RRosternomics
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Athletics OAK

‹ ›

GM: Billy Beane

Overview

WINDOW ↗ rising
cheap & winning · year 2 in this regime · payroll 0.62× league · TAB +11.6
+11.6TAB — talent above budget3rd/30
+15.6WAB — realized wins (TAB + luck)2nd/30
8.0depth — 2+ WAR regulars8th/30
-2.1dead WAR — sub-replacement drag4th/30
33%dead money %22nd/30
0.565win %6th/30
39.8roster fWAR9th/30
+23surplus $M (value vs cost)2nd/30
$34Mpayroll $M24th/30

2000: made playoffs · 91–70. Ranks are vs the 30 teams that season.

Roster

CFTerrence Long 137GRyan Christenson 27GBo Porter 2G
LFBen Grieve 144GRyan Christenson 76GAdam Piatt 8G
RFMatt Stairs 102GJeremy Giambi 49GAdam Piatt 22G
SSMiguel Tejada 160GFrank Menechino 5GEric Chavez 2G
2BRandy Velarde 122GFrank Menechino 51GJose Ortiz 3G
3BEric Chavez 146GOlmedo Saenz 18GAdam Piatt 13G
1BJason Giambi 124GMike Stanley 58GOlmedo Saenz 17G
STARTERSTim Hudson 3.5WARGil Heredia 2.7WARBarry Zito 2.1WARKevin Appier 1.9WARMark Mulder 1.1WAR
CRamon Hernandez 142GSal Fasano 52GA.J. Hinch 5G
DHMatt Stairs 33GJohn Jaha 30GMike Stanley 24G
BULLPEN★ Jason Isringhausen 33svJeff Tam 19hJim Mecir 19hMike Magnante 14hT.J. Mathews 9hDoug Jones 7hScott Service 0hLuis Vizcaino 0h
CRamon Hernandez 142 · Sal Fasano 52 · A.J. Hinch 5
1BJason Giambi 124 · Mike Stanley 58 · Olmedo Saenz 17
2BRandy Velarde 122 · Frank Menechino 51 · Jose Ortiz 3
3BEric Chavez 146 · Olmedo Saenz 18 · Adam Piatt 13
SSMiguel Tejada 160 · Frank Menechino 5 · Eric Chavez 2
LFBen Grieve 144 · Ryan Christenson 76 · Adam Piatt 8
CFTerrence Long 137 · Ryan Christenson 27 · Bo Porter 2
RFMatt Stairs 102 · Jeremy Giambi 49 · Adam Piatt 22
DHMatt Stairs 33 · John Jaha 30 · Mike Stanley 24
SPTim Hudson 3.5 · Gil Heredia 2.7 · Barry Zito 2.1 · Kevin Appier 1.9 · Mark Mulder 1.1
BP★ Jason Isringhausen 33 · Jeff Tam 19 · Jim Mecir 19 · Mike Magnante 14 · T.J. Mathews 9 · Doug Jones 7 · Scott Service 0 · Luis Vizcaino 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.

2000 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Jason Giambi 29 arb 1527.7 3.1 +7.8
Miguel Tejada 26 arb 1603.5 0.3 +4.7
Tim Hudson 24 pre-arb 333.5 0.2 +4.7
Gil Heredia 34 FA-elig 322.7 2.1 +1.7
Ben Grieve 24 arb 1582.2 0.8 +2.3
Barry Zito 22 pre-arb 142.1 0.2 +2.9
Randy Velarde 37 FA-elig 1222.1 3.0 -0.0
Eric Chavez 22 pre-arb 1532.0 0.2 +2.6
Kevin Appier 32 FA-elig 311.9 5.6 -2.8
Terrence Long 24 pre-arb 1381.8 0.2 +2.3
Jeff Tam 29 pre-arb 721.7 0.2 +2.2
Olmedo Saenz 29 FA-elig 761.6 0.3 +2.0
Mark Mulder 22 pre-arb 271.1 0.2 +1.4
Doug Jones 43 FA-elig 541.1 0.6 +0.9
Jim Mecir↔ TBR 30 arb 251.0 0.1 +1.3
Ramon Hernandez 24 pre-arb 1430.9 0.2 +1.1
Omar Olivares 32 FA-elig 210.9 4.0 -2.8
Jason Isringhausen 27 arb 660.9 0.8 +0.4
Adam Piatt 24 pre-arb 600.8 0.2 +0.9
Sal Fasano 28 arb 520.6 0.2 +0.6
Ryan Christenson 26 pre-arb 1210.4 0.2 +0.4
Ariel Prieto 30 – 80.4 – –
Mike Stanley↔ BOS 37 FA-elig 320.3 1.2 -0.9
Frank Menechino 29 pre-arb 660.2 0.2 +0.0
Scott Service 33 FA-elig 200.1 0.5 -0.3
Rich Becker↔ DET 28 FA-elig 230.1 0.1 +0.1
Mike Magnante 35 FA-elig 550.1 0.9 -0.8
Luis Vizcaino 25 pre-arb 120.1 0.2 -0.1
Bo Porter 27 – 170.1 – –
Jon Ratliff 28 – 10.0 – –
Todd Belitz 24 – 50.0 – –
Mark Bellhorn 25 – 90.0 – –
A.J. Hinch 26 – 6-0.0 – –
Eric Byrnes 24 – 10-0.0 – –
John Jaha 34 FA-elig 33-0.1 2.8 -2.8
Rich Sauveur 36 – 10-0.1 – –
T.J. Mathews 30 arb 50-0.1 1.2 -1.4
Marcus Jones 25 – 1-0.1 – –
Jeremy Giambi 25 pre-arb 104-0.2 0.2 -0.5
Jose Ortiz 23 – 7-0.2 – –
Ron Mahay↔ MIA 29 arb 5-0.3 0.0 -0.4
Mario Valdez 25 arb 5-0.3 0.2 -0.6
Matt Stairs 32 FA-elig 143-0.4 3.0 -3.6
Jorge Velandia↔ NYM 25 arb 18-0.4 0.1 -0.7

Key additions (new vs 1999)

PlayerfWAR
Barry Zito2.1
Terrence Long1.8
Jeff Tam1.7
Mark Mulder1.1
Jim Mecir1.0
Adam Piatt0.8

Key subtractions (gone from 1999)

Player1999 fWAR
Kenny Rogers2.3
Tony Phillips1.5
Mike Oquist1.4
Buddy Groom1.1
Billy Taylor1.1
Jimmy Haynes0.9

Current & Historical Payroll

2000 payroll
$33.7M

What the front office was committed to as of 2000, 2000–2006. Pre-2015 has no contract-terms data — forward italic $ are realized actuals (hindsight, not commitments known then). Control labels (ARB/FA) are point-in-time.

current $ guaranteed $ actual $ (hindsight) arbitration (proj) pre-arb (proj) free agent

Guaranteed / signed (12)

PlayerAgeSvc2000200120022003200420052006
Kevin Appier3211.000$5.6MFREE AGENT
Omar Olivares3210.000$4.0MFREE AGENT
Matt Stairs328.000$3.0MFREE AGENT
Randy Velarde3713.000$3.0MFREE AGENT$1.0M
John Jaha348.000$2.8M$3.2MFREE AGENT
Gil Heredia349.000$2.1M$3.3MFREE AGENT
Mike Stanley3714.000$1.2MFREE AGENT
Mike Magnante359.000$900k$900k$1.2MFREE AGENT
Doug Jones4318.000$600kFREE AGENT
Scott Service3312.000$500kFREE AGENT
Olmedo Saenz296.000$260k$290k$800kFREE AGENT
Rich Becker287.000$100kFREE AGENT

Arbitration-eligible (12)

PlayerAgeSvc2000200120022003200420052006
Jason Giambi295.000$3.1MFREE AGENT
T.J. Mathews305.000$1.2MFREE AGENT
Jason Isringhausen275.000$825kFREE AGENT
Ben Grieve243.000$750kARB 2ARB 3FREE AGENT
Miguel Tejada263.000$290kARB 2ARB 3FREE AGENT
Sal Fasano284.000$240kARB 3FREE AGENT
Mario Valdez253.000$200kARB 2ARB 3FREE AGENT
Jim Mecir305.000$139kFREE AGENT
Jorge Velandia253.000$120kARB 2ARB 3FREE AGENT
Ron Mahay295.000$47kFREE AGENT
Mark Bellhorn253.000—ARB 2ARB 3FREE AGENT
Ariel Prieto305.000—FREE AGENT

Pre-arbitration (20)

PlayerAgeSvc2000200120022003200420052006
Tim Hudson241.000$250kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jeff Tam292.000$240kARB 1ARB 2ARB 3FREE AGENT
Eric Chavez222.000$240kARB 1ARB 2ARB 3FREE AGENT
Jeremy Giambi252.000$228kARB 1ARB 2ARB 3FREE AGENT
Ryan Christenson262.000$221kARB 1ARB 2ARB 3FREE AGENT
Ramon Hernandez241.000$211kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Frank Menechino291.000$201kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Terrence Long241.000$201kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Luis Vizcaino251.000$200kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Adam Piatt240.000$200kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Mark Mulder220.000$200kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Barry Zito220.000$200kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Rich Sauveur36–—
A.J. Hinch262.000—ARB 1ARB 2ARB 3FREE AGENT
Jon Ratliff28–—
Bo Porter271.000—Pre-ArbARB 1ARB 2ARB 3FREE AGENT
Jose Ortiz230.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Todd Belitz24–—
Marcus Jones25–—
Eric Byrnes240.000—Pre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Athletics 2000; 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.

'; 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", "IF", "SP", "SP", "OF", "SP", "IF", "IF", "SP", "OF", "RP", "IF", "SP", "RP", "RP", "C", "SP", "RP", "OF", "C", "OF", "SP", "IF", "IF", "RP", "OF", "RP", "RP", "OF", "RP", "RP", "IF", "C", "OF", "IF", "RP", "RP", "SP", "OF", "IF"], "league": [6.33, 4.81, 3.73, 3.02, 2.69, 2.28, 2.0, 1.76, 1.57, 1.41, 1.28, 1.12, 0.96, 0.83, 0.76, 0.67, 0.6, 0.52, 0.42, 0.35, 0.3, 0.25, 0.2, 0.16, 0.12, 0.08, 0.05, 0.03, 0.01, -0.02, -0.04, -0.06, -0.09, -0.12, -0.16, -0.18, -0.19, -0.21, -0.29, -0.38], "names": ["Jason Giambi", "Miguel Tejada", "Tim Hudson", "Gil Heredia", "Ben Grieve", "Barry Zito", "Randy Velarde", "Eric Chavez", "Kevin Appier", "Terrence Long", "Jeff Tam", "Olmedo Saenz", "Mark Mulder", "Doug Jones", "Jim Mecir", "Ramon Hernandez", "Omar Olivares", "Jason Isringhausen", "Adam Piatt", "Sal Fasano", "Ryan Christenson", "Ariel Prieto", "Mike Stanley", "Frank Menechino", "Scott Service", "Rich Becker", "Mike Magnante", "Luis Vizcaino", "Bo Porter", "Jon Ratliff", "Todd Belitz", "Mark Bellhorn", "A.J. Hinch", "Eric Byrnes", "John Jaha", "Rich Sauveur", "T.J. Mathews", "Marcus Jones", "Jeremy Giambi", "Jose Ortiz"], "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": [7.69, 3.53, 3.46, 2.67, 2.18, 2.15, 2.12, 2.01, 1.95, 1.78, 1.72, 1.58, 1.15, 1.09, 1.01, 0.94, 0.86, 0.85, 0.8, 0.6, 0.44, 0.42, 0.25, 0.17, 0.15, 0.11, 0.08, 0.07, 0.06, 0.01, 0.0, 0.0, -0.01, -0.02, -0.06, -0.08, -0.09, -0.15, -0.18, -0.19]}; 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:'OAK',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);});