Behavior of college baseball players in a virtual batting task

A baseball batting simulation was used to investigate the information used to hit a baseball. Measures of spatial and temporal swing accuracy were used to test whether batters (a) use speed to estimate pitch height, (b) initiate a constant swing duration at a fixed time to contact, (c) are influenced by the history of previous pitches and pitch count, and (d) use rotation direction. Batters were experienced college players. Pitch speed variance led to predictable spatial errors, and spatial accuracy was worse than temporal accuracy. Swing duration was generally variable. The history of the previous 3 pitches and the pitch count had significant effects on accuracy, and performance improved when rotation cues were added. There were significant effects of expertise on hitting strategy.     

Psychology and “The Babe”

Psychologists and baseball players were among those Americans who formed professional associations in the last quarter of the nineteenth century. Psychologists used laboratory tasks to quantify mental and behavioral processes while sportswriters and baseball organizers measured individual and team performance. The most popular baseball player of the 1920s, George Herman “Babe” Ruth, possessed superior batting skills that were evident in the statistical indices of baseball performance. In 1921, he was brought to the psychological laboratory at Columbia University to perform standard laboratory tasks in an effort to discover the basis for his success in hitting home runs and to suggest the potential of tests for identifying future baseball stars. Baseball's addiction to quantitative indices of performance was thus brought together with a new science devoted to quantitative assessment and a desire to make such assessments useful. The attempt to analyze the basis of Ruth's batting skills is part of the history of applied psychology, sport psychology, and popular interest in the science of psychology. © 1998 John Wiley & Sons, Inc.     

Manual laterality and hitting performance in major league baseball.

Asymmetrical hand function was examined in the context of expert sports performance: hitting in professional baseball. An archival study was conducted to examine the batting performance of all Major League Baseball players from 1871 to 1992, focusing on those who batted left (n = 1,059) to neutralize the game asymmetry. Among them, left-handers (n = 421) were more likely to hit with power and to strike out than right-handers (n = 638). One possible account, based on the idea of hand dominance and an analogy to tennis, is that batting left involves a double-handed forehand for left-handers and a weaker and more reliable double-handed backhand for right-handers. The results are also interpretable in the light of Y. Guiard's (1987) kinematic chain model of a between-hands asymmetrical division of labor, which provides a detailed account of why left batting is optimal for left-handers.     

Differential reliance on performance outliers in athletic self‐assessment

The current studies tested the hypothesis that, despite experiencing high rates of performance failure, athletes maintain positive ability perceptions by basing assessments of their ability on peak, rarely occurring performances rather than on their more typically occurring base rate averages. Findings from two studies support this assertion. Study 1 showed that collegiate baseball players perceived their best‐ever hitting performance to better represent their true hitting ability than their worst‐ever performance, despite the latter being far more reflective of their objective batting average. Study 2 replicated this effect among college softball players, and demonstrated further that low‐performing athletes were the most severely miscalibrated in their ability perceptions. Implications for coaches, trainers, and practitioners committed to helping athletes develop are discussed.     

Hitting is contagious: experience and action induction

In baseball, it is believed that "hitting is contagious," that is, probability of success increases if the previous few batters get a hit. Could this effect be partially explained by action induction--that is, the tendency to perform an action related to one that has just been observed? A simulation was used to investigate the effect of inducing stimuli on batting performance for more-experienced (ME) and less-experienced (LE) baseball players. Three types of inducing stimuli were compared with a no-induction condition: action (a simulated ball traveling from home plate into left, right, or center field), outcome (a ball resting in either left, right, or center field), and verbal (the word "left", "center", or "right"). For both ME and LE players, fewer pitchers were required for a successful hit in the action condition. For ME players, there was a significant relationship between the inducing stimulus direction and hit direction for both the action and outcome prompts. For LE players, the prompt only had a significant effect on batting performance in the action condition, and the magnitude of the effect was significantly smaller than for ME. The effect of the inducing stimulus decreased as the delay (i.e., no. of pitches between prompt and hit) increased, with the effect being eliminated after roughly 4 pitches for ME and 2 pitches for LE. It is proposed that the differences in the magnitude and time course of action induction as a function of experience occurred because ME have more well-developed perceptual-motor representations for directional hitting.     

Dynamic vision training transfers positively to batting practice performance among collegiate baseball batters

A growing body of evidence demonstrates visual, perceptual, and oculomotor abilities contribute to batting performance in baseball and there is interest in whether training such abilities can transfer positively to batting performance. The current study tested this question through a pre-registered, randomized, and placebo-controlled intervention, conducted with 24 collegiate baseball players at two NCAA Division 1 universities. Athletes were randomized to receive either dynamic vision training consisting of stroboscopic, anticipatory timing, and eye quickness drills, or placebo drills stylized after control procedures in previous vision therapy studies. Generalized near-transfer was tested via a digital visual-motor task battery (n = 20), while sports-specific intermediate and far transfer of training were evaluated through instrumented batting practice metrics (n = 14) and box score performance in NCAA-sanctioned games (n = 12), respectively. The effects of training group were tested on these outcome measures while controlling for covariates such as pre-training expectations and site. Participants averaged 8.50 hours of training with no significant group differences in training adherence, expectations, or baseline assessments. ANCOVA revealed no group differences in measures of visual-motor skills or NCAA game statistics. However, batting practice demonstrated significant improvements in launch angle (p = 0.002, Cohen’s d = 0.74) and hit distance (p < 0.001, Cohen’s d = 0.70) for the active training cohort relative to the placebo control. This controlled and pre-registered pilot study therefore provides preliminary evidence that vision training may improve batting practice performance, creating new opportunities for the transfer of skill training and warranting further study.     

The Relationship Between Visual Anticipation and Baseball Batting Game Statistics

Visual anticipation of pitch type in single-A minor league baseball batters (N = 34) was measured using video-based temporal occlusion and correlated with real-world batting statistics. Anticipation of overall pitch type at front-foot impact was significantly correlated with base-on-balls percentage (r =.35), whereas anticipation of fastball/change-up combination at ball release was significantly correlated with base-on-balls percentage (r =.37) and on-base percentage (r =.37). Findings indicate that anticipation is likely one component of baseball batting performance. This helps consolidate a recent expert anticipation model of striking sports. Application of occlusion methodology to player develop programs is discussed.     

Correlations for weight, height and two measures of batting performance.

The hypothesis that heavier baseball players are better batters was examined in two correlational studies of major league baseball players' performance. Neither height nor weight was significantly correlated with batting average. Both variables correlated significantly and positively with the number of home runs hit by American League players in the 1997 season. After partial correlations were computed, only the correlation between weight and number of home runs hit remained significant.     

Pitching and clutch hitting in Major League Baseball: What 109 years of statistics reveal

ObjectivesTheory on performance under pressure in sport has proposed that an athlete may be disrupted psychologically when distracted, or when explicitly monitoring too much the skills involved (Beilock & Carr, 2001; Masters, 1992). Research has also suggested that the extent to which an athlete allows pressure to impact performance may be greater for skills of increased complexity, such as hitting a baseball (Kinrade, Jackson, Ashford, & Bishop, 2010; Masters, Polman, & Hammond, 1993). Accordingly, hypotheses for the current study were that baseball hitters would be more susceptible to pressure-induced performance changes than pitchers, whose skills are less based in hand-eye coordination.Design & methodAn archival design was employed, accounting for 109 years of historical baseball data at both the team and individual levels.ResultsIn line with hypotheses, for players with a minimum of 10 postseason innings pitched in a single year (n = 835) pitching statistics were significantly correlated from regular season (less pressure) to postseason (more pressure). For those with a minimum of 20 postseason at bats in a year (n = 1731), hitting statistics were similarly correlated from season to postseason; overall, however, the weakest such relationship was batting average. For teams (n = 370), regular season pitching was expected to be the best predictor of postseason success rates; this hypothesis was supported, but only for the most recent era of baseball history (1995–2011).ConclusionsThe data imply that, while hitting should not be wholly neglected, a successful, clutch baseball team should be built primarily around pitching.     

Frequency-dependent performance and handedness in professional baseball players (Homo sapiens)

I used data on handedness and pitching and hitting performance in annual cohorts of professional baseball players (1957-2005) to test the hypothesis that handedness among pitchers was subject to negative frequency-dependent selection. As predicted by this hypothesis, right-handed pitchers were more successful (i.e., opposing batters hit more poorly against them) when they were relatively rare in the population. Contrary to the predictions of this hypothesis, however, left-handed pitchers were more successful when they were relatively common. Both right- and left-handed batters performed better in years dominated by right-handed pitchers, despite the fact that right-handed batters perform relatively poorly against right-handed pitchers. I suggest that batters form cognitive representations based on pitcher handedness, and that these representations are strengthened by repeated exposure or priming. When the pitcher handedness polymorphism is more balanced (e.g., 67% right-handed, 33% left-handed), these cognitive representations are less effective, which leads to decreased batting averages and improved performance by all pitchers. Furthermore, these cognitive representations are likely to be more critical to the success of right-handed hitters, who have reduced visuomotor skills relative to left-handed hitters.     

It’s All About Timing: An Imagery Intervention Examining Multiple Image Speed Combinations

The current quasi-experiment examined changes in youth baseball players’ (N = 9) swing performance following an imagery intervention. Athletes participated in one of three conditions, each of which employed a different combination of slow-motion (SM), real-time (RT), or fast-motion (FM) image speeds: SM?+?RT, RT?+?FM, or SM?+?RT?+?FM. A single-subject multiple-baseline design was employed. The intervention approximated the real-world environment in which baseball players practice, thus, increasing representative design. Results generally indicated positive changes across all three conditions, however, the SM?+?RT?+?FM condition exhibited the most improvement. The employment of a multiple-speed imagery intervention appears to be a viable option for young athletes.

Lay Summary: Can using a combination of slow-motion, real-time, and fast-motion imagery improve baseball batting performance? Our results suggest so! Learn more in “It’s all about timing: An imagery intervention examining multiple image speed combinations’ by @jennyo_csueb @Frank_O_Ely & @samagalas #JASP     

Close, and a cigar!--Why size perception relates to performance

In baseball batting, golf putting, and dart throwing, successful players estimate the size of the target object to be bigger than their less successful counterparts. While more and more empirical evidence is accumulated supporting the existence of this intriguing phenomenon, an explanation of the processes underpinning this effect remains to be provided. Here, we re-analysed data from a dart throwing experiment to examine the proposal--recently put forward by Proffitt and Linkenauger (in press)--that the variability in target-related performance may serve as a scaling metric for perceived target size which may explain why actors who perform consistently close to the target perceive the target to be bigger. Our results confirm that less variability in target-related performance in darts relates to perceiving the target as being bigger, thereby providing initial support for Proffitt and Linkenauger's proposal.     

Round numbers as goals: evidence from baseball, SAT takers, and the lab

Where do people's reference points come from? We conjectured that round numbers in performance scales act as reference points and that individuals exert effort to perform just above rather than just below such numbers. In Study 1, we found that professional baseball players modify their behavior as the season is about to end, seeking to finish with a batting average just above rather than below .300. In Study 2, we found that high school students are more likely to retake the SAT after obtaining a score just below rather than above a round number. In Study 3, we conducted an experiment employing hypothetical scenarios and found that participants reported a greater desire to exert more effort when their performance was just short of rather than just above a round number.     

Declines in Major League Batting Performance as a Function of Game Pressure: A Drive Theory Analysis1

Zajonc's (1965) drive theory explanation argues that greater arousal tends to impair performance on difficult tasks. The hypothesis that arousal generated by “pressure situations” during major league baseball games would hinder batting performance—a difficult task—was tested by examining such performance during the 1989 season. Six “pressure situations” were identified, some occurring during the late innings of close games and others occurring throughout the game when there were two outs. Two measures of batting performance (batting average and slugging average) were employed. Results indicated broad support for the hypothesis. Reasons for this pattern are discussed, as are possible alternative explanations for these findings.     

A functional modulation for timing a movement: a coordinative structure in baseball hitting

In baseball hitting, a powerful bat-swing needs to be produced by utilizing ground reaction force (GRF) and it should also be temporally coordinated relative to the flight of the pitch. The temporal organization of hitting movements associated with these task requirements was investigated by analyzing GRF during hitting slow and fast pitches. The timing of stepping with a front foot and shifting weight forward was modulated relative to the pitch's speed. The temporal relation between successive motion phases was compensatory and timing variability progressively reduced up to ball-bat contact. These results demonstrated the coordinative structure of the hitting movement for timing the bat-swing relative to the pitch's flight.     

A Chaining-Mastery,Discrimination Training Program to Teach Little Leaguers to Hit a Baseball

One of two little league baseball teams, consisting of boys between the ages of 8 and 12, was taught to hit a baseball using a chaining-mastery program extrapolated from the "Total Golf" (Simek & O'Brien, 1981) program. Following two baseline games and a baseline measurement session, 10 of the 12 boys on the experimental team participated in a chaining-mastery batting program, beginning with slow pitches from close to the batter and progressing to normal speed pitches from the regulation distance. Both game performance and a repeat of the baseline measures following Game 6 showed large increases in the number of hits. The control team showed no such increases. Following Game 6, a program of discrimination training for hitable balls (strikes) was instituted with the experimental team using a mastery approach to produce earlier discriminations of strikes from balls. Number of bases on balls increased for Games 7 through 10 after remaining stable for the first 6 games. For the control team, bases on balls increased during Games 3 through 6, but remained stable for Games 7 through 10. Batting averages revealed similar improvement for the experimental team from a baseline of .250 to .342 for Games 3 through 6, and .369 for Games 7 through 10, and no improvement for the control team (baseline = .281, Games 3 through 6 = .230, Games 7 through 10 = .230). Two members of the experimental team rejected the chaining-discrimination training program in favor of practice in "guided positive fantasy" for batting skills, which was provided by the father of one of the boys. These two boys showed little improvement on the dependent measures. The results suggest that a program of chaining-mastery instruction for batting and discrimination training for pitch selection can be effective in teaching little leaguers to hit.     

Attending to the execution of a complex sensorimotor skill: expertise differences, choking, and slumps

A simulated baseball batting task was used to compare the relative effects of attending to extraneous information (tone frequency) and attending to skill execution (direction of bat movement) on performance and swing kinematics and to evaluate how these effects differ as a function of expertise. The extraneous dual task degraded batting performance in novices but had no significant effect on experts. The skill-focused dual task increased batting errors and movement variability for experts but had no significant effect on novices. For expert batters, accuracy in the skill-focused dual task was inversely related to the current level of performance. Expert batters were significantly more accurate in the skill-focused dual task when placed under pressure. These findings indicate that the attentional focus varies substantially across and within performers with different levels of expertise.     

Predicting athletic performance from cardiovascular indexes of challenge and threat

This study examined the relationship between pre-performance motivational states (challenge vs. threat) and subsequent performance in athletic competition. Prior to the season, college baseball and softball players imagined and gave a speech about a specific baseball/softball playing situation while cardiovascular indexes of challenge and threat were recorded. These physiological challenge/threat indexes significantly predicted athletic performance during the subsequent season, such that players who experienced challenge in the laboratory performed better relative to those who experienced threat. The implications for personnel selection and the biopsychosocial model of challenge and threat are discussed.     

An examination of the "hot hand" in professional golfers

A study investigated the "hot hand" among professional golfers. Hole-to-hole scores within 747 tournaments from a randomly chosen group of 35 players on the 1997 PGA Tour were analyzed. Contingency analyses gave no evidence for the "hot hand". Players were just as likely to score a birdie or better following a par or worse hole as make a birdie or better following a birdie or better hole. These results are consistent with those found for individual players in baseball and basketball.     

Acceptable timing error at ball-bat impact for different pitches and its implications for baseball skills

In baseball hitting, batters need high precision timing control to hit the ball with bat’s sweet spot. Knowing the acceptable range of timing error for hitting the ball in the aimed direction for various pitch types is helpful to understand whether the cause of the batter's mis-hit is a spatial or temporal error and highlight the motor skills required by the batter. The purpose of this study was to determine the acceptable timing error in different baseball pitches and the impact characteristics of mis-hits. Twenty-six high school baseball players hit a ball launched from a pitching machine with three types of pitches: fastballs, curveballs, and slowballs. We recorded the three-dimensional behavior of the ball, bat, and human body (pelvis) using an optical motion capture system. We then defined the optimal impact location based on timing accuracy, and determined the acceptable range of timing error by the interactive relationship between the horizontal orientation of the bat’s long axis at the time of ball impact and the horizontal direction of the batted ball. The ±30° width in the horizontal direction of the batted ball was set as the precondition for the tolerance of timing. The acceptable timing error was ±7.9 ms for fastballs, ±10.7 ms for curveballs, and ±10.7 ms for slowballs, and the optimal timing for outside pitches was approximately 10 ms later than that for inside pitches. The timing error was also explained 38.1% by variation in the impact location along the long axis of the bat (R² = 0.381, P < 0.001) and was minimized at a position close to the bat’s sweet spot. These results suggest that the optimal impact location and acceptable range of timing error depend on the pitching course and speed and that timing accuracy is essential to achieve the spatial accuracy required to hit the ball at the bat’s sweet spot.