qntkhvn.netlify.app
more show info + tickets: eventbrite.com/e/uncontrolled-variables-tickets-167491434389
more show info + tickets: eventbrite.com/e/uncontrolled-variables-tickets-167491434389
Register for the event here: teamusaevents.teamusa.org/trncl/PI_Sum...
Register for the event here: teamusaevents.teamusa.org/trncl/PI_Sum...
We include ball carrier random effects at the concentration level, with variance grouped by position.
This reveals the shiftiest players with high variability in turning behavior.
We include ball carrier random effects at the concentration level, with variance grouped by position.
This reveals the shiftiest players with high variability in turning behavior.
We focus on RBs after handoff and RBs/TEs/WRs after the catch.
We focus on RBs after handoff and RBs/TEs/WRs after the catch.
arxiv.org/pdf/2507.06122
Spoiler alert: DK Metcalf displays straight-line, less agile movement, while George Pickens exhibits erratic, more variable directional movement.
arxiv.org/pdf/2507.06122
Spoiler alert: DK Metcalf displays straight-line, less agile movement, while George Pickens exhibits erratic, more variable directional movement.
bsky.app/profile/libb...
bsky.app/profile/libb...
Here are my vizzes from last night.
First lap:
Here are my vizzes from last night.
First lap:
More information about speakers, accommodations, etc. can be found on the conference website.
And FYI - I will be leading a workshop on player tracking data using #BigDataBowl data.
More information about speakers, accommodations, etc. can be found on the conference website.
And FYI - I will be leading a workshop on player tracking data using #BigDataBowl data.
Trench Chess explores how defensive lines change their looks from pre-snap to post-snap and how it relates to pressures, focusing on two pass rush schemes: disguised pressures and stunts
Trench Chess explores how defensive lines change their looks from pre-snap to post-snap and how it relates to pressures, focusing on two pass rush schemes: disguised pressures and stunts
CHASE (Convex Hull Area Strength Estimate) quantifies a receiver’s impact on defensive spacing
CHASE (Convex Hull Area Strength Estimate) quantifies a receiver’s impact on defensive spacing
TL;DR—We use a Bayesian hierarchical modeling approach (w/ a Gamma distribution) to model QB snap timing variability and find that higher variability relates to facing less havoc generated by the defense
TL;DR—We use a Bayesian hierarchical modeling approach (w/ a Gamma distribution) to model QB snap timing variability and find that higher variability relates to facing less havoc generated by the defense
kaggle.com/code/tindata...
substack.com/note/p-15308...
We model QB snap timing variability and find that higher variability relates to facing less havoc events generated by the opposing defense.
Yet again, Patrick Mahomes is really good at football...
kaggle.com/code/tindata...
substack.com/note/p-15308...
We model QB snap timing variability and find that higher variability relates to facing less havoc events generated by the opposing defense.
Yet again, Patrick Mahomes is really good at football...