The private model evaluates upper-minors hitter and pitcher depth, then converts each organization into public 0-100 scores and letter grades.
Fantasy model
MLB Organization Farm System Grades
Daily workbook-backed Triple-A and Double-A prospect grades for all 30 organizations, scored 0-100 across overall farm strength, hitters, pitchers, speed, power, strikeout arms, depth, and ETA.
Tier map
Farm system grade tiers
The same tier labels drive the overall grade badges in the table and the full organization cards.
Filters
Sort the board your way
Slice the page by league, division, grade, risk, and dynasty fit without leaving the dashboard.
Board
Sortable organization table
The table publishes rounded 0-100 organization scores only; player rows, workbook component scores, and stat lines stay in the paid workbook.
Paid product
Want the player-level board?
This public page summarizes team-level grades. Premium Workbook access keeps the full player-level MLB, Triple-A, and Double-A data behind the paywall.
ProspectsPlayer-level paid product
GradesExact fantasy category scores
DepthFull organization and player views
Use caseDynasty and stash decisions
Organizations
Organization team cards
Each card keeps the fantasy thesis visible without publishing the underlying paid workbook rows.
Methodology
How the fantasy grades work
This page intentionally grades fantasy value, not real-life MLB organization quality.
The best-fantasy-prospect layer gives extra weight to names with enough age-to-level signal to matter in dynasty formats.
Speed, power, strikeout, command, and run-production signals are blended into public upside labels while exact score columns stay paid.
ETA strength rises when an organization’s better fantasy names are closer to MLB help and carry more stable reliability signals.
Triple-A and Double-A prospects are screened separately so younger Double-A impact gets credit without treating every older upper-minors stat line as equal dynasty value.
Shortstops, center fielders, and quality fantasy arms hold up better in the system view because they preserve more paths to category impact.
Risk level blends reliability with proximity. More Double-A dependence and weaker reliability push the system toward a higher-risk tag.
Those tags come from trend movement inside the private model, not external scouting-list momentum. Underlying trend scores remain in the paid product.
This page does not publish raw player rows, workbook component scores, workbook thresholds, or stat lines.