luzardo252.165$2.5MARB 1ARB 2ARB 3FREE AGENT
Trevor Rogers252.093$752kARB 1ARB 2ARB 3FREE AGENT
Jazz Chisholm Jr.252.075$750kARB 1ARB 2ARB 3FREE AGENT
Steven Okert312.109$739kARB 1ARB 2ARB 3FREE AGENT
Jesús Sánchez251.118$738kPre-ArbARB 1ARB 2ARB 3FREE AGENT
A.J. Puk282.124$736kARB 1ARB 2ARB 3FREE AGENT
Bryan De La Cruz262.000$736kARB 1ARB 2ARB 3FREE AGENT
Braxton Garrett250.168$732kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Edward Cabrera250.168$731kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Nick Fortes260.149$730kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Huascar Brazobán330.074$724kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Andrew Nardi240.053$723kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Bryan Hoeing260.027$554kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jonathan Davis312.075$507kARB 1ARB 2ARB 3FREE AGENT
Eury Pérez200.000$434kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
George Soriano240.000$418kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Xavier Edwards230.000$190kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jake Burger270.127$172kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Dane Myers270.000$151kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ryan Weathers231.001$146kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Devin Smeltzer272.098$118kARB 1ARB 2ARB 3FREE AGENT
Peyton Burdick260.047$77kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jeff Lindgren260.000$54kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jacob Amaya240.000$35kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Geoff Hartlieb291.130$31kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Daniel Castano281.134$27kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Johan Quezada280.029$23kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Enmanuel De Jesus26–$19k
Robert Garcia270.000$9kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sean Nolin331.154$4kPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Marlins 2023; 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.
const FONT={family:"'Roboto Mono', monospace",size:12}; const ORBIT = [[1993, 0.647, -10.58], [1994, 0.676, -4.63], [1995, 0.725, 2.75], [1996, 0.904, 4.83], [1997, 1.273, 0.0], [1998, 0.432, -12.7], [1999, 0.405, -3.55], [2000, 0.388, 4.95], [2001, 0.443, 9.98], [2002, 0.649, 2.52], [2003, 0.766, 13.62], [2004, 0.721, 4.46], [2005, 0.817, 7.6], [2006, 0.207, 17.02], [2007, 0.433, 4.85], [2008, 0.31, 13.82], [2009, 0.443, 9.25], [2010, 0.613, 3.69], [2011, 0.708, -1.02], [2012, 1.146, -11.81], [2013, 0.347, -3.2], [2014, 0.407, 9.68], [2015, 0.557, 0.31], [2016, 0.6, 8.22], [2017, 0.839, -1.27], [2018, 0.632, -14.09], [2019, 0.571, -18.95], [2021, 0.399, 1.3], [2022, 0.557, -3.9], [2023, 0.697, -0.89], [2024, 0.463, -9.31], [2025, 0.309, 5.82], [2026, 0.37, 14.0]], TEAMCOL = '#00A3E0'; function contrastColor(hex,dark){let r=parseInt(hex.slice(1,3),16)/255,g=parseInt(hex.slice(3,5),16)/255,b=parseInt(hex.slice(5,7),16)/255; const mx=Math.max(r,g,b),mn=Math.min(r,g,b);let h=0,s=0,l=(mx+mn)/2; if(mx!==mn){const d=mx-mn;s=l>0.5?d/(2-mx-mn):d/(mx+mn);h=mx===r?(g-b)/d+(g1)t-=1;if(t<1/6)return p+(q-p)*6*t;if(t<0.5)return q;if(t<2/3)return p+(q-p)*(2/3-t)*6;return p;} let R,G,B;if(s===0){R=G=B=L;}else{const q=L<0.5?L*(1+s):L+s-L*s,p=2*L-q;R=h2(p,q,h+1/3);G=h2(p,q,h);B=h2(p,q,h-1/3);} const x=v=>('0'+Math.round(v*255).toString(16)).slice(-2);return '#'+x(R)+x(G)+x(B);} const CURRENT_YEAR = 2023; function drawOrbit(){ const orbEl=document.getElementById('orbit'); if(!ORBIT || ORBIT.length<2){ orbEl.innerHTML='

Not enough history to chart.

'; return; } const f=+document.getElementById('yfrom').value, t=+document.getElementById('yto').value, w=+document.getElementById('win').value; document.getElementById('yflab').textContent=f; document.getElementById('ytlab').textContent=t; document.getElementById('winlab').textContent = w===1?'raw':(w+'-yr'); const dark=document.documentElement.getAttribute('data-theme')==='dark'; const ink=dark?'#cdd4dc':'#1d2630', grid=dark?'#2c313a':'#d6dbe2', refc=dark?'#5a636d':'#9aa3ad', dirc=dark?'#ffffff':'#1d2630'; const col=contrastColor(TEAMCOL,dark); function sm(a,w){const h=(w-1)/2,o=[];for(let i=0;id[0]>=f&&d[0]<=t); if(raw.length<2){ Plotly.purge('orbit'); orbEl.innerHTML='

Pick a wider year range.

'; return; } const s=sm(raw,w),n=s.length,X=s.map(d=>Math.round(d[1]*100)/100),Y=s.map(d=>Math.round(d[2]*10)/10),yr=s.map(d=>d[0]); let xa=Math.min(1,...X),xb=Math.max(1,...X),ya=Math.min(0,...Y),yb=Math.max(0,...Y); const px=(xb-xa)*.12+.04,py=(yb-ya)*.12+1.5;xa-=px;xb+=px;ya-=py;yb+=py; const k=Math.max(0,n-3), ann=[]; [['WINDOW','#15b6a0',xa<1&&yb>0,xa,yb,'left','top'],['CONTEND','#2f7ed8',xb>1&&yb>0,xb,yb,'right','top'], ['FORCED-SPEND','#ec5a3c',xb>1&&ya<0,xb,ya,'right','bottom'],['REBUILD','#f0a91c',xa<1&&ya<0,xa,ya,'left','bottom']].forEach(q=>{ if(q[2]) ann.push({x:q[3],y:q[4],xref:'x',yref:'y',text:q[0],showarrow:false,xanchor:q[5],yanchor:q[6],font:{size:10,color:q[1]},opacity:.85});}); ann.push({x:X[n-1],y:Y[n-1],ax:X[n-1]-0.5*(X[n-1]-X[k]),ay:Y[n-1]-0.5*(Y[n-1]-Y[k]),xref:'x',yref:'y',axref:'x',ayref:'y',showarrow:true,arrowhead:2,arrowsize:1.3,arrowwidth:1.7,arrowcolor:dirc,text:''}); Plotly.newPlot('orbit',[{x:X,y:Y,mode:'lines+markers',line:{color:col,width:2.6,shape:'spline',smoothing:0.7}, marker:{color:col,size:s.map((d,i)=>5+7*(i/Math.max(1,n-1))),line:{color:dark?'#1b1e23':'#fff',width:0.6}}, text:yr,hovertemplate:'%{text}
payroll %{x:.2f}× lg · TAB %{y:+.1f}
'+(w===1?'single season (raw)':w+'-yr smoothed avg')+''}], {margin:{l:50,r:14,t:10,b:40},paper_bgcolor:'rgba(0,0,0,0)',plot_bgcolor:'rgba(0,0,0,0)',font:FONT, xaxis:{title:{text:'relative payroll (× lg avg)',font:{size:11}},range:[xa,xb],gridcolor:grid,zeroline:false}, yaxis:{title:{text:'TAB (talent above budget)',font:{size:11}},range:[ya,yb],gridcolor:grid,zeroline:false}, shapes:[{type:'line',x0:1,x1:1,y0:ya,y1:yb,line:{color:refc,width:1,dash:'dot'}},{type:'line',x0:xa,x1:xb,y0:0,y1:0,line:{color:refc,width:1,dash:'dot'}}], annotations:ann},{displayModeBar:false,responsive:true}); } (function initOrbitSliders(){ const yf=document.getElementById('yfrom'), yt=document.getElementById('yto'); if(ORBIT && ORBIT.length>=2){ const yrs=ORBIT.map(d=>d[0]), y0=Math.min(...yrs), y1=Math.max(...yrs); yf.min=y0; yf.max=y1; yf.value=y0; yt.min=y0; yt.max=y1; yt.value=Math.max(y0, Math.min(CURRENT_YEAR, y1)); yf.addEventListener('input',()=>{ if(+yf.value>+yt.value) yt.value=yf.value; drawOrbit(); }); yt.addEventListener('input',()=>{ if(+yt.value<+yf.value) yf.value=yt.value; drawOrbit(); }); document.getElementById('win').addEventListener('input',drawOrbit); } // only paint on load if the orbit pane is the visible default (else it'd draw into a 0-width hidden box) const _op=document.querySelector('.gpane[data-g="orbit"]'); if(!_op || _op.style.display!=='none') drawOrbit(); })(); new MutationObserver(()=>{ const p=document.querySelector('.gpane[data-g="orbit"]'); if(!p || p.style.display!=='none') drawOrbit(); }).observe(document.documentElement,{attributes:true,attributeFilter:['data-theme']}); // ---- roster depth curve (WAR by roster slot vs league-average-by-slot) ---- const WARDIST = {"cats": ["SP", "IF", "SP", "SP", "RP", "IF", "OF", "OF", "SP", "OF", "SP", "IF", "RP", "RP", "RP", "IF", "C", "OF", "RP", "RP", "RP", "RP", "SP", "IF", "RP", "RP", "IF", "RP", "OF", "RP", "RP", "IF", "RP", "RP", "RP", "RP", "RP", "RP", "OF", "RP"], "league": [5.14, 4.02, 3.31, 2.97, 2.63, 2.29, 2.1, 1.88, 1.66, 1.45, 1.29, 1.19, 1.09, 0.97, 0.88, 0.8, 0.72, 0.66, 0.59, 0.52, 0.42, 0.36, 0.32, 0.28, 0.23, 0.19, 0.17, 0.13, 0.1, 0.08, 0.05, 0.03, 0.01, 0.0, -0.02, -0.04, -0.06, -0.07, -0.09, -0.12], "names": ["Jes\u00fas Luzardo", "Luis Arraez", "Braxton Garrett", "Sandy Alcantara", "Tanner Scott", "Jon Berti", "Jazz Chisholm Jr.", "Jorge Soler", "Eury P\u00e9rez", "Jes\u00fas S\u00e1nchez", "Edward Cabrera", "Jake Burger", "Dylan Floro", "A.J. Puk", "Andrew Nardi", "Josh Bell", "Nick Fortes", "Garrett Hampson", "Steven Okert", "Huascar Brazob\u00e1n", "David Robertson", "JT Chargois", "Trevor Rogers", "Garrett Cooper", "George Soriano", "Matt Barnes", "Xavier Edwards", "Matt Moore", "Jonathan Davis", "Enmanuel De Jesus", "Jeff Lindgren", "Jacob Amaya", "Robert Garcia", "Chi Chi Gonz\u00e1lez", "Geoff Hartlieb", "Jorge L\u00f3pez", "Archie Bradley", "Johan Quezada", "Dane Myers", "Sean Nolin"], "ranks": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], "team": [3.85, 3.38, 3.06, 3.03, 2.85, 2.2, 1.93, 1.87, 1.51, 1.4, 1.13, 1.07, 0.98, 0.93, 0.89, 0.71, 0.61, 0.6, 0.53, 0.5, 0.44, 0.41, 0.28, 0.2, 0.18, 0.14, 0.11, 0.1, 0.07, 0.0, -0.01, -0.02, -0.02, -0.04, -0.04, -0.06, -0.09, -0.09, -0.12, -0.12]}; let WD_MODE='raw', WC_MODE='team'; const POSCOL={SP:'#2f7ed8',RP:'#6fb1ec',IF:'#f0a91c',OF:'#15b6a0',C:'#ec5a3c'}; const POSLAB={SP:'Starting P',RP:'Bullpen',IF:'Infield',OF:'Outfield',C:'Catcher'}; function buildPosLegend(){ const el=document.getElementById('poslegend'); if(!el) return; el.style.display=WC_MODE==='pos'?'flex':'none'; el.innerHTML=['SP','RP','C','IF','OF'].map(k=>''+POSLAB[k]+'').join(''); } function drawWarDist(){ if(!WARDIST) return; const dark=document.documentElement.getAttribute('data-theme')==='dark'; const col=contrastColor(TEAMCOL,dark), line=dark?'#e8eef0':'#111', grid=dark?'#2c313a':'#d6dbe2', ink=dark?'#cdd4dc':'#1d2630'; let team=WARDIST.team.slice(), league=WARDIST.league.slice(); if(WD_MODE==='prop'){ const ts=team.reduce((a,b)=>a+Math.max(b,0),0)||1, ls=league.reduce((a,b)=>a+Math.max(b,0),0)||1; team=team.map(v=>v/ts); league=league.map(v=>v/ls); } const fmt=WD_MODE==='prop'?'.1%':'.1f'; const names=WARDIST.names||[], cats=WARDIST.cats||[]; const cd=WARDIST.ranks.map((_,i)=>[names[i]||'(empty slot)', WARDIST.team[i], POSLAB[cats[i]]||'']); const barcol=WC_MODE==='pos'?cats.map(c=>POSCOL[c]||'#9aa3ad'):col; const posbit=WC_MODE==='pos'?' · %{customdata[2]}':''; const htmpl=WD_MODE==='prop' ? '%{customdata[0]}'+posbit+'
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:'MIA',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);});