Table 1.

Effect of travel direction on the impact of jet lag on home and away winning and aggregate offensive performance

Home jet lagAway jet lag
OffenseWestWest P valueAverageEastEast P valueWestWest P valueAverageEastEast P value
Winning, %−0.02 ± 0.0160.1120.539 ± 0.002−0.035 ± 0.0190.0335*−0.01 ± 0.0130.22950.461 ± 0.002−0.021 ± 0.0150.075
Runs scored−0.098 ± 0.1040.1734.787 ± 0.015−0.15 ± 0.1210.1065−0.018 ± 0.0870.41654.652 ± 0.015−0.011 ± 0.0960.456
Batting average−0.001 ± 0.0030.3720.265 ± 0.0004−0.004 ± 0.0030.074−0.001 ± 0.0020.24250.254 ± 0.0003−0.001 ± 0.0020.408
On-base, %−0.001 ± 0.0030.4190.334 ± 0.0004−0.003 ± 0.0030.191−0.002 ± 0.0020.1950.319 ± 0.0004−0.00009 ± 0.0020.486
Slugging, %−0.002 ± 0.0050.3270.420 ± 0.0007−0.01 ± 0.0060.0415*−0.002 ± 0.0040.32150.400 ± 0.0007−0.001 ± 0.0040.412
  • Home and away jet lag show the regression coefficients indicating the effect of jet lag on home- and away-team offensive performance, respectively. Regression coefficients are adjusted for team effects. Parameters are expressed on a per-game basis with error indicating SE of the estimated effect. P values are one tailed, derived from the regression analysis testing whether jet lag adversely impacts performance.

  • * Metrics where P < 0.05. Average is over all 46,535 games.