Team Sports DFS Simulator
Team-sport DFS is the shape most players learn first: fill a positional roster under a salary cap, stack correlated players from the same game, price against a large field. NBA, NFL, MLB, NHL, WNBA, and the college + international variants all follow this template with sport-specific scoring on top. Correlated Monte Carlo simulation is where the format shines — a stack's ceiling is not the sum of its parts, and pricing the joint distribution honestly is what separates cash from GPP construction.
Why simulate team sports
Every team-sport DFS build reduces to three decisions: which players clear the salary-cap efficiency floor, which correlated groupings stack together for shared game-script upside, and how to spread portfolio exposure across enough distinct build patterns to span the winning universes without concentrating variance. The specific weights differ by sport (NFL rewards QB-WR pairs; MLB rewards 4- and 5-batter team stacks; NBA rewards game-total pace-up plays) but the framework is the same, which is why the same simulator engine powers every team-sport slate with per-sport correlation matrices and per-site scoring configs.
Every team sports we cover
11 sports in this category — per-sport pages cover scoring, strategy, and site-specific configuration.
3 DFS sites • October – June
2 DFS sites • May – October
3 DFS sites • September – February
3 DFS sites • March – October
2 DFS sites • November – April
2 DFS sites • August – January
1 DFS site • June – November
1 DFS site • March – June
1 DFS site • October – May
3 DFS sites • October – June
3 DFS sites • Year-round
Frequently asked questions
Which team sports have the biggest DFS contest catalogues?
NFL Sundays, NBA nightly slates, and MLB main slates — in that order by prize-pool volume. NHL, WNBA, and CFB run smaller but sharper fields. The four US majors together account for over 90% of team-sport DFS entry volume.
How do team-sport DFS rosters differ across DK, FD, and Yahoo?
Positional slots vary slightly (DK's UTIL flex vs FD's G/F/UTIL in NBA; DK's 10-player MLB roster vs FD's 9), salary caps differ ($50k on DK vs $60k on FD), and stacking rules cap max-per-team differently. The simulator's per-site config handles all three so a projection loaded once works across every site.
Why is stacking so central to team-sport DFS?
Because scoring events are shared between correlated players — a QB's touchdown is his receiver's touchdown; a hitter's run is his teammates' RBI. The joint distribution of a stack is heavier-tailed than the sum of independent players, and that tail is what wins tournaments.
Which team-sport DFS blog post should I read first?
If you're new: 'NFL DFS Strategy' or 'NBA DFS Strategy' for your primary sport. Then 'MLB DFS Stacking' for the correlation math that generalizes to all team sports.