职业棒球运动员守备表现的预测因素。

Predictors of fielding performance in professional baseball players.

机构信息

Inst of Exercise Physiology and Wellness, University of Central Florida, Orlando, FL, USA.

出版信息

Int J Sports Physiol Perform. 2013 Sep;8(5):510-6. doi: 10.1123/ijspp.8.5.510. Epub 2013 Jan 23.

DOI:10.1123/ijspp.8.5.510

PMID:23348012

Abstract

UNLABELLED

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, proagility, and vertical-jump mean (VJMP) and peak power (VJPP) were collected during spring training over the course of 5 seasons (2007-2011) for professional corner infielders (CI; n = 17, fielding opportunities = 420.7 ± 307.1), middle infielders (MI; n = 14, fielding opportunities = 497.3 ± 259.1), and outfielders (OF; n = 16, fielding opportunities = 227.9 ± 70.9). The relationships between these data and regular-season (100-opportunity minimum) fielding statistics were examined using Pearson correlation coefficients, while stepwise regression identified the single best predictor of UZR/150.

RESULTS

Significant correlations (P < .05) were observed between UZR/150 and body mass (r = .364), LBM (r = .396), VJPP (r = .397), and VJMP (r = .405). Of these variables, stepwise regression indicated VJMP (R = .405, SEE = 14.441, P = .005) as the single best predictor for all players, although the addition of proagility performance strengthened (R = .496, SEE = 13.865, P = .002) predictive ability by 8.3%. The best predictor for UZR/150 was body mass for CI (R = .519, SEE = 15.364, P = .033) and MI (R = .672, SEE = 12.331, P = .009), while proagility time was the best predictor for OF (R = .514, SEE = 8.850, P = .042).

CONCLUSIONS

Spring-training measurements of VJMP and proagility time may predict the defensive run value of a player over the course of a professional baseball season.

摘要

未加标签

终极区域评分推断（UZR/150）通过与联盟平均水平（150 场比赛）相比，在责任区域内以节省的跑动或成本来衡量防守表现。春季训练的人体测量学和表现测量指标先前与击球表现相关；然而，它们与防守表现测量指标的关系尚不清楚。

目的

检查专业棒球运动员的人体测量学和表现测量与防守表现之间的关系。

方法

在 5 个赛季（2007-2011 年）的春季训练期间，收集了职业角内野手（CI；n = 17，防守机会 = 420.7 ± 307.1）、中野手（MI；n = 14，防守机会 = 497.3 ± 259.1）和外野手（OF；n = 16，防守机会 = 227.9 ± 70.9）的身体质量、瘦体重（LBM）、握力、10 码冲刺、前向敏捷性、垂直跳跃均值（VJMP）和峰值功率（VJPP）。使用 Pearson 相关系数检查这些数据与常规赛（100 次机会最小值）防守统计数据之间的关系，而逐步回归则确定了 UZR/150 的最佳单一预测因子。

结果

观察到 UZR/150 与身体质量（r =.364）、LBM（r =.396）、VJPP（r =.397）和 VJMP（r =.405）之间存在显著相关性（P <.05）。在这些变量中，逐步回归表明 VJMP（R =.405，SEE = 14.441，P =.005）是所有球员的最佳单一预测因子，尽管增加了前向敏捷性表现可以增强（R =.496，SEE = 13.865，P =.002）预测能力 8.3%。CI（R =.519，SEE = 15.364，P =.033）和 MI（R =.672，SEE = 12.331，P =.009）的 UZR/150 的最佳预测因子是身体质量，而 OF 的最佳预测因子是前向敏捷性时间（R =.514，SEE = 8.850，P =.042）。