PORTFOLIO

Semester-Long project work

The heart of the research and analysis done by our members, split up into two categories: client engagements and recreational analysis.

CLIENT WORK

Featured partnerships with various sports organizations.

UVA Football

9 projects across the last two semesters

"I’ve had a chance to work with the UVA Sports Analytics Club for over a year now. Together, we have collaborated on projects to help us identify prospects - both at the high school level and at the college level. The work that they’ve done has been nothing short of brilliant. I enjoy our partnership and look forward to future projects in 2026 & beyond."

— Justin Speros, UVA Football General Manager

Fredericksburg Nationals

Minor league affiliate of the Washington Nationals

2 projects completed last semester on dynamic ticket pricing models that the organization could adopt within their current pricing matrix

INDEPENDENT PROJECTS

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Rookie of the Year: Flagg vs. Knueppel
NBA

Rookie of the Year: Flagg vs. Knueppel

A tracking-data breakdown of the 2025-26 ROTY race, using the NBA's optical xFG% model and custom defensive impact metrics to weigh Cooper Flagg against Kon Knueppel.

Edwin Luhnow, Nathan Brence, Sid Shah, Leyton AllenSpring 2026
Line Chemistry on Ice: Measuring the Blackhawks' Hidden Value
NHL

Line Chemistry on Ice: Measuring the Blackhawks' Hidden Value

Isolates true line chemistry for the Chicago Blackhawks by comparing observed 5v5 xGD60 to a baseline expected from individual player talent, surfacing which units genuinely outperform the sum of their parts.

Connor Hirschtritt, Sahil Sardar, Andrew Rourke, Manu NaikSpring 2026
Chasing Chalk: Do NFL Favorites Really Pay Off?
NFL

Chasing Chalk: Do NFL Favorites Really Pay Off?

Digs into 2025-26 NFL spread data to test how often favorites actually cover, where the market misprices home, away, and neutral-site matchups, and which situations offer real betting edges.

Annabel Brawn, Turner Landrum, Jinay ShahSpring 2026
Shot Quality vs. Reality: Finding the NBA's Next Regression Candidates
NBA

Shot Quality vs. Reality: Finding the NBA's Next Regression Candidates

Separates skill from variance by pitting expected shooting efficiency against actual results, surfacing the league's clearest buy-low and sell-high shooters.

Dylan Rocca, Parker Lau, Andrew KimSpring 2026
Bracket Science: Forecasting March Madness with Bayesian Boosting
NCAAB

Bracket Science: Forecasting March Madness with Bayesian Boosting

A hybrid NCAA Tournament model that layers Bayesian priors on team strength with gradient-boosted trees to forecast matchups and quantify bracket uncertainty.

Jaden Rothschild, Sankalp Yadava, Brendan OakesSpring 2026
Going for It: Rethinking 4th-Down Calls in the Modern NFL
NFL

Going for It: Rethinking 4th-Down Calls in the Modern NFL

A decision bot trained on a decade of nflverse play-by-play compares coaches' 4th-down calls to model-optimal choices and quantifies the win-probability cost of playing it safe.

Karthik Bose, Edwin Luhnow, Samsher MalhiFall 2025
The Hidden Art of the Assist: Rating NBA Playmaking Beyond the Box Score
NBA

The Hidden Art of the Assist: Rating NBA Playmaking Beyond the Box Score

Builds an Assist Quality Rating that blends shot creation, shooter skill, defensive pressure, clutch context, and shot distance to reveal which passers are really driving offense.

Sharon Zhou, Manda LeeFall 2025
Big Five or Bust: Where USMNT Talent Truly Develops
SOCCER

Big Five or Bust: Where USMNT Talent Truly Develops

Tests whether USMNT players in Europe's top leagues outperform their MLS peers using caps, goals, and per-90 contribution data to measure the pathway's real impact.

Luke Riccio, Aryan KulkarniFall 2025
Beyond the Assist: Grading Every NBA Pass on a 100-Point Scale
NBA

Beyond the Assist: Grading Every NBA Pass on a 100-Point Scale

Introduces AQR, a weighted 0-100 score that grades every assist on pass difficulty, shot quality created, directness, and finishing effort — revealing which playmakers create real value beyond the box score.

Rishabh Malkani, Soravich Hengsuvanich, Andrew KimFall 2025
Inside the Arsenal: Diagnosing Hunter Brown and Bryan King's 2025 Seasons
MLB

Inside the Arsenal: Diagnosing Hunter Brown and Bryan King's 2025 Seasons

Uses pitch-by-pitch Statcast data to break down two Astros arms — mapping pitch usage, movement, and xwOBA by matchup and leverage to recommend concrete arsenal and sequencing changes.

Dylan Mulieri, Joey Crain, Brian HockettFall 2025