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Journal articles on the topic 'Baseball players, statistics'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Erickson, Brandon J., Peter N. Chalmers, John D’Angelo, Kevin Ma, Dana Rowe, and Christopher S. Ahmad. "Do Injury Rates in Position Players Who Convert to Pitchers in Professional Baseball Differ From Players Who Have Always Been Pitchers?" Orthopaedic Journal of Sports Medicine 9, no. 10 (2021): 232596712110509. http://dx.doi.org/10.1177/23259671211050963.

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Background: There are some professional baseball players who begin their career as a position player and later convert to a pitcher; injury rates in these players are unknown. Purpose: To compare injury rates of professional baseball players who started their career as position players and converted to pitchers with a control group of pitchers who have been only pitchers throughout their professional career. Hypothesis: Injury rates would be lower in the conversion players. Study Design: Cohort study; Level of evidence, 3. Methods: All players who began their professional baseball career as po

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van der List, Jelle P., Christopher L. Camp, Alec L. Sinatro, Joshua S. Dines, and Andrew D. Pearle. "Systematic Review of Outcomes Reporting in Professional Baseball: A Call for Increased Validation and Consistency." American Journal of Sports Medicine 46, no. 2 (2017): 487–96. http://dx.doi.org/10.1177/0363546517697690.

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Background: Historically, treatment efficacy of professional baseball injuries has been determined by assessing the return-to-play (RTP) rate or using patient-reported functional outcomes scores; however, these methods may not be sensitive and specific enough for elite athletes. As a consequence, performance-based statistics are increasingly being reported in the medical literature. Purpose: To (1) assess how treatment efficacy is currently reported in professional baseball players; (2) examine the variability in the reporting of these measures in terms of frequency, length of time followed, a

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3

Erickson, Brandon J., Peter N. Chalmers, John D’Angelo, et al. "Performance and Return to Sports After Meniscectomy in Professional Baseball Players." American Journal of Sports Medicine 50, no. 4 (2022): 1006–12. http://dx.doi.org/10.1177/03635465221074021.

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Background: Meniscal injuries are common in athletes across many sports. How professional baseball players respond to partial meniscectomy is not well documented. Purpose/Hypothesis: The purpose was to determine the performance and return-to-sports (RTS) rate in professional baseball players after arthroscopic partial knee meniscectomy and compare the results of partial medial meniscectomy versus partial lateral meniscectomy. The hypothesis was that there would be a high RTS rate in professional baseball players after partial meniscectomy with no difference in the RTS rate or timing of RTS bet

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4

Koban, Lori, and Erin McNelis. "Fantasy Baseball with a Statistical Twist." Mathematics Teacher 102, no. 4 (2008): 264–71. http://dx.doi.org/10.5951/mt.102.4.0264.

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Fantasy baseball, a game invented in 1980, allows baseball fans to become managers of pretend baseball teams. In most fantasy baseball leagues, participants choose teams consisting of major league players who they believe will do well in five offensive categories (batting average, home runs, runs batted in, stolen bases, and runs scored) or in five pitching categories. We bring a fantasy baseball activity into entry-level statistics classes. Each student drafts a team on the basis of nine offensive categories, most of which are statistical twists on the five categories above. The primary goal

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Koban, Lori, and Erin McNelis. "Fantasy Baseball with a Statistical Twist." Mathematics Teacher 102, no. 4 (2008): 264–71. http://dx.doi.org/10.5951/mt.102.4.0264.

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Fantasy baseball, a game invented in 1980, allows baseball fans to become managers of pretend baseball teams. In most fantasy baseball leagues, participants choose teams consisting of major league players who they believe will do well in five offensive categories (batting average, home runs, runs batted in, stolen bases, and runs scored) or in five pitching categories. We bring a fantasy baseball activity into entry-level statistics classes. Each student drafts a team on the basis of nine offensive categories, most of which are statistical twists on the five categories above. The primary goal

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6

Chalmers, Peter Nissen, Brandon J. Erickson, Nikhil N. Verma, and Anthony A. Romeo. "Incidence and Return to Play after Biceps Tenodesis in Major League Baseball Players." Orthopaedic Journal of Sports Medicine 5, no. 3_suppl3 (2017): 2325967117S0011. http://dx.doi.org/10.1177/2325967117s00115.

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Objectives: Superior labral anterior-posterior (SLAP) tears are a common source of inability to play among baseball players of all levels. SLAP repair is unpredictable and thus biceps tenodesis (BT) has been proposed as an alternative. Furthermore, tenodesis may be indicated for pain isolated to the biceps tendon. The incidence of BT among professional baseball players is unknown, as are the rates of return to play (RTP). The purpose of this study was to determine RTP rates after BT among professional baseball players. Methods: Major League Baseball (MLB) has maintained a prospective database

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Ahlstrom, David, Steven Si, and James Kennelly. "Free-Agent Performance in Major League Baseball: Do Teams Get What They Expect?" Journal of Sport Management 13, no. 3 (1999): 181–96. http://dx.doi.org/10.1123/jsm.13.3.181.

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Under certain conditions, equity and expectancy theories yield opposite predictions. This study examines one such situation. Performance statistics from a sample of 172 Major League Baseball free agents were collected for the 2 years before and 1 year after each player's free agency filing. Equity theory suggests that performance decrements will occur when players perceive they are undercompensated in their free-agent year. In contrast, expectancy theory suggests that players' performance will be superior when they are up for new contracts. During the 1st year of a free-agent player's new cont

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Pytiak, Andrew V., Phillip Stearns, Tracey P. Bastrom, et al. "Are the Current Little League Pitching Guidelines Adequate? A Single-Season Prospective MRI Study." Orthopaedic Journal of Sports Medicine 5, no. 5 (2017): 232596711770485. http://dx.doi.org/10.1177/2325967117704851.

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Background: Little League throwing guidelines have recently been implemented in an attempt to lessen the growing number of elbow injuries occurring in youth baseball players. Hypothesis/Purpose: The purpose of this study was to examine pre- and postseason changes seen on magnetic resonance imaging (MRI) in youth baseball players’ elbows in an attempt to identify risk factors for pain and MRI abnormalities, with a particular focus on the current Little League guidelines. We hypothesized that MRI abnormalities would be common in pitchers with high pitch counts and poor guideline compliance. Stud

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Pareek, Ayoosh, Chad W. Parkes, Alexey A. Leontovich, et al. "Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Players: An Analysis of Statistically Variability in Healthy Players Using a Machine Learning Approach." Orthopaedic Journal of Sports Medicine 7, no. 7_suppl5 (2019): 2325967119S0039. http://dx.doi.org/10.1177/2325967119s00397.

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Objectives: Traditional pitching statistics (ERA, WHIP, etc) have been used as surrogates for pitcher performance without being validated. Even amongst healthy pitchers, the normal variability of these parameters has not yet been established. The purpose of this study was to determine the normal variability of basic and advanced pitching statistics in non-injured Major League Baseball (MLB) pitchers. It is our hope that this work will serve as the foundation for the identification and implementation of validated, pitcher dependent statistical measures that can be used to assess return to play

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Peterson, Joshua G., Vehniah K. Tjong, Michael A. Terry, Matthew D. Saltzman, Stephen M. Gryzlo, and Ujash Sheth. "Concussion Incidence and Impact on Player Performance in Major League Baseball Players Before and After a Standardized Concussion Protocol." Orthopaedic Journal of Sports Medicine 8, no. 4 (2020): 232596712091302. http://dx.doi.org/10.1177/2325967120913020.

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Background: Sports-related concussions have garnered significant attention in recent years because of the negative effects they can have on a player’s cognitive health and performance. In response to this growing concern, Major League Baseball (MLB) introduced a standardized concussion protocol during the 2011-2012 season. Purpose/Hypothesis: The purpose of this study was to compare the reported incidence of concussions and the subsequent performance of MLB players before and after the introduction of the standardized concussion protocol. We hypothesized that the introduction of the standardiz

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11

Lackritz, James R. "Salary Evaluation for Professional Baseball Players." American Statistician 44, no. 1 (1990): 4. http://dx.doi.org/10.2307/2684947.

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12

Shih, Stephanie S., and Deniz Rudin. "Sound Symbolism in Baseball Player Names." Names 69, no. 1 (2021): 20–35. http://dx.doi.org/10.5195/names.2021.2245.

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Recent work has argued that sound symbolism plays a much larger part in language than previously believed, given the assumption of the arbitrariness of the sign. A slate of recent papers on Pokémonastics, for example, has found sound symbolic associations to be rampant in Pokémon names cross-linguistically. In this paper, we explore a real-world dataset that parallels Pokémon, in which human players similarly have physical attributes of weight, height, and power: Major League Baseball. We investigated phonological correlations between baseball player statistics and their given first names, cho

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13

Over, Ray. "Age and Level of Performance in Major League Baseball." Journal of Aging and Physical Activity 2, no. 3 (1994): 221–32. http://dx.doi.org/10.1123/japa.2.3.221.

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The relationship between age and the level of performance of major league baseball players was assessed through quasi-experimental designs. Whereas cross-sectional comparisons revealed no differences in batting and fielding statistics between younger and older players, longitudinal analysis showed significant decrements in batting performance as players aged from 30 to 35 years. A decline in performance with age was found even among elite players. Age decrements in achievement need to be studied not only in the context of molar measures such as batting statistics but also at a microanalytic le

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14

Kaufman, James C. "A Triarchical Model of Batting Abilities: Applying Psychological Statistics to Baseball." Perceptual and Motor Skills 85, no. 1 (1997): 299–304. http://dx.doi.org/10.2466/pms.1997.85.1.299.

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A triarchical model of batting ability in baseball (Power, Skill, and Speed) was hypothesized. Factor analysis of data obtained from 77 players on the four 1996 playoff teams produced three meaningful oblique factors, giving support to the proposed model. The factor structure and specific pattern of factor loadings were quite stable as coefficients of congruence of .97 to .99 were obtained between factors extracted from separate analyses of the National League players ( n = 38) and the American League players ( n = 39).

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15

Giberson-Chen, Carew C., Brian L. Shaw, Samuel S. Rudisill, et al. "Return to Play After Shoulder Surgery in Professional Baseball Players: A Systematic Review and Meta-analysis." Orthopaedic Journal of Sports Medicine 11, no. 1 (2023): 232596712211408. http://dx.doi.org/10.1177/23259671221140853.

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Background: The current literature lacks an updated review examining return to play (RTP) and return to prior performance (RTPP) after shoulder surgery in professional baseball players. Purpose: To summarize the RTP rate, RTPP rate, and baseball-specific performance metrics among professional baseball players who underwent shoulder surgery. Study Design: Systematic review; Level of evidence, 4. Methods: A literature search was performed utilizing the PubMed, MEDLINE, and CINAHL databases and according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. In

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Canbulat, Osman Akanay, Safiye Turgay, and Esma Sedef Kara. "Machine Learning Approach to Baseball Player Assessment using KNN, Logistic Regression, and Gaussian Naive Bayes." Financial Engineering 3 (November 25, 2024): 14–21. https://doi.org/10.37394/232032.2025.3.2.

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This research employs a machine learning approach to assess and predict baseball player performance, utilizing three distinct algorithms: K Nearest Neighbors (KNN), Logistic Regression, and Gaussian Naive Bayes. The purpose of the study is to discover trends and insights for an end-to-end comprehension of player skills, which assists coaches, scouts, and team management to make well-informed decisions. Player dataset involves batting averages, overall game statistics and defensive approaches. Along with the data set applied in the study, the sports analytics process is also developed and the a

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Schall, Teddy, and Gary Smith. "Do Baseball Players Regress Toward the Mean?" American Statistician 54, no. 4 (2000): 231. http://dx.doi.org/10.2307/2685772.

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18

Congdon-Hohman, Joshua M., and Jonathan A. Lanning. "Beyond Moneyball." Journal of Sports Economics 19, no. 7 (2017): 1046–61. http://dx.doi.org/10.1177/1527002517704019.

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This study examines the changes in player compensation in Major League Baseball during the last three decades. Specifically, we examine the extent to which recently documented changes in players’ compensation structure based on certain types of productivity fits in with the longer term trends in compensation and identify the value of specific output activities in different time periods. We examine free-agent contracts in 3-year periods across three decades and find significant changes to how players’ past performances are rewarded in free agency beyond the change in those to on-base percentage

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19

Beer, John, and Joe Beer. "Relationship of Eye Color to Professional Baseball Players' Batting Statistics Given on Bubblegum Cards." Perceptual and Motor Skills 69, no. 2 (1989): 632–34. http://dx.doi.org/10.2466/pms.1989.69.2.632.

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139 professional baseball players who appeared on Topps bubble gum cards (copyright 1987) were subjects. The players, whose printed eye colors could be identified from their photographs, were sorted into three categories of 45 dark-eyed white players, 27 light-eyed white players, and 67 black players. The statistics on the backs of the cards were dependent measures and included: Games, At Bat, Runs, Hits, Second Base, Third Base, Home Runs, Runs Batted In, Stolen Bases, SLG, Bunts, Strike Outs, and Batting Average. Analyses of variance performed on the data with light-eyed white and dark-eyed

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20

Biagini, Emily K., Liam A. Peebles, Margaret Higgins, Michaela Stamm, John J. Lefante, and Mary K. Mulcahey. "Return to Play After Shoulder Arthroscopy in Major League Baseball Pitchers vs Position Players." Orthopaedic Journal of Sports Medicine 11, no. 2 (2023): 232596712211507. http://dx.doi.org/10.1177/23259671221150782.

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Background: Recovery from shoulder arthroscopy may vary between professional pitchers and position players in Major League Baseball (MLB). The time that it takes to return to play (RTP) and the level of skills to be regained after surgery are important factors for an athlete to consider when making career decisions. Purpose: To identify MLB players who had arthroscopic shoulder surgery and observe their rates of RTP to MLB and the minor league, as well as to compare pre- and postinjury performance statistics and career metrics. Study Design: Descriptive epidemiology study. Methods: Public reco

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21

Kaleru, Brihat. "Prediction of on-Base Percentage (OBP) of Baseball Players Using Neural Networks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35740.

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This research paper presents a detailed study on the prediction of On-Base Percentage (OBP) of baseball players utilizing neural networks. OBP is a crucial statistic in baseball, measuring how frequently a batter reaches base through hits, walks, and hit-by-pitches, excluding errors, fielder's choices, and dropped catches. Traditional methods of predicting OBP have relied heavily on historical statistics and linear models. This study explores the application of neural networks to improve prediction accuracy. We discuss the existing systems, propose a novel neural network-based approach, and ev

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Matthews, Gregory J., Pétala Gardênia da Silva Estrela Tuy, and Robert K. Arthur. "An examination of statistical disclosure issues related to publication of aggregate statistics in the presence of a known subset of the dataset using Baseball Hall of Fame ballots." Journal of Quantitative Analysis in Sports 13, no. 1 (2017): 1–10. http://dx.doi.org/10.1515/jqas-2016-0085.

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AbstractEach year the members of the Baseball Writers Association of America (BBWAA) vote for eligible former players to be inducted into the Baseball Hall of Fame. The BBWAA tabulates and releases vote totals, but individual ballots remain private. However, many voters forgo their ballot privacy to publish their ballots through various media channels. These publicly available ballots can be aggregated to create a subset of the true ballots. Using these released ballots and the totals released by the BBWAA, this research assesses what can be learned about the group of voters who chose to not d

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Loree, Jacob Andrew. "Determinants of Baseball Success: An Econometric Approach." Business and Economic Research 6, no. 2 (2016): 1. http://dx.doi.org/10.5296/ber.v6i2.9488.

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While much has been investigated into the relationship between several baseball statistics and success, the literature is more heavily focused on individual level characteristics and the salary of individual baseball players. This paper investigates, at a more macro level, the importance of key baseball statistics on the level of wins a team can expect on average using the Lahman Baseball Database for all teams from 1985 to 2015. After several robustness tests, the most important variables an average team should focus on is the total number of runs a team gives up and getting on base as often

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Pareek, Ayoosh, Chad W. Parkes, Alexey A. Leontovich, et al. "Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Pitchers? Analysis of Statistical Variability in Healthy Players." Orthopaedic Journal of Sports Medicine 9, no. 11 (2021): 232596712110509. http://dx.doi.org/10.1177/23259671211050933.

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Background: Basic pitcher statistics have been used to assess performance in pitchers after injury or surgery without being validated. Even among healthy pitchers, the normal variability of these parameters has not yet been established. Purpose: To determine (1) the normal variability of basic and advanced pitcher statistics in healthy professional baseball pitchers and (2) the minimum pitches needed to predict these parameters. Study Design: Cross-sectional study; Level of evidence, 3. Methods: Publicly available data from the MLB Statcast and PITCHf/x databases were used to analyze MLB pitch

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Glogovac, Georgina, and Brian M. Grawe. "Outcomes With a Focus on Return to Play for Revision Ulnar Collateral Ligament Surgery Among Elite-Level Baseball Players: A Systematic Review." American Journal of Sports Medicine 47, no. 11 (2018): 2759–63. http://dx.doi.org/10.1177/0363546518816960.

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Background: Ulnar collateral ligament (UCL) reconstruction is commonly performed among overhead throwing athletes. Previous studies demonstrated relatively high rates of return to sport after primary reconstruction. Outcomes after revision UCL reconstruction have not been widely studied. Purpose: To report the rate of return to sport after revision UCL reconstruction among elite-level baseball players. Study Design: Systematic review. Methods: A systematic review of the literature following the PRISMA (Preferred Reporting Items for Systematic Meta-Analyses) guidelines was performed for high-le

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Thomas, Stephen J., Ryan W. Paul, Adam B. Rosen, et al. "Return-to-Play and Competitive Outcomes After Ulnar Collateral Ligament Reconstruction Among Baseball Players: A Systematic Review." Orthopaedic Journal of Sports Medicine 8, no. 12 (2020): 232596712096631. http://dx.doi.org/10.1177/2325967120966310.

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Background: Ulnar collateral ligament (UCL) reconstruction (UCLR) is very common in baseball. However, no review has compared the return-to-play (RTP) and in-game performance statistics of pitchers after primary and revision UCLR as well as of position players after UCLR. Purpose: To review, synthesize, and evaluate the published literature on outcomes after UCLR in baseball players to determine RTP and competitive outcomes among various populations of baseball players. Study Design: Systematic review; Level of evidence, 4. Methods: A literature search including studies between 1980 and Novemb

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Swindell, Hasani W., David P. Trofa, Jamie Confino, Julian J. Sonnenfeld, Frank J. Alexander, and Christopher S. Ahmad. "Performance in Collegiate-Level Baseball Players After Elbow Ulnar Collateral Ligament Reconstruction." Orthopaedic Journal of Sports Medicine 8, no. 4 (2020): 232596712091301. http://dx.doi.org/10.1177/2325967120913013.

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Background: The increase in ulnar collateral ligament (UCL) elbow reconstructions over the past 20 years has affected younger athletes more than any other age group. Although return to play and postoperative performance have been extensively studied in professional baseball players, outcomes in collegiate baseball players are less known. Purpose/Hypothesis: The purpose of this study was to characterize return to play and changes in performance after UCL reconstruction (UCLR) in collegiate baseball players. We hypothesized that collegiate baseball players would have similar return-to-play rates

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Saltzman, Bryan M., Matthew W. Tetreault, Daniel D. Bohl, Danielle Tetreault, Simon Lee, and Bernard R. Bach. "Analysis of Player Statistics in Major League Baseball Players Before and After Achilles Tendon Repair." HSS Journal ® 13, no. 2 (2017): 108–18. http://dx.doi.org/10.1007/s11420-016-9540-6.

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Ince, Deniz Can. "Analysis of Player Statistics in Major League Baseball Players before and after Achilles Tendon Repair." HSS Journal ® 14, no. 2 (2018): 222. http://dx.doi.org/10.1007/s11420-017-9602-4.

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Saltzman, Bryan M., Matthew W. Tetreault, Daniel D. Bohl, Danielle Tetreault, Simon Lee, and Bernard R. Bach. "Analysis of Player Statistics in Major League Baseball Players Before and After Achilles Tendon Repair." HSS Journal ® 14, no. 2 (2018): 223–24. http://dx.doi.org/10.1007/s11420-017-9603-3.

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DeFroda, Steven F. "Effect of a 12-Week Off-Season Strength Training Program on Athletic Performance in Adolescent Baseball Players." Sports Medicine and Injury Care Journal 2, no. 1 (2020): 1–9. http://dx.doi.org/10.24966/smic-8829/100009.

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Performing a 12-week strength training program increased running speed but not bat exit velocity or post-program hitting performance statistics. Baseball-specific strength training programs are safe and effective interventions that can improve athleticism in adolescents

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Camp, Christopher L., Frank C. Curriero, Keshia M. Pollack, et al. "The Epidemiology and Effect of Sliding Injuries in Major and Minor League Baseball Players." American Journal of Sports Medicine 45, no. 10 (2017): 2372–78. http://dx.doi.org/10.1177/0363546517704835.

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Background: Although sliding occurs frequently in professional baseball, little is known about the epidemiology and effect of injuries that occur during sliding in this population of elite athletes. Purpose: To describe the incidence and characteristics of sliding injuries, determine their effect in terms of time out of play, and identify common injury patterns that may represent appropriate targets for injury prevention programs in the future. Study Design: Descriptive epidemiologic study. Methods: All offensive sliding injuries occurring in Major League Baseball (MLB) and Minor League Baseba

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Coren, Stanley, and Diane F. Halpern. "A Replay of the Baseball Data." Perceptual and Motor Skills 76, no. 2 (1993): 403–6. http://dx.doi.org/10.2466/pms.1993.76.2.403.

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Fudin, Renninger, Lembessis, and Hirshon (1993) reported a nonsignificant longevity advantage for right-handers in their analysis of archival baseball data, although the absolute values are still in the predicted direction. Differences in specific data entries and analyses are difficult to resolve; however, there is some indication that the data base that they analyzed differs from that in our study. Further, their use of parametric statistics, given distributional problems and grossly unequal group sizes, may account for the nonsignificance they observed, when compared to the nonparametric an

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Xiong, Lu, Kechen Tian, Yuwen Qian, Wilson Musyoka, and Xingyu Chen. "Determine the Undervalued US Major League Baseball Players with Machine Learning." International Journal of Innovative Technology and Exploring Engineering 12, no. 3 (2023): 17–24. http://dx.doi.org/10.35940/ijitee.b9406.0212323.

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Baseball is a sport of statistics. The industry has accumulated detailed offensive and defensive statistical data for over a century. Experience has shown that data analysis can give a competitive advantage compared to teams without using such analysis. In the last two decades, with the development of machine learning and artificial intelligence, we have had more advanced algorithms to analyze data in baseball. In the following research, we will run different ML models using sci-kit-learn and H2O on Colab, and the Caret package on RStudio to examine the datasets (hitting dataset and salary dat

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Lu, Xiong, Tian Kechen, Qian Yuwen, Musyoka Wilson, and Chen Xingyu. "Determine the Undervalued US Major League Baseball Players with Machine Learning." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 12, no. 3 (2023): 17–24. https://doi.org/10.35940/ijitee.B9406.0212323.

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<strong>Abstract</strong>: Baseball is a sport of statistics. The industry has accumulated detailed offensive and defensive statistical data for over a century. Experience has shown that data analysis can give a competitive advantage compared to teams without using such analysis. In the last two decades, with the development of machine learning and artificial intelligence, we have had more advanced algorithms to analyze data in baseball. In the following research, we will run different ML models using sci-kit-learn and H2O on Colab, and the Caret package on RStudio to examine the datasets (hit

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Ramkumar, Prem N., Sergio M. Navarro, Heather S. Haeberle, et al. "Short-Term Outcomes of Concussions in Major League Baseball: A Historical Cohort Study of Return to Play, Performance, Longevity, and Financial Impact." Orthopaedic Journal of Sports Medicine 6, no. 12 (2018): 232596711881423. http://dx.doi.org/10.1177/2325967118814238.

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Background: The short-term outcomes of concussions within Major League Baseball (MLB) warrant further consideration beyond a medical standpoint given that performance, career, and financial data remain unknown. The perception of this injury directly affects decision making from the perspective of both player and franchise. Purpose: To evaluate the effect of concussion on MLB players by (1) establishing return-to-play (RTP) time after concussion; (2) comparing the career length and performance of players with concussion versus those who took nonmedical leave; and (3) analyzing player financial

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Green, Gary, Keshia M. Pollack Porter, Anton Kvit, et al. "Examining Batting Performance After a Sports-Related Concussion Among Major League Baseball Position Players." American Journal of Sports Medicine 49, no. 3 (2021): 790–97. http://dx.doi.org/10.1177/0363546520987232.

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Background: An ongoing challenge in sports-related concussion (SRC) is determining full recovery. This study examines performance metrics in baseball after an SRC and provides a template for assessment of return-to-performance parameters. Purpose: To determine whether batting performance returns to baseline after an SRC. Study Design: Descriptive epidemiological study. Methods: Participants were all Major League Baseball (MLB) position players with confirmed SRCs that occurred during the 2011-2015 seasons. A retrospective review and assessment of performance metrics before and after injury wer

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Mangine, Gerald T., Jay R. Hoffman, Jose Vazquez, Napoleon Pichardo, Maren S. Fragala, and Jeffrey R. Stout. "Predictors of Fielding Performance in Professional Baseball Players." International Journal of Sports Physiology and Performance 8, no. 5 (2013): 510–16. http://dx.doi.org/10.1123/ijspp.8.5.510.

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The ultimate zone-rating extrapolation (UZR/150) rates fielding performance by runs saved or cost within a zone of responsibility in comparison with the league average (150 games) for a position. Spring-training anthropometric and performance measures have been previously related to hitting performance; however, their relationships with fielding performance measures are unknown.Purpose:To examine the relationship between anthropometric and performance measurements on fielding performance in professional baseball players.Methods:Body mass, lean body mass (LBM), grip strength, 10-yd sprint, proa

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Beaudry, Mason F., Anna G. Beaudry, Brett C. Benzinger, Bradley D. Gilliam, and David E. Haynes. "Knowledge and Perceptions of Ulnar Collateral Ligament Injuries in Baseball Players: A Survey of NCAA Head Baseball Coaches." Orthopaedic Journal of Sports Medicine 10, no. 12 (2022): 232596712211414. http://dx.doi.org/10.1177/23259671221141442.

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Background: There is growing concern among sports medicine professionals regarding the increasing prevalence of ulnar collateral ligament (UCL) surgery in baseball players. At this time, it is unclear whether collegiate head baseball coaches possess adequate knowledge of UCL injuries. Purpose/Hypothesis: The purpose of this study was to assess the knowledge and perceptions of UCL injury among National Collegiate Athletic Association (NCAA) head baseball coaches. It was hypothesized that NCAA head baseball coaches would demonstrate misconceptions and knowledge disparities regarding UCL injury.

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Kilanowski, Humbert, and Thomas Moloney. "Sabermetrics by the sea: Evaluating college players with the Cape Cod Baseball League." Journal of Sports Analytics 10, no. 1 (2024): 67–75. http://dx.doi.org/10.3233/jsa-240771.

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From the dawn of the “Moneyball” system of searching for players with undervalued skills, an increasing proportion of players chosen in the Major League draft has come from the collegiate ranks, and while every professional team has an analytics department, the draft remains the last frontier for identifying and acquiring the best prospective players. Thus, it has become more important in recent years to evaluate college players properly, and while players’ statistics during the college season can vary wildly due to differing levels of competition, it is necessary to find a more objective metr

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Weimar, Daniel, and Pamela Wicker. "Moneyball Revisited." Journal of Sports Economics 18, no. 2 (2016): 140–61. http://dx.doi.org/10.1177/1527002514561789.

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In Moneyball, the assumption was made that the baseball labor market undervalues specific player skills. This study investigates whether this is also the case for player effort in professional soccer which had no significant effect on players’ market values in previous research. Specifically, it examines the effect of effort on team performance in soccer using team-game day data from three seasons ( N = 1,514) of the German Bundesliga. Two effort measures are applied: (1) total distance run and (2) number of intensive runs (>20 km/hr) per player and per match. The results of probit models s

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Clark, Joseph F., James K. Ellis, Johnny Bench, Jane Khoury, and Pat Graman. "High-Performance Vision Training Improves Batting Statistics for University of Cincinnati Baseball Players." PLoS ONE 7, no. 1 (2012): e29109. http://dx.doi.org/10.1371/journal.pone.0029109.

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McCullough, B. D., and Thomas P. McWilliams. "Baseball players with the initial “K” do not strike out more often." Journal of Applied Statistics 37, no. 6 (2010): 881–91. http://dx.doi.org/10.1080/02664760902889965.

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Crotin, Ryan L., Toshimasa Yanai, Peter Chalmers, et al. "Analysis of Injuries and Pitching Performance Between Major League Baseball and Nippon Professional Baseball: A 2-Team Comparison Between 2015 to 2019." Orthopaedic Journal of Sports Medicine 9, no. 5 (2021): 232596712110088. http://dx.doi.org/10.1177/23259671211008810.

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Background: There has been minimal research investigating injury and pitching performance differences between Major League Baseball (MLB) and other professional leagues. Purpose/Hypothesis: This 2-team comparison between MLB and Japan’s Nippon Professional Baseball (NPB) involved affiliated players over 5 years. We hypothesized that teams would differ in the injury incidence, mechanism of injury, pitch velocity, and pitch type usage. Study Design: Descriptive epidemiology study. Methods: Between 2015 and 2019, pitching data as well as injury statistics for the highest level and minor league af

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Powers, Scott, Trevor Hastie, and Robert Tibshirani. "Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball." Statistical Modelling 18, no. 5-6 (2018): 388–410. http://dx.doi.org/10.1177/1471082x18777669.

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We propose the nuclear norm penalty as an alternative to the ridge penalty for regularized multinomial regression. This convex relaxation of reduced-rank multinomial regression has the advantage of leveraging underlying structure among the response categories to make better predictions. We apply our method, nuclear penalized multinomial regression (NPMR), to Major League Baseball play-by-play data to predict outcome probabilities based on batter–pitcher matchups. The interpretation of the results meshes well with subject-area expertise and also suggests a novel understanding of what differenti

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Miltenberger, Matthew, Brendan Finn, Victor Cruz, Brandon Snyder, and Shala Davis. "The Impact Of Sports Performance Variables On Game Statistics In NCAA DII Baseball Players." Medicine & Science in Sports & Exercise 56, no. 10S (2024): 219–20. http://dx.doi.org/10.1249/01.mss.0001054456.43995.98.

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Stambaugh, Jessica, Eric Edmonds, and Andrew Pennock. "ARTHROSCOPIC SHOULDER STABILIZATION IN HIGH SCHOOL FOOTBALL PLAYERS: RECURRENT INSTABILITY WITH RETURN TO CONTACT SPORT." Orthopaedic Journal of Sports Medicine 8, no. 4_suppl3 (2020): 2325967120S0024. http://dx.doi.org/10.1177/2325967120s00247.

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Background: The etiology of recurrent shoulder instability after arthroscopic surgery in the high school American football population remains unknown. Purpose/Hypothesis: To determine the risk of recurrent instability after shoulder arthroscopy upon return to competitive football. The hypothesis was that the rate of recurrence would be greater in high school players with more years of eligibility remaining (YER), suggesting greater likelihood of return to football after surgery. Methods: Consecutive male high school football players with at least one year of eligibility remaining who sustained

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Zheng, Meng-Cong, and Chih-Yung Chen. "Types of Major League Baseball Broadcast Information and Their Impacts on Audience Experience." Informatics 9, no. 4 (2022): 82. http://dx.doi.org/10.3390/informatics9040082.

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Baseball is a sport that involves a large number of statistics, which are often displayed during broadcast events to show the players’ performance levels. With the advent of big data, the amount and types of data used in broadcasts have increased yearly. However, the use of complex information challenges the audience’s ability to process it. This study considered data types used during broadcasts as the basis for an in-depth exploration of audiences’ experience resulting from the application of visualization. The study also examined the relationship between the contents of broadcast informatio

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Mellor, Steven, Michael J. Paley, and R. James Holzworth. "Fans' Judgments About the 1994-95 Major League Baseball Players' Strike." Multivariate Behavioral Research 34, no. 1 (1999): 59–87. http://dx.doi.org/10.1207/s15327906mbr3401_3.

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Soto Valero, C. "Predicting Win-Loss outcomes in MLB regular season games – A comparative study using data mining methods." International Journal of Computer Science in Sport 15, no. 2 (2016): 91–112. http://dx.doi.org/10.1515/ijcss-2016-0007.

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Abstract Baseball is a statistically filled sport, and predicting the winner of a particular Major League Baseball (MLB) game is an interesting and challenging task. Up to now, there is no definitive formula for determining what factors will conduct a team to victory, but through the analysis of many years of historical records many trends could emerge. Recent studies concentrated on using and generating new statistics called sabermetrics in order to rank teams and players according to their perceived strengths and consequently applying these rankings to forecast specific games. In this paper,

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