Update app.R

app.R

@@ -1069,28 +1069,6 @@ create_postgame_pdf <- function(game_df, player_name, output_file, bio_data = NU
 }
 
 
-# =====================================================================
-# TABLEAU-STYLE PITCHER POST-GAME REPORT - FIXED VERSION
-# =====================================================================
-# Fixes:
-# - Pitch type detection (handles "Undefined", empty, NA)
-# - Correct header colors matching screenshot
-# - Single row stats layout
-# - No labels in info row (just values)
-# - Smaller location chart, bigger release chart
-# =====================================================================
-
-# =====================================================================
-# TABLEAU-STYLE PITCHER POST-GAME REPORT - VERSION 3
-# =====================================================================
-# Changes from v2:
-# - Charts moved left and higher
-# - Location plot legend much smaller, zone positioned higher
-# - Tables farther right, bigger text, more compact
-# - Header stats: colored label text on white, white value background
-# - Only away team shown in header (no home team/pitcher team)
-# =====================================================================
-
 library(ggplot2)
 library(dplyr)
 library(grid)
@@ -1127,29 +1105,38 @@ process_tableau_pitcher_data <- function(df) {
     alt <- intersect(c("PitcherName","pitcher","Pitcher_LastFirst","PlayerName"), names(df))
     if (length(alt)) df$Pitcher <- df[[alt[1]]] else df$Pitcher <- NA_character_
   }
-  
+
   df <- df %>%
     mutate(Pitcher = str_replace(coalesce(Pitcher, ""), "^\\s*(\\w+)\\s*,\\s*(\\w+)\\s*$", "\\2 \\1"))
-  
+
   # Clean up TaggedPitchType
   if ("TaggedPitchType" %in% names(df)) {
     df <- df %>%
       mutate(
         TaggedPitchType = case_when(
-          is.na(TaggedPitchType) | TaggedPitchType == "" | TaggedPitchType == "Undefined" ~ 
-            ifelse("AutoPitchType" %in% names(df) & !is.na(AutoPitchType) & AutoPitchType != "" & AutoPitchType != "Undefined", 
-                   AutoPitchType, 
+          is.na(TaggedPitchType) | TaggedPitchType == "" | TaggedPitchType == "Undefined" ~
+            ifelse("AutoPitchType" %in% names(df) & !is.na(AutoPitchType) & AutoPitchType != "" & AutoPitchType != "Undefined",
+                   AutoPitchType,
                    ifelse("PitchType" %in% names(df) & !is.na(PitchType) & PitchType != "" & PitchType != "Undefined",
                           PitchType, "Undefined")),
           TRUE ~ TaggedPitchType
         )
       )
   }
-  
+
+  # Normalize a few common fastball spellings to improve color mapping consistency
+  df <- df %>%
+    mutate(
+      TaggedPitchType = case_when(
+        TaggedPitchType %in% c("FourSeamFastball","FourSeamFastBall","4-Seam","4-Seam Fast Ball","Four-Seam Fastball","4-Seam Fastball") ~ "Four-Seam",
+        TRUE ~ TaggedPitchType
+      )
+    )
+
   # Calculate indicators
   df <- df %>%
     mutate(
-      StrikeZoneIndicator = ifelse(PlateLocSide >= -0.8333 & PlateLocSide <= 0.8333 & 
+      StrikeZoneIndicator = ifelse(PlateLocSide >= -0.8333 & PlateLocSide <= 0.8333 &
                                      PlateLocHeight >= 1.5 & PlateLocHeight <= 3.5, 1, 0),
       EdgeHeightIndicator = ifelse((PlateLocHeight > 14/12 & PlateLocHeight < 22/12) |
                                      (PlateLocHeight > 38/12 & PlateLocHeight < 46/12), 1, 0),
@@ -1157,29 +1144,29 @@ process_tableau_pitcher_data <- function(df) {
       EdgeZoneWIndicator = ifelse(PlateLocSide > -13.4/12 & PlateLocSide < 13.4/12, 1, 0),
       EdgeWidthIndicator = ifelse((PlateLocSide > -13.3/12 & PlateLocSide < -6.7/12) |
                                     (PlateLocSide < 13.3/12 & PlateLocSide > 6.7/12), 1, 0),
-      EdgeIndicator = ifelse((EdgeHeightIndicator == 1 & EdgeZoneWIndicator == 1) | 
+      EdgeIndicator = ifelse((EdgeHeightIndicator == 1 & EdgeZoneWIndicator == 1) |
                                (EdgeWidthIndicator == 1 & EdgeZoneHtIndicator == 1), 1, 0),
       QualityPitchIndicator = ifelse(StrikeZoneIndicator == 1 | EdgeIndicator == 1, 1, 0),
-      StrikeIndicator = ifelse(PitchCall %in% c("StrikeSwinging", "StrikeCalled", 
-                                                  "FoulBallNotFieldable", "FoulBall", "InPlay"), 1, 0),
+      StrikeIndicator = ifelse(PitchCall %in% c("StrikeSwinging", "StrikeCalled",
+                                               "FoulBallNotFieldable", "FoulBall", "InPlay"), 1, 0),
       WhiffIndicator = ifelse(PitchCall == "StrikeSwinging", 1, 0),
-      SwingIndicator = ifelse(PitchCall %in% c("StrikeSwinging", "FoulBallNotFieldable", 
-                                                 "FoulBall", "InPlay"), 1, 0),
+      SwingIndicator = ifelse(PitchCall %in% c("StrikeSwinging", "FoulBallNotFieldable",
+                                              "FoulBall", "InPlay"), 1, 0),
       FPindicator = ifelse(Balls == 0 & Strikes == 0, 1, 0),
-      FPSindicator = ifelse(PitchCall %in% c("StrikeCalled", "StrikeSwinging", 
-                                               "FoulBallNotFieldable", "FoulBall", "InPlay") & 
+      FPSindicator = ifelse(PitchCall %in% c("StrikeCalled", "StrikeSwinging",
+                                            "FoulBallNotFieldable", "FoulBall", "InPlay") &
                               FPindicator == 1, 1, 0),
-      AheadIndicator = ifelse(((Balls == 0 & Strikes == 1) | (Balls == 1 & Strikes == 1)) & 
+      AheadIndicator = ifelse(((Balls == 0 & Strikes == 1) | (Balls == 1 & Strikes == 1)) &
                                 StrikeIndicator == 1, 1, 0),
-      ABindicator = ifelse(PlayResult %in% c("Error", "FieldersChoice", "Out", 
-                                               "Single", "Double", "Triple", "HomeRun") | 
+      ABindicator = ifelse(PlayResult %in% c("Error", "FieldersChoice", "Out",
+                                            "Single", "Double", "Triple", "HomeRun") |
                              KorBB == "Strikeout", 1, 0),
       HitIndicator = ifelse(PlayResult %in% c("Single", "Double", "Triple", "HomeRun"), 1, 0),
-      PAindicator = ifelse(PitchCall %in% c("InPlay", "HitByPitch", "CatchersInterference") | 
+      PAindicator = ifelse(PitchCall %in% c("InPlay", "HitByPitch", "CatchersInterference") |
                              KorBB %in% c("Walk", "Strikeout"), 1, 0),
-      LeadOffIndicator = ifelse((PAofInning == 1 & (PlayResult != "Undefined" | KorBB != "Undefined")) | 
+      LeadOffIndicator = ifelse((PAofInning == 1 & (PlayResult != "Undefined" | KorBB != "Undefined")) |
                                   PitchCall == "HitByPitch", 1, 0),
-      OutIndicator = ifelse((PlayResult %in% c("Out", "FieldersChoice") | KorBB == "Strikeout") & 
+      OutIndicator = ifelse((PlayResult %in% c("Out", "FieldersChoice") | KorBB == "Strikeout") &
                               PitchCall != "HitByPitch", 1, 0),
       LOOindicator = ifelse(LeadOffIndicator == 1 & OutIndicator == 1, 1, 0),
       HBPIndicator = ifelse(PitchCall == "HitByPitch", 1, 0),
@@ -1187,7 +1174,7 @@ process_tableau_pitcher_data <- function(df) {
       LHHindicator = ifelse(BatterSide == "Left", 1, 0),
       RHHindicator = ifelse(BatterSide == "Right", 1, 0)
     )
-  
+
   df
 }
 
@@ -1195,48 +1182,48 @@ process_tableau_pitcher_data <- function(df) {
 # HEADER STATISTICS
 # =====================================================================
 calculate_tableau_header_stats <- function(pitcher_df) {
-  ab_data <- pitcher_df %>% 
+  ab_data <- pitcher_df %>%
     filter(ABindicator == 1) %>%
-    group_by(Inning, Batter, PAofInning) %>% 
-    slice_tail(n = 1) %>% 
+    group_by(Inning, Batter, PAofInning) %>%
+    slice_tail(n = 1) %>%
     ungroup()
-  
+
   at_bats <- nrow(ab_data)
   hits <- sum(ab_data$HitIndicator, na.rm = TRUE)
   xbh <- sum(ab_data$PlayResult %in% c("Double", "Triple", "HomeRun"), na.rm = TRUE)
   runs <- sum(pitcher_df$RunsScored, na.rm = TRUE)
-  
-  pa_data <- pitcher_df %>% 
+
+  pa_data <- pitcher_df %>%
     filter(PAindicator == 1) %>%
-    group_by(Inning, Batter, PAofInning) %>% 
-    slice_tail(n = 1) %>% 
+    group_by(Inning, Batter, PAofInning) %>%
+    slice_tail(n = 1) %>%
     ungroup()
-  
+
   bb <- sum(pa_data$WalkIndicator, na.rm = TRUE)
   hbp <- sum(pa_data$HBPIndicator, na.rm = TRUE)
   so <- sum(pa_data$KorBB == "Strikeout", na.rm = TRUE)
-  
+
   avg <- ifelse(at_bats > 0, round(hits / at_bats, 3), 0)
-  
+
   total_pitches <- nrow(pitcher_df)
-  strike_pct <- ifelse(total_pitches > 0, 
+  strike_pct <- ifelse(total_pitches > 0,
                        round(100 * sum(pitcher_df$StrikeIndicator, na.rm = TRUE) / total_pitches, 0), 0)
-  
+
   fp_pitches <- sum(pitcher_df$FPindicator, na.rm = TRUE)
-  fp_k_pct <- ifelse(fp_pitches > 0, 
+  fp_k_pct <- ifelse(fp_pitches > 0,
                      round(100 * sum(pitcher_df$FPSindicator, na.rm = TRUE) / fp_pitches, 0), 0)
-  
-  ea_pct <- ifelse(fp_pitches > 0, 
-                   round(100 * (sum(pitcher_df$FPSindicator, na.rm = TRUE) + 
+
+  ea_pct <- ifelse(fp_pitches > 0,
+                   round(100 * (sum(pitcher_df$FPSindicator, na.rm = TRUE) +
                                   sum(pitcher_df$AheadIndicator & pitcher_df$Balls == 0, na.rm = TRUE)) / fp_pitches, 0), 0)
-  
-  comp_pct <- ifelse(total_pitches > 0, 
+
+  comp_pct <- ifelse(total_pitches > 0,
                      round(100 * sum(pitcher_df$QualityPitchIndicator, na.rm = TRUE) / total_pitches, 0), 0)
-  
+
   leadoff_opps <- sum(pitcher_df$LeadOffIndicator, na.rm = TRUE)
-  loo_pct <- ifelse(leadoff_opps > 0, 
+  loo_pct <- ifelse(leadoff_opps > 0,
                     round(100 * sum(pitcher_df$LOOindicator, na.rm = TRUE) / leadoff_opps, 0), 0)
-  
+
   list(
     at_bats = at_bats, hits = hits, xbh = xbh, runs = runs,
     bb_hbp = bb + hbp, so = so,
@@ -1257,11 +1244,11 @@ get_valid_pitch_types <- function(pitcher_df) {
     filter(!is.na(TaggedPitchType), TaggedPitchType != "") %>%
     pull(TaggedPitchType) %>%
     unique()
-  
+
   if (length(valid_types) == 1 && valid_types[1] == "Undefined") {
     return(valid_types)
   }
-  
+
   filter_types <- valid_types[valid_types != "Undefined" & valid_types != "Other"]
   if (length(filter_types) == 0) return("Undefined")
   filter_types
@@ -1269,7 +1256,7 @@ get_valid_pitch_types <- function(pitcher_df) {
 
 calculate_tableau_location_data <- function(pitcher_df) {
   filter_types <- get_valid_pitch_types(pitcher_df)
-  
+
   pitcher_df %>%
     filter(TaggedPitchType %in% filter_types) %>%
     group_by(TaggedPitchType) %>%
@@ -1278,8 +1265,8 @@ calculate_tableau_location_data <- function(pitcher_df) {
       `Edge%` = paste0(round(100 * sum(EdgeIndicator, na.rm = TRUE) / n(), 0), "%"),
       `Strike%` = paste0(round(100 * sum(StrikeIndicator, na.rm = TRUE) / n(), 0), "%"),
       `Whiff%` = ifelse(sum(SwingIndicator, na.rm = TRUE) > 0,
-                        paste0(round(100 * sum(WhiffIndicator, na.rm = TRUE) / sum(SwingIndicator, na.rm = TRUE), 0), "%"),
-                        "0%"),
+                       paste0(round(100 * sum(WhiffIndicator, na.rm = TRUE) / sum(SwingIndicator, na.rm = TRUE), 0), "%"),
+                       "0%"),
       .groups = "drop"
     )
 }
@@ -1288,7 +1275,7 @@ calculate_tableau_pitch_usage <- function(pitcher_df) {
   lhh_pitches <- sum(pitcher_df$LHHindicator, na.rm = TRUE)
   rhh_pitches <- sum(pitcher_df$RHHindicator, na.rm = TRUE)
   filter_types <- get_valid_pitch_types(pitcher_df)
-  
+
   pitcher_df %>%
     filter(TaggedPitchType %in% filter_types) %>%
     group_by(TaggedPitchType) %>%
@@ -1302,7 +1289,7 @@ calculate_tableau_pitch_usage <- function(pitcher_df) {
 
 calculate_tableau_velo_movement <- function(pitcher_df) {
   filter_types <- get_valid_pitch_types(pitcher_df)
-  
+
   pitcher_df %>%
     filter(TaggedPitchType %in% filter_types) %>%
     group_by(TaggedPitchType) %>%
@@ -1318,12 +1305,12 @@ calculate_tableau_velo_movement <- function(pitcher_df) {
 }
 
 calculate_tableau_release_data <- function(pitcher_df) {
-  primary <- pitcher_df %>% 
+  primary <- pitcher_df %>%
     filter(TaggedPitchType %in% c("Fastball", "Sinker", "Four-Seam", "FourSeamFastBall"))
   fb_ht <- if (nrow(primary) > 0) mean(primary$RelHeight, na.rm = TRUE) else NA
   fb_side <- if (nrow(primary) > 0) mean(primary$RelSide, na.rm = TRUE) else NA
   filter_types <- get_valid_pitch_types(pitcher_df)
-  
+
   pitcher_df %>%
     filter(TaggedPitchType %in% filter_types) %>%
     group_by(TaggedPitchType) %>%
@@ -1338,11 +1325,11 @@ calculate_tableau_release_data <- function(pitcher_df) {
 }
 
 # =====================================================================
-# LOCATION PLOT - Smaller legend, zone higher
+# LOCATION PLOT
 # =====================================================================
 create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
   filter_types <- get_valid_pitch_types(pitcher_df)
-  
+
   df <- pitcher_df %>%
     filter(TaggedPitchType %in% filter_types,
            !is.na(PlateLocSide), !is.na(PlateLocHeight)) %>%
@@ -1362,42 +1349,40 @@ create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
         TRUE ~ "Other"
       )
     )
-  
+
   if (nrow(df) == 0) {
-    return(ggplot() + theme_void() + 
+    return(ggplot() + theme_void() +
              labs(title = "Location Report") +
              theme(plot.title = element_text(size = 12, face = "bold", hjust = 0.5)))
   }
-  
+
   zone_left <- -0.8333; zone_right <- 0.8333
   zone_bottom <- 1.5; zone_top <- 3.5
   shadow_left <- -1.1; shadow_right <- 1.1
   shadow_bottom <- 1.2; shadow_top <- 3.8
   zone_width <- (zone_right - zone_left) / 3
   zone_height <- (zone_top - zone_bottom) / 3
-  
-  p <- ggplot(df, aes(x = PlateLocSide, y = PlateLocHeight)) +
-    annotate("rect", xmin = shadow_left, xmax = shadow_right, 
-             ymin = shadow_bottom, ymax = shadow_top, 
+
+  ggplot(df, aes(x = PlateLocSide, y = PlateLocHeight)) +
+    annotate("rect", xmin = shadow_left, xmax = shadow_right,
+             ymin = shadow_bottom, ymax = shadow_top,
              fill = NA, color = "gray30", linetype = "dashed", linewidth = 0.5) +
-    annotate("rect", xmin = zone_left, xmax = zone_right, 
-             ymin = zone_bottom, ymax = zone_top, 
+    annotate("rect", xmin = zone_left, xmax = zone_right,
+             ymin = zone_bottom, ymax = zone_top,
              fill = NA, color = "#E74C3C", linewidth = 1) +
     annotate("segment", x = zone_left + zone_width, xend = zone_left + zone_width,
              y = zone_bottom, yend = zone_top, color = "gray50", linetype = "dashed", linewidth = 0.3) +
     annotate("segment", x = zone_left + 2*zone_width, xend = zone_left + 2*zone_width,
              y = zone_bottom, yend = zone_top, color = "gray50", linetype = "dashed", linewidth = 0.3) +
     annotate("segment", x = zone_left, xend = zone_right,
-             y = zone_bottom + zone_height, yend = zone_bottom + zone_height, 
+             y = zone_bottom + zone_height, yend = zone_bottom + zone_height,
              color = "gray50", linetype = "dashed", linewidth = 0.3) +
     annotate("segment", x = zone_left, xend = zone_right,
-             y = zone_bottom + 2*zone_height, yend = zone_bottom + 2*zone_height, 
+             y = zone_bottom + 2*zone_height, yend = zone_bottom + 2*zone_height,
              color = "gray50", linetype = "dashed", linewidth = 0.3) +
-    # Home plate
-    annotate("polygon", x = c(-0.708, 0.708, 0.708, 0, -0.708), 
+    annotate("polygon", x = c(-0.708, 0.708, 0.708, 0, -0.708),
              y = c(0.15, 0.15, 0.30, 0.50, 0.30), fill = NA, color = "black", linewidth = 0.5) +
-    # Center line
-    annotate("segment", x = 0, xend = 0, y = 0.5, yend = shadow_top + 0.2, 
+    annotate("segment", x = 0, xend = 0, y = 0.5, yend = shadow_top + 0.2,
              color = "gray60", linetype = "dotted", linewidth = 0.3) +
     geom_point(aes(color = TaggedPitchType, shape = ResultDisplay), size = 2.5, stroke = 0.8) +
     scale_color_manual(values = pitch_colors, name = "Pitch") +
@@ -1411,14 +1396,14 @@ create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
     labs(title = "Location Report") +
     theme_minimal() +
     theme(
-      plot.title = element_text(size = 9, face = "bold", hjust = 0.5),
+      plot.title = element_text(size = 12, face = "bold", hjust = 0.5),
       legend.position = "left",
-      legend.title = element_text(size = 5, face = "bold"),
-      legend.text = element_text(size = 4),
-      legend.key.size = unit(0.3, "cm"),
-      legend.spacing.y = unit(0.05, "cm"),
+      legend.title = element_text(size = 7, face = "bold"),
+      legend.text = element_text(size = 6),
+      legend.key.size = unit(0.45, "cm"),
+      legend.spacing.y = unit(0.08, "cm"),
       legend.margin = margin(0, 0, 0, 0),
-      legend.box.margin = margin(0, -5, 0, -10),
+      legend.box.margin = margin(0, -4, 0, -6),
       axis.text = element_blank(),
       axis.title = element_blank(),
       axis.ticks = element_blank(),
@@ -1426,15 +1411,13 @@ create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
       plot.margin = margin(2, 2, 2, 2)
     ) +
     guides(
-      color = guide_legend(override.aes = list(size = 2), ncol = 1),
-      shape = guide_legend(override.aes = list(size = 2), ncol = 1)
+      color = guide_legend(override.aes = list(size = 3), ncol = 1),
+      shape = guide_legend(override.aes = list(size = 3), ncol = 1)
     )
-  
-  p
 }
 
 # =====================================================================
-# MOVEMENT PLOT
+# MOVEMENT PLOT (FILLED POINTS = PITCH COLORS)
 # =====================================================================
 create_tableau_movement_plot <- function(pitcher_df, pitch_colors) {
   filter_types <- get_valid_pitch_types(pitcher_df)
@@ -1452,7 +1435,6 @@ create_tableau_movement_plot <- function(pitcher_df, pitch_colors) {
   ggplot(df, aes(x = HorzBreak, y = InducedVertBreak)) +
     geom_vline(xintercept = 0, color = "black", linewidth = 0.4) +
     geom_hline(yintercept = 0, color = "black", linewidth = 0.4) +
-    # shape 21 uses fill for the inside color
     geom_point(aes(fill = TaggedPitchType), size = 4, alpha = 1,
                shape = 21, color = "black", stroke = 0.9) +
     scale_fill_manual(values = pitch_colors, drop = FALSE) +
@@ -1469,7 +1451,7 @@ create_tableau_movement_plot <- function(pitcher_df, pitch_colors) {
 }
 
 # =====================================================================
-# RELEASE PLOT
+# RELEASE PLOT (FILLED POINTS = PITCH COLORS)
 # =====================================================================
 create_tableau_release_plot <- function(pitcher_df, pitch_colors) {
   filter_types <- get_valid_pitch_types(pitcher_df)
@@ -1513,57 +1495,47 @@ create_tableau_release_plot <- function(pitcher_df, pitch_colors) {
 }
 
 # =====================================================================
-# TABLE DRAWING (BIG + AUTO-SCALED TO FILL A RECTANGLE)
+# TABLE DRAWING (AUTO-SCALED, BUT NOT TOO HUGE)
 # =====================================================================
 draw_tableau_table_fill <- function(
   title,
   data,
-  rows,                 # a named vector: names = display label, values = column name in `data`
+  rows,                 # named vector: display label -> column name in `data`
   pitch_types,
   pitch_colors,
-  x, y,                 # TOP-LEFT anchor of the table block (npc)
-  width, height         # size of the table block (npc)
+  x, y,                 # TOP-LEFT anchor (npc)
+  width, height         # size (npc)
 ) {
   if (is.null(pitch_types) || length(pitch_types) == 0) pitch_types <- "Undefined"
 
   n_cols <- length(pitch_types)
-  n_rows <- length(rows) + 1  # +1 header row
+  n_rows <- length(rows) + 1
 
-  # Leave some space for the title
-  title_h <- min(0.06, height * 0.20)
+  title_h <- min(0.05, height * 0.18)
   table_top <- y - title_h
   table_h <- height - title_h
 
   col_w <- width / n_cols
   row_h <- table_h / n_rows
 
-  # Scale font to row height (tuned for letter portrait)
-  header_cex <- max(0.9, min(1.6, row_h * 28))
-  body_cex   <- max(0.85, min(1.5, row_h * 26))
-  label_cex  <- max(0.85, min(1.5, row_h * 26))
-  title_cex  <- max(1.1, min(1.9, row_h * 30))
-
-  # Title
-  grid.text(
-    title,
-    x = x + width/2,
-    y = y,
-    gp = gpar(fontface = "bold", cex = title_cex, col = "#006F71")
-  )
+  # Slightly reduced scaling so it doesn't blow up
+  header_cex <- max(0.75, min(1.25, row_h * 24))
+  body_cex   <- max(0.70, min(1.15, row_h * 22))
+  label_cex  <- max(0.70, min(1.15, row_h * 22))
+  title_cex  <- max(0.95, min(1.35, row_h * 26))
 
-  # Column headers (pitch types)
+  grid.text(title, x = x + width/2, y = y,
+            gp = gpar(fontface = "bold", cex = title_cex, col = "#006F71"))
+
+  # headers
   for (i in seq_along(pitch_types)) {
     pt <- pitch_types[i]
     col_color <- if (pt %in% names(pitch_colors)) pitch_colors[[pt]] else "#95A5A6"
 
-    grid.rect(
-      x = x + (i-1)*col_w,
-      y = table_top,
-      width = col_w * 0.98,
-      height = row_h * 0.95,
-      just = c("left", "top"),
-      gp = gpar(fill = col_color, col = "gray30", lwd = 0.6)
-    )
+    grid.rect(x = x + (i-1)*col_w, y = table_top,
+              width = col_w * 0.98, height = row_h * 0.95,
+              just = c("left", "top"),
+              gp = gpar(fill = col_color, col = "gray30", lwd = 0.6))
 
     pt_short <- pt
     pt_short <- gsub("ChangeUp|Changeup", "CH", pt_short)
@@ -1575,15 +1547,13 @@ draw_tableau_table_fill <- function(
     pt_short <- gsub("Splitter", "SP", pt_short)
     pt_short <- gsub("Sweeper", "SW", pt_short)
 
-    grid.text(
-      pt_short,
-      x = x + (i-1)*col_w + col_w/2,
-      y = table_top - row_h*0.48,
-      gp = gpar(col = "white", cex = header_cex, fontface = "bold")
-    )
+    grid.text(pt_short,
+              x = x + (i-1)*col_w + col_w/2,
+              y = table_top - row_h*0.55,
+              gp = gpar(col = "white", cex = header_cex, fontface = "bold"))
   }
 
-  # Data rows
+  # rows
   row_names <- names(rows)
   col_names <- as.character(rows)
 
@@ -1592,14 +1562,11 @@ draw_tableau_table_fill <- function(
     coln <- col_names[r]
     y_row_top <- table_top - r*row_h
 
-    # Row label on the left (slightly outside the block)
-    grid.text(
-      disp,
-      x = x - 0.010,
-      y = y_row_top - row_h*0.55,
-      just = "right",
-      gp = gpar(cex = label_cex, fontface = "bold")
-    )
+    grid.text(disp,
+              x = x - 0.010,
+              y = y_row_top - row_h*0.55,
+              just = "right",
+              gp = gpar(cex = label_cex, fontface = "bold"))
 
     for (i in seq_along(pitch_types)) {
       pt <- pitch_types[i]
@@ -1610,25 +1577,172 @@ draw_tableau_table_fill <- function(
         val <- as.character(data[[coln]][idx[1]])
       }
 
-      grid.rect(
-        x = x + (i-1)*col_w,
-        y = y_row_top,
-        width = col_w * 0.98,
-        height = row_h * 0.95,
-        just = c("left", "top"),
-        gp = gpar(fill = "white", col = "gray40", lwd = 0.6)
-      )
+      grid.rect(x = x + (i-1)*col_w, y = y_row_top,
+                width = col_w * 0.98, height = row_h * 0.95,
+                just = c("left", "top"),
+                gp = gpar(fill = "white", col = "gray40", lwd = 0.6))
 
-      grid.text(
-        val,
-        x = x + (i-1)*col_w + col_w/2,
-        y = y_row_top - row_h*0.55,
-        gp = gpar(cex = body_cex, fontface = "plain")
-      )
+      grid.text(val,
+                x = x + (i-1)*col_w + col_w/2,
+                y = y_row_top - row_h*0.55,
+                gp = gpar(cex = body_cex))
     }
   }
 }
 
+# =====================================================================
+# MAIN PDF FUNCTION
+# =====================================================================
+create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
+  if (length(dev.list()) > 0) try(dev.off(), silent = TRUE)
+
+  pitcher_df <- process_tableau_pitcher_data(game_df) %>%
+    filter(Pitcher == pitcher_name)
+
+  if (nrow(pitcher_df) == 0) {
+    pdf(output_file, width = 8.5, height = 11)
+    grid.newpage()
+    grid.text(paste("No data found for", pitcher_name),
+              gp = gpar(fontsize = 16, fontface = "bold"))
+    dev.off()
+    return(output_file)
+  }
+
+  game_date <- tryCatch({
+    d <- unique(pitcher_df$Date)[1]
+    if (inherits(d, "Date")) format(d, "%m/%d/%Y") else as.character(d)
+  }, error = function(e) "NA")
+
+  batter_teams <- unique(pitcher_df$BatterTeam)
+  batter_teams <- batter_teams[!is.na(batter_teams)]
+  away_team <- if (length(batter_teams) > 0) batter_teams[1] else "Unknown"
+
+  stats <- calculate_tableau_header_stats(pitcher_df)
+  loc_data <- calculate_tableau_location_data(pitcher_df)
+  usage_data <- calculate_tableau_pitch_usage(pitcher_df)
+  velo_data <- calculate_tableau_velo_movement(pitcher_df)
+  rel_data <- calculate_tableau_release_data(pitcher_df)
+
+  pitch_types <- unique(c(loc_data$TaggedPitchType, usage_data$TaggedPitchType))
+  pitch_types <- pitch_types[!is.na(pitch_types) & pitch_types != ""]
+  if (length(pitch_types) == 0) pitch_types <- "Undefined"
+
+  loc_plot <- create_tableau_location_plot(pitcher_df, tableau_pitch_colors)
+  mov_plot <- create_tableau_movement_plot(pitcher_df, tableau_pitch_colors)
+  rel_plot <- create_tableau_release_plot(pitcher_df, tableau_pitch_colors)
+
+  pdf(output_file, width = 8.5, height = 11)
+  on.exit(try(dev.off(), silent = TRUE), add = TRUE)
+
+  grid.newpage()
+
+  # HEADER BAR
+  grid.rect(x = 0, y = 0.955, width = 1, height = 0.045,
+            just = c("left", "bottom"),
+            gp = gpar(fill = "#006F71", col = NA))
+
+  grid.text("Pitcher Post-Game Report", x = 0.02, y = 0.977, just = "left",
+            gp = gpar(col = "white", fontface = "bold", cex = 1.2))
+
+  # INFO ROW
+  info_y <- 0.935
+  grid.text(paste0(game_date, "   |   ", pitcher_name, "   vs   ", away_team),
+            x = 0.02, y = info_y, just = "left",
+            gp = gpar(cex = 0.8, fontface = "bold"))
+
+  # STAT BOXES (BIGGER)
+  stat_labels <- c("At Bats", "H", "XBH", "R", "BB/HBP", "SO", "AVG",
+                   "Strike%", "1st P K%", "E+A%", "Comp%", "LOO%")
+  stat_values <- c(stats$at_bats, stats$hits, stats$xbh, stats$runs,
+                   stats$bb_hbp, stats$so, stats$avg,
+                   stats$strike_pct, stats$fp_k_pct, stats$ea_pct,
+                   stats$comp_pct, stats$loo_pct)
+
+  label_colors <- c("#E74C3C", "#3498DB", "#3498DB", "#27AE60", "#27AE60", "#27AE60", "#00BCD4",
+                    "#E67E22", "#E67E22", "#E67E22", "#E67E22", "#E67E22")
+
+  box_y <- 0.895
+  box_w <- 0.072
+  box_h <- 0.050
+  x_start <- 0.02
+  x_gap  <- 0.010
+
+  for (i in 1:12) {
+    x_pos <- x_start + (i-1) * (box_w + x_gap)
+
+    grid.rect(x = x_pos, y = box_y, width = box_w, height = box_h,
+              just = c("left", "center"),
+              gp = gpar(fill = "white", col = label_colors[i], lwd = 2))
+
+    grid.text(stat_labels[i], x = x_pos + box_w/2, y = box_y + 0.015,
+              gp = gpar(col = label_colors[i], cex = 0.55, fontface = "bold"))
+
+    grid.text(as.character(stat_values[i]), x = x_pos + box_w/2, y = box_y - 0.010,
+              gp = gpar(col = "black", cex = 0.80, fontface = "bold"))
+  }
+
+  # CHARTS (Location directly under stats; similar sizing)
+  pushViewport(viewport(x = 0.23, y = 0.66, width = 0.42, height = 0.30))
+  print(loc_plot, newpage = FALSE)
+  popViewport()
+
+  pushViewport(viewport(x = 0.23, y = 0.37, width = 0.40, height = 0.24))
+  print(mov_plot, newpage = FALSE)
+  popViewport()
+
+  pushViewport(viewport(x = 0.23, y = 0.13, width = 0.42, height = 0.24))
+  print(rel_plot, newpage = FALSE)
+  popViewport()
+
+  # TABLES (Top third = Location + Usage; middle = Velo; bottom = Release)
+  table_x <- 0.56
+  table_w <- 0.41
+
+  draw_tableau_table_fill(
+    title = "Location Data",
+    data = loc_data,
+    rows = c("Zone%"="Zone%", "Edge%"="Edge%", "Strike%"="Strike%", "Whiff%"="Whiff%"),
+    pitch_types = pitch_types,
+    pitch_colors = tableau_pitch_colors,
+    x = table_x, y = 0.78, width = table_w, height = 0.16
+  )
+
+  draw_tableau_table_fill(
+    title = "Pitch Usage",
+    data = usage_data,
+    rows = c("Usage vs. LHH"="Usage vs. LHH", "Usage vs. RHH"="Usage vs. RHH", "Pitch Count"="Pitch Count"),
+    pitch_types = pitch_types,
+    pitch_colors = tableau_pitch_colors,
+    x = table_x, y = 0.60, width = table_w, height = 0.14
+  )
+
+  draw_tableau_table_fill(
+    title = "Velo & Movement",
+    data = velo_data,
+    rows = c("Avg. Velo"="Avg. Velo", "Max Velo"="Max. Velo",
+             "Avg. Spin"="Avg. Spin", "Max Spin"="Max. Spin",
+             "Avg. IVB"="Avg. IVB", "Avg. HB"="Avg. HB"),
+    pitch_types = pitch_types,
+    pitch_colors = tableau_pitch_colors,
+    x = table_x, y = 0.42, width = table_w, height = 0.20
+  )
+
+  draw_tableau_table_fill(
+    title = "Release Data",
+    data = rel_data,
+    rows = c("Rel Ht"="Avg. Rel Ht",
+             "Rel Ht vs FB (in)"="Rel Ht vs. FB",
+             "Rel Side"="Avg. Rel Side",
+             "Rel Side vs FB (in)"="Rel Side vs. FB",
+             "Ext"="Avg. Ext"),
+    pitch_types = pitch_types,
+    pitch_colors = tableau_pitch_colors,
+    x = table_x, y = 0.20, width = table_w, height = 0.22
+  )
+
+  invisible(output_file)
+}
+
 
 # =====================================================================
 # MAIN PDF FUNCTION