RRosternomics
𝕏

Diamondbacks ARI

‹ ›

GM: Mike Hazen

Overview

WINDOW ↗ rising
cheap & winning · year 1 in this regime · payroll 0.78× league · TAB +13.3
+13.3TAB — talent above budget4th/30
+14.1WAB — realized wins (TAB + luck)4th/30
10.0depth — 2+ WAR regulars4th/30
-3.2dead WAR — sub-replacement drag5th/30
23%dead money %6th/30
0.574win %5th/30
44.7roster fWAR6th/30
+48surplus $M (value vs cost)3rd/30
$102Mpayroll $M22nd/30

2017: made playoffs · 93–69. Ranks are vs the 30 teams that season.

Roster

CFAJ Pollock 109GRey Fuentes 41GGrégor Blanco 35G
LFDavid Peralta 50GGrégor Blanco 44GYasmany Tomás 42G
RFJ.D. Martinez 113GDavid Peralta 78GChris Owings 25G
SSAdam Rosales 65GKetel Marte 64GChris Owings 54G
2BBrandon Drury 114GDaniel Descalso 45GChris Owings 22G
3BJake Lamb 144GAdam Rosales 15GDaniel Descalso 15G
1BPaul Goldschmidt 151GDaniel Descalso 19GAdam Rosales 6G
STARTERSZack Greinke 5.3WARRobbie Ray 3.7WARZack Godley 3.1WARPatrick Corbin 3.1WARTaijuan Walker 2.8WAR
CChris Iannetta 78GJeff Mathis 58GChris Herrmann 45G
DHJ.D. Martinez 5GBrandon Drury 3GDavid Peralta 2G
BULLPEN★ Fernando Rodney 39svArchie Bradley 25hDavid Hernandez 18hAndrew Chafin 17hJorge De La Rosa 17hJ.J. Hoover 10hT.J. McFarland 2hJake Barrett 2h
CChris Iannetta 78 · Jeff Mathis 58 · Chris Herrmann 45
1BPaul Goldschmidt 151 · Daniel Descalso 19 · Adam Rosales 6
2BBrandon Drury 114 · Daniel Descalso 45 · Chris Owings 22
3BJake Lamb 144 · Adam Rosales 15 · Daniel Descalso 15
SSAdam Rosales 65 · Ketel Marte 64 · Chris Owings 54
LFDavid Peralta 50 · Grégor Blanco 44 · Yasmany Tomás 42
CFAJ Pollock 109 · Rey Fuentes 41 · Grégor Blanco 35
RFJ.D. Martinez 113 · David Peralta 78 · Chris Owings 25
DHJ.D. Martinez 5 · Brandon Drury 3 · David Peralta 2
SPZack Greinke 5.3 · Robbie Ray 3.7 · Zack Godley 3.1 · Patrick Corbin 3.1 · Taijuan Walker 2.8
BP★ Fernando Rodney 39 · Archie Bradley 25 · David Hernandez 18 · Andrew Chafin 17 · Jorge De La Rosa 17 · J.J. Hoover 10 · T.J. McFarland 2 · Jake Barrett 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.

2017 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Paul Goldschmidt 29 FA-elig 1555.3 8.9 +9.2
Zack Greinke 33 FA-elig 335.3 34.0 -16.1
Robbie Ray 25 arb 283.7 0.6 +12.0
Patrick Corbin 27 arb 353.1 4.0 +6.6
Zack Godley 27 pre-arb 273.1 0.4 +10.0
Taijuan Walker 24 arb 282.8 2.2 +7.3
Jake Lamb 26 arb 1492.7 0.6 +8.5
J.D. Martinez↔ DET 29 FA-elig 622.6 6.1 +2.6
Chris Iannetta 34 FA-elig 892.4 1.5 +6.5
Archie Bradley 24 pre-arb 632.1 0.5 +6.4
Brandon Drury 24 pre-arb 1351.9 0.6 +5.9
AJ Pollock 29 arb 1121.9 6.8 -0.4
David Peralta 29 arb 1401.6 0.6 +4.7
Fernando Rodney 40 FA-elig 611.3 2.8 +1.8
Ketel Marte 23 pre-arb 731.1 0.3 +3.3
Randall Delgado 27 FA-elig 261.1 1.8 +1.8
Nick Ahmed 27 arb 530.9 0.6 +2.5
Jeremy Hazelbaker 29 pre-arb 410.7 1.1 +1.3
Andrew Chafin 27 arb 710.7 0.6 +1.7
Grégor Blanco 33 FA-elig 900.6 1.0 +1.0
Chris Owings 25 arb 970.6 2.3 -0.3
Jeff Mathis 34 FA-elig 600.5 2.0 -0.2
Shelby Miller 26 arb 40.5 4.7 -3.1
Anthony Banda 23 – 80.4 0.1 +1.3
James Sherfy 25 – 110.3 – –
Christian Walker 26 pre-arb 110.2 0.1 +0.7
T.J. McFarland 28 arb 430.2 0.7 -0.1
Daniel Descalso 30 FA-elig 1310.1 1.4 -0.9
David Hernandez↔ ANA 32 FA-elig 260.1 0.2 +0.0
Ildemaro Vargas 25 – 120.0 0.1 +0.0
Matt Koch 26 pre-arb 10.0 0.0 -0.0
Jorge De La Rosa 36 FA-elig 66-0.0 2.2 -2.3
Silvino Bracho 24 pre-arb 21-0.0 0.2 -0.2
J.J. Hoover 29 arb 52-0.0 0.9 -1.0
John Ryan Murphy 26 – 5-0.0 0.1 -0.2
Rubby De La Rosa 28 – 9-0.1 0.2 -0.3
Kristopher Negrón 31 – 14-0.1 – –
Jack Reinheimer 24 – 2-0.1 0.0 -0.4
Yasmany Tomás 26 pre-arb 47-0.2 9.5 -10.3
Tom Wilhelmsen 33 FA-elig 27-0.2 1.2 -2.1
Braden Shipley 25 pre-arb 10-0.3 0.1 -1.2
Rey Fuentes 26 – 64-0.4 – –
Adam Rosales↔ OAK 34 FA-elig 34-0.4 0.4 -1.6
Jake Barrett 25 pre-arb 28-0.4 0.5 -2.0
Chris Herrmann 29 arb 106-0.9 0.9 -4.0

Key additions (new vs 2016)

PlayerfWAR
Taijuan Walker2.8
J.D. Martinez2.6
Chris Iannetta2.4
Fernando Rodney1.3
Ketel Marte1.1
Jeremy Hazelbaker0.7

Key subtractions (gone from 2016)

Player2016 fWAR
Jean Segura6.1
Welington Castillo1.4
Daniel Hudson0.7
Brad Ziegler0.6
Tyler Wagner0.4
Phil Gosselin0.3

Current & Historical Payroll

2017 payroll
$102.5M
2018 guaranteed
$0M

What the front office was committed to as of 2017, 2017–2023. Guaranteed $ are contract commitments signed by 2017; 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 (10)

PlayerAgeSvc2017201820192020202120222023
Zack Greinke3312.057$34.0MFREE AGENT
Fernando Rodney4013.137$2.8MFREE AGENT
Jorge De La Rosa3613.000$2.2MFREE AGENT
Jeff Mathis3410.012$2.0MFREE AGENT
Chris Iannetta3410.013$1.5MFREE AGENT
Daniel Descalso306.016$1.4MFREE AGENT
Grégor Blanco336.164$1.0MFREE AGENT
Adam Rosales346.163$405kFREE AGENT
David Hernandez327.095$217kFREE AGENT
Rubby De La Rosa286.000$172kFREE AGENT

Arbitration-eligible (13)

PlayerAgeSvc2017201820192020202120222023
Paul Goldschmidt295.059$8.9MFREE AGENT
AJ Pollock294.052$6.8MARB 3FREE AGENT
J.D. Martinez295.036$6.1MFREE AGENT
Shelby Miller263.166$4.7MARB 2ARB 3FREE AGENT
Patrick Corbin274.105$4.0MARB 3FREE AGENT
Chris Owings253.027$2.3MARB 2ARB 3FREE AGENT
Randall Delgado274.100$1.8MARB 3FREE AGENT
Tom Wilhelmsen335.072$1.2MFREE AGENT
Chris Herrmann293.001$938kARB 2ARB 3FREE AGENT
J.J. Hoover293.153$900kARB 2ARB 3FREE AGENT
T.J. McFarland283.007$685kARB 2ARB 3FREE AGENT
John Ryan Murphy264.000$91kARB 3FREE AGENT
Kristopher Negrón315.000—FREE AGENT

Pre-arbitration (22)

PlayerAgeSvc2017201820192020202120222023
Yasmany Tomás262.000$9.5MARB 1ARB 2ARB 3FREE AGENT
Taijuan Walker242.142$2.2MARB 1ARB 2ARB 3FREE AGENT
Jeremy Hazelbaker291.052$1.1MPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jake Lamb262.053$573kARB 1ARB 2ARB 3FREE AGENT
David Peralta292.120$572kARB 1ARB 2ARB 3FREE AGENT
Robbie Ray252.007$570kARB 1ARB 2ARB 3FREE AGENT
Nick Ahmed272.054$566kARB 1ARB 2ARB 3FREE AGENT
Andrew Chafin272.020$559kARB 1ARB 2ARB 3FREE AGENT
Brandon Drury241.034$554kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jake Barrett251.000$548kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Archie Bradley241.112$544kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Zack Godley270.142$409kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ketel Marte231.066$281kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Silvino Bracho240.125$164kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Anthony Banda230.000$111kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Braden Shipley250.070$102kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ildemaro Vargas250.000$79kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Christian Walker260.033$64kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Matt Koch260.027$15kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jack Reinheimer240.000$9kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Rey Fuentes26–—
James Sherfy250.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Diamondbacks 2017; 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 = [[1998, 0.761, -11.6], [1999, 1.421, 10.59], [2000, 1.409, -0.64], [2001, 1.266, 10.76], [2002, 1.576, 8.99], [2003, 1.156, -3.62], [2004, 0.997, -23.95], [2005, 0.882, -8.41], [2006, 0.724, -0.57], [2007, 0.665, -3.34], [2008, 0.824, 0.99], [2009, 0.812, -0.21], [2010, 0.55, -1.63], [2011, 0.606, 14.09], [2012, 0.753, 6.13], [2013, 0.857, -3.86], [2014, 0.92, -12.13], [2015, 0.53, 5.51], [2016, 0.711, -2.97], [2017, 0.785, 13.33], [2018, 0.979, -1.78], [2019, 0.911, 3.12], [2021, 0.662, -16.18], [2022, 0.641, -2.91], [2023, 0.775, 1.78], [2024, 1.021, 12.18], [2025, 0.943, 1.98], [2026, 0.983, -5.63]], TEAMCOL = '#1D7C84'; 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 = 2017; 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": ["IF", "SP", "SP", "SP", "SP", "SP", "IF", "OF", "C", "RP", "IF", "OF", "OF", "RP", "IF", "RP", "IF", "OF", "RP", "OF", "IF", "C", "SP", "SP", "RP", "IF", "RP", "IF", "RP", "IF", "RP", "RP", "RP", "RP", "C", "RP", "IF", "IF", "OF", "RP"], "league": [5.4, 4.27, 3.44, 2.94, 2.55, 2.37, 2.16, 1.91, 1.7, 1.57, 1.32, 1.18, 1.07, 0.97, 0.84, 0.74, 0.68, 0.61, 0.55, 0.48, 0.39, 0.33, 0.28, 0.23, 0.19, 0.15, 0.11, 0.08, 0.06, 0.04, 0.01, -0.01, -0.03, -0.05, -0.08, -0.11, -0.12, -0.15, -0.18, -0.22], "names": ["Paul Goldschmidt", "Zack Greinke", "Robbie Ray", "Patrick Corbin", "Zack Godley", "Taijuan Walker", "Jake Lamb", "J.D. Martinez", "Chris Iannetta", "Archie Bradley", "Brandon Drury", "AJ Pollock", "David Peralta", "Fernando Rodney", "Ketel Marte", "Randall Delgado", "Nick Ahmed", "Jeremy Hazelbaker", "Andrew Chafin", "Gr\u00e9gor Blanco", "Chris Owings", "Jeff Mathis", "Shelby Miller", "Anthony Banda", "James Sherfy", "Christian Walker", "T.J. McFarland", "Daniel Descalso", "David Hernandez", "Ildemaro Vargas", "Matt Koch", "Jorge De La Rosa", "Silvino Bracho", "J.J. Hoover", "John Ryan Murphy", "Rubby De La Rosa", "Kristopher Negr\u00f3n", "Jack Reinheimer", "Yasmany Tom\u00e1s", "Tom Wilhelmsen"], "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": [5.35, 5.3, 3.73, 3.13, 3.08, 2.84, 2.68, 2.59, 2.38, 2.07, 1.93, 1.87, 1.58, 1.34, 1.06, 1.06, 0.9, 0.71, 0.66, 0.61, 0.6, 0.54, 0.48, 0.43, 0.33, 0.22, 0.18, 0.12, 0.07, 0.03, 0.0, -0.01, -0.02, -0.04, -0.05, -0.05, -0.05, -0.11, -0.23, -0.24]}; 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:'ARI',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);});