2026 Schedule
Registration and Name Badges
8:30-12:00 on Saturday
Registration and Name Badging for Saberseminar 2026 will open on Saturday Morning at 8:30AM in the event space. Please understand that registration can be chaotic as it is both our first and most active volunteer activity. To alleviate congestion at the registration table, there is no requirement to receive your name badge prior to the first round of Saturday talks, please feel free to see us at any time on Saturday morning.
Saturday
[1] 9:00-9:10 | Connie Lee
A Message from the Alliance to Cure Cavernous Malformation
[2] 9:10-9:20 | Dan Brooks, Rob Arthur, and Katie Krall
Conference Open
[3] 9:20-9:40 | Scott Powers (Rice University), Rose Graves (Rice University), Marina Vannucci (Rice University), James H Buffi (Reboot Motion), Daniel Barrueco (Major League Baseball), John
D’Angelo (Major League Baseball), and Amanda K Glazer (University of Texas at Austin)
Safer, Not Slower: Actionable insights from a large-scale survival analysis of baseball pitching mechanics
[4] 9:40-9:50 | Noah Bair (Syracuse University)
Mechanical Fatigue Detection from Broadcast Video: A Computer Vision Pipeline for Pitcher Biomechanics
[5] 9:50-10:00 | Ethan Diamond (Syracuse University)
Optimizing Pitching Performance through Spin Efficiency and Arm Slot Alignment
[6] 10:00-10:30 | Nick Krall (Reds President of Baseball Operations)
Keeping up with the Kralls: Roster Construction in a Modern Front Office
[7] 10:30-10:45 | Break
[8] 10:45-11:00 | Ben Lerch (Auburn University), Harry Pavlidis (PitchInfo), Stephen Sutton-Brown (PitchInfo), and Gretchen Oliver (Auburn University)
Biomechanical Predictors of Fastball-Changeup Velocity Delta in Division I Collegiate Pitchers
[9] 11:00-11:15 | Matthew Reedy
Anti-Tunneling: Intentional Unpredictability in Major League Baseball
[10] 11:15-11:25 | Michael Alan Shabareck
STRA/IN: A Calibrated Framework for Measuring Real Pitching Arm Stress
[11] 11:25-11:35 | Theo Au-Yeung (Rice University)
Introducing Blend+: Evaluating Pitch Arsenals as an Orchestra
[12] 11:35-11:50 | Sean Sullivan (URAM Analytics)
From Stuff to Strategy: A Data-Driven Framework for Improving MLB Pitch Profiles and Optimizing Usage
[13] 11:50-12:00 | Sierra Doherty and Chi-Kuang Yeh (Georgia State University)
Classifying pitches in collegiate baseball
[14] 12:00-13:00 | Lunch
[15] 13:00-13:20 | Keenan Long (Longball Labs)
Bat Optimization: The Hidden Game of Poker Being Played by MLB Hitters
[16] 13:20-13:35 | Zachary Levitan (Syracuse University)
The Bat Speed vs. Swing Length Tradeoff: Using Self-Organizing Maps to Effectively Cluster Hitters
[17] 13:35-13:45 | Tryg Aanenson (Federal Reserve Bank of Dallas)
Same Swing, Different Pitch: Separating Adjustment from Inconsistency in Statcast Bat Tracking
[18] 13:45-14:05 | Sam Ehrlich and Conner Pelletier (Driveline Baseball)
Bat Path and Hitting Biomechanics Through Motion Capture
[19] 14:05-14:20 | Break
[20] 14:20-14:30 | Ryan Ilan and Jordan Gottlieb (California State University, Northridge)
When Should You Challenge? Estimating ABS Challenge Value Using Matchup-Level RE288 Projections
[21] 14:30-14:40 | Sam Cowan and Ethan Cappelleri (Boston University)
Modeling ABS Challenges as Pitch-level State Transitions
[22] 14:40-14:50 | Steven Pappas and Gregory J. Matthews (Loyola University Chicago)
ABS Are Made in the Model: A Model-Based Analysis of Year One of the ABS Challenge System
[23] 14:50-15:00 | John Aber (Northwestern University)
Evaluating Non-Win Data: A Managerial Scorecard for Today's Game
[24] 15:00-15:10 | Steve MacDougall (Boston University)
Realigning Perspectives:Quantifying Infield Positioning Value
[25] 15:10-15:30 | Tristan Mott, David Grimsman, and Christopher Archibald (Walk-Off Labs; Brigham Young University)
How Far Ahead Should Managers Be Planning? Game Theoretic Justifications and Critiques for Using a "Closer"
[26] 15:30-15:40 | Break
[27] 15:40-15:50 | Zach Borowiak (University of Missouri) and Charles Steinhardt (University of Missouri)
How Teams Can Optimize Pitch Calling
[28] 15:50-16:00 | Hannah Dean and Anthony Corso
The Composite Dean's Index: A Multi-Metric Framework for Quantifying Pitcher Talent and Projecting Development
[29] 16:00-16:10 | Dalton Lowery (Emory University)
Conditional VAEs for Counterfactual Pitch Generation
[30] 16:10-16:20 | Gavin Anderson (Syracuse University)
Quick to the Plate: Investigating Slide Step Biomechanical Efficiency through Computer Vision Analysis
[31] 16:20-16:30 | Aidan Resnick (Chicago Trading Company)
Pitcher Greeks: First Principles, Stuff Models, and Derivatives
[32] 16:30-16:45 | Shun Chen (University of Toronto)
Faster Doesn't Steal More - And Why
[33] 16:45-17:00 | Break
[34] 17:00-17:45 | Eno Sarris and Derek VanRiper
Rates and Barrels Live Recording
[35] 18:00-late | Saberseminar Meetup (21+)
Maria's Community Bar Back Patio (960 W 31st St, Chicago, IL 60608)
Sunday
[36] 9:00-9:20 | Jun Hee Kim, Adrian Burgos, Jr., Shen Yan, Ryan To, and Daniel J. Eck (University of Illinois Urbana-Champaign)
Context-Adjusted Statistics for Negro League Players via Full House Modeling
[37] 9:20-9:35 | Nickolas Bartle
Beyond the Aging Curve: A Bayesian Framework for Distinguishing and Quantifying Injury vs. Natural Decline in MLB Pitchers
[38] 9:35-9:45 | Kalen Muehlig (Syracuse University)
Predicting Decline of MLB Position Players' Prime
[39] 9:45-9:55 | Anthony Jablonski (Northwestern University)
Projecting Value Early: Contract Extension Trends for Pre-Arbitration MLB Players
[40] 9:55-10:10 | Kenton Shuck
Projecting AAA Players Promoted to the Majors via Player Similarity Clustering
[41] 10:10-10:20 | Break
[42] 10:20-11:00 | Dan Straily (Director of Pitching Development, University of Oregon), Brian Furlong (Director of Player Development, Baylor University), Jack Olszewski (Director of Baseball Analytics, University of Miami) and Esteban Navarro Garaiz (Teamworks)
Small Samples, Big Stakes: Evaluating Talent in the NIL Era
[43] 11:00-11:20 | Alex Vigderman and Joe Rosales (Sports Info Solutions)
Bringing Defensive Runs Saved to NPB and KBO
[44] 11:20-11:35 | Nick Wan (Cincinnati Reds)
Is Hoby Milner's Sinker Good? A Gentle Research Methods Example
[45] 11:35-11:50 | Owen St.Onge (Syracuse University)
Quantifying the Relationship Between Bat Tracking and Pitch Sequencing: Detecting Information from Previous Swings
[46] 11:50-12:00 | Carson Vrba (Illinois Tech)
Is It Worth An Out? Stolen Bases at the D3 Level
[47] 12:00-13:00 | Lunch
[48] 13:00-13:20 | Connor Richards (University of California, San Diego), D. Taylor La Salle (Point Loma Nazarene University), Trenton Toplikar, Oscar Vila Dieguez (University of California, San Diego), Samuel R Ward (University of California, San Diego)
Arm Angle Predicts Arm Injury Incidence Among MLB pitchers: Overview of Risk Factors
[49] 13:20-13:35 | Jack Lambert (Driveline Baseball)
When wOBA Isn't Enough
[50] 13:35-13:50 | Jaeseok Choi, Jangwon Lee (Sungkyunkwan University)
Baseball2Vector: A Five-Tool Vector Representation of Position Players Aligned with the 20-80 Scouting Scale
[51] 13:50-14:05 | Matt Dennewitz, Eno Sarris
Getting Agentic with Stuff+: Building Trustworthy Narratives and Q&A
[52] 14:05-14:15 | Break
[53] 14:15-14:30 | Joe DeFrancesco
Movers and Stayers: Geographic Mobility Predicts MLB Attainment Among Drafted Players
[54] 14:30-14:40 | Aidan Gilbert (Syracuse University)
Quantifying Umpire Positioning and its Influence on Ball-Strike Decisions
[55] 14:40-14:50 | Joseph Chii (Bellaire High School)
The Hidden Epidemic in Baseball
[56] 14:50-15:00 | Andrew Diamond (Syracuse University)
Protecting the Lead: Introducing Shutdown Rate Above Expected (SRAE) as a Measure of High-Leverage Threat Prevention
[57] 15:00-15:10 | Dylan Tovitz and Ethan Schulman (Vanderbilt University)
Green Light: A Context-Aware Projection of Stolen Base Value
[58] 15:10-15:20 | Break
[59] 15:20-15:30 | Vinay Kumar
Playoff Projection Systems: How Good are they? (And can they be better?)
[60] 15:30-15:40 | Dave Arthur (Northwestern University) and Katie Krall (Northwestern University, Marquee Sports Network)
Investigating the Relationship between MLB Payroll Breakdown by Position and Team Success
[61] 15:40-15:50 | Kevin Brown
baseballflightsim: An Open-Source Package for Batted Ball Trajectory Simulation
[62] 15:50-16:00 | Michael Hershkowitz
Projection Fragility: What Beat the Streak Can Teach Us About Player Forecasting
[63] 16:00-16:10 | Will MacLean
A Quick History of Offensive Baseball Statistics: Which Is Top of the Pops?
[64] 16:10-16:20 | Break
[65] 16:20-16:30 | Sam Cowan and Tejas Rama (Boston University)
"Stomping" Out Fielder Pitch Tipping
[66] 16:30-16:40 | Christopher Dalton (I DJ NOW; Disney Streaming Services)
Opportunities Created Percentage: A New Way to Evaluate Offense
[67] 16:40-16:50 | Kyle McCracken
Beating the Sportsbooks: Using an OLS Regression Model to Project MLB Run Totals
[68] 16:50-17:00 | Sean Duffy (Temple University)
PitchPilot: A Decision Intelligence Platform for Pitch Sequencing and Game Strategy