League setup

Snake order is derived from these. Change them before the draft starts.

How readily the engine writes a category off. 0 keeps chasing all nine to the end; 10 abandons a losing category the moment it slips. 8 is a sane default.

Team names optional

Leave blank for "Team 1", "Team 2" and so on. Your own slot is highlighted.

Category weights

Match your league's scoring. 1 = counts normally, 0 = not scored at all. This is a league setting — punting a category you're losing is a separate, per-roster choice.

Save setup Cancel

Load projections

Paste this season's projections below. 2025–26 historical stats are already preloaded from BoxScore Lab under CC BY 4.0 (data through Aug. 9, 2026), so there is nothing else to import.

Column headers are read automatically, so paste whatever the site gives you — ESPN, Hashtag, Basketball Monster, or your own CSV. Repeated header rows, doubled names, 0.573 (10.5/18.3) and 9.5/19.0 cells all parse. Don't clean anything up first.

Export a whole table without hand-selecting rows

Set the page to show every player first, then open the console (F12) and paste this. It copies the biggest table on the page as tab-separated text, ready to paste below. Tabs beat CSV here — nothing needs escaping.

copy([...[...document.querySelectorAll('table')] .sort((a,b)=>b.rows.length-a.rows.length)[0].rows] .map(r=>[...r.cells].map(c=>c.innerText.replace(/\s+/g,' ').trim()).join('\t')) .join('\n'))

Or download it as a CSV file instead:

(()=>{const t=[...document.querySelectorAll('table')] .sort((a,b)=>b.rows.length-a.rows.length)[0]; const esc=s=>/[",\n]/.test(s)?'"'+s.replace(/"/g,'""')+'"':s; const csv=[...t.rows].map(r=>[...r.cells] .map(c=>esc(c.innerText.replace(/\s+/g,' ').trim())).join(',')).join('\n'); const a=document.createElement('a'); a.href=URL.createObjectURL(new Blob([csv],{type:'text/csv'})); a.download='projections.csv';a.click();})()

On lazy-loading pages like ESPN, scroll to the bottom first — the snippet only sees rendered rows.