Update app.R

app.R

@@ -74,7 +74,7 @@ is_barrel <- function(df) {
 apply_percentile_calcs <- function(data) {
   # List of columns to apply percent_rank
   percent_rank_cols <- c("Z-Con%", "Z-Swing%", "O-Con%", "Avg EV", "Max EV", "EV90", "Barrel%", "Swing%", "wOBA",
-                         "wOBACON","xwOBA","xwOBACON")
+                         "wOBACON","xwOBA","xDamage")
   
   # List of columns to apply inverse percent_rank
   inverse_percent_rank_cols <- c("Chase%", "Whiff%", "stdev(LA)", "SwStr%")
@@ -264,7 +264,7 @@ data <- is_barrel(MLBC) %>%
                        sum(Triple,na.rm = TRUE) * 1.59 + sum(`Home Run`,na.rm = TRUE) * 2.05 )/ 
                       sum(BBE,na.rm = TRUE), 3),
     xwOBA = round(mean(expected_woba,na.rm = TRUE), 3),
-    xwOBACON = round(mean(expected_woba[BBE == TRUE],na.rm = TRUE), 3),
+    xDamage = round(mean(expected_woba[BBE == TRUE],na.rm = TRUE), 3),
     `Avg EV` = round(mean(hit_speed,na.rm = TRUE), 1),
     EV90 = round(quantile(hit_speed,0.9,na.rm = TRUE), 1),
     `Max EV` = round(max(hit_speed,na.rm = TRUE), 1),