ReviewCurrent reviews in musculoskeletal medicine2022
Current State of Data and Analytics Research in Baseball.
Review in Current reviews in musculoskeletal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Pitch-Tracking Risk Factors and Warning Signs for Shoulder Capsulolabral Injuries in Major League Baseball Pitchers.Orthopaedic journal of sports medicine · 2026Article
- Sidearm Deliveries Are Associated With Lower Shoulder and Elbow Injury Burden and a Favorable Performance Profile in Major League Baseball: A Cohort Study of 927 Pitchers (2020-2025).Orthopaedic journal of sports medicine · 2026Article
- Factors Associated With Cumulative Shoulder and Elbow Injury Burden: A Retrospective Cohort Study of 1445 Major League Baseball Pitchers (2015-2025).Orthopaedic journal of sports medicine · 2026Article
- Advanced Analytic and Pitch-Tracking Risk Factors for Capsulolabral Injuries in Major League Baseball Pitchers.Orthopaedic journal of sports medicine · 2026Article
- Key factors and tactical variations in Chinese national women's softball games: a machine learning-based identification.Frontiers in sports and active living · 2025Article
- Prediction of Shooting Events in Soccer Videos Using Complete Bipartite Graphs and Players' Spatial-Temporal Relations.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewBaseball has become one of the largest data-driven sports. In this review, we highlight the historical context of how big data and sabermetrics began to transform baseball, the current methods for data collection and analysis in baseball, and a look to the future including emerging technologies. RECENT
findingsMachine learning (ML), artificial intelligence (AI), and modern motion-analysis techniques have shown promise in predicting player performance and preventing injury. With the advent of the Health Injury Tracking System (HITS), numerous studies have been published which highlight the epidemiology and performance implications for specific injuries. Wearable technologies allow for the prospective collection of kinematic data to improve pitching mechanics and prevent injury. Data and analytics research has transcended baseball over time, and the future of this field remains bright.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.