Update app.R

app.R

@@ -34,7 +34,7 @@ build_pitcher_stats <- function(df, min_pitches) {
       IsPA      = (!is.na(KorBB) & KorBB %in% c("Strikeout","Walk")) |
                   (!is.na(PitchCall) & PitchCall %in% c("InPlay","HitByPitch"))
     ) %>%
-    group_by(Pitcher, Level, PitcherTeam) %>%
+    group_by(Pitcher, Level) %>%
     summarise(
       Pitches   = n(),
       K         = sum(IsK,       na.rm=TRUE),
@@ -64,10 +64,10 @@ build_pitcher_stats <- function(df, min_pitches) {
                         na.rm=TRUE),
       .groups   = "drop"
     ) %>%
-    ungroup() %>%
     filter(Pitches >= min_pitches) %>%
     mutate(
       Name        = sapply(Pitcher, format_name),
+      Team = first(PitcherTeam),
       `Zone%`     = round(zone_n    / Pitches            * 100, 1),
       `Strike%`   = round(strike_n  / Pitches            * 100, 1),
       `K's`       = K,
@@ -90,7 +90,7 @@ build_pitcher_stats <- function(df, min_pitches) {
       # must have both first and last name (at least one space)
       grepl(" ", trimws(Name))
     ) %>%
-    select(Name, Level, Team=PitcherTeam, Pitches, `FB Velo`, `Zone%`, `Strike%`,
+    select(Name, Level, Team, Pitches, `FB Velo`, `Zone%`, `Strike%`,
            `K's`, `BB's`, `K/BB`, `Whiff%`, `Chase%`, `Hard Hit%`) %>%
     arrange(desc(Pitches))
 }