Update app.R

app.R

@@ -1065,6 +1065,15 @@ create_postgame_pdf <- function(game_df, player_name, output_file, bio_data = NU
 }
 
 
+# ============================================================
+# PITCHER POST-GAME PDF (Tableau-style)
+# Fixes:
+#  - Header stat tiles: bigger + more readable + moved slightly DOWN
+#  - Tables: bigger numbers
+#  - Pitch columns always ordered by pitch usage (Pitch Count desc)
+#  - Table stack spacing fixed so "Release Data" title does NOT overlap Velo table
+# ============================================================
+
 library(ggplot2)
 library(dplyr)
 library(grid)
@@ -1120,7 +1129,7 @@ process_tableau_pitcher_data <- function(df) {
       )
   }
 
-  # Normalize a few common fastball spellings to improve color mapping consistency
+  # Normalize common FB spellings (for colors + grouping)
   df <- df %>%
     mutate(
       TaggedPitchType = case_when(
@@ -1129,53 +1138,41 @@ process_tableau_pitcher_data <- function(df) {
       )
     )
 
-  # Calculate indicators
-  df <- df %>%
+  # Indicators
+  df %>%
     mutate(
       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),
       EdgeZoneHtIndicator = ifelse(PlateLocHeight > 16/12 & PlateLocHeight < 45.2/12, 1, 0),
-      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),
+      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) |
                                (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),
-      WhiffIndicator = ifelse(PitchCall == "StrikeSwinging", 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") &
-                              FPindicator == 1, 1, 0),
-      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") |
-                             KorBB == "Strikeout", 1, 0),
-      HitIndicator = ifelse(PlayResult %in% c("Single", "Double", "Triple", "HomeRun"), 1, 0),
-      PAindicator = ifelse(PitchCall %in% c("InPlay", "HitByPitch", "CatchersInterference") |
-                             KorBB %in% c("Walk", "Strikeout"), 1, 0),
-      LeadOffIndicator = ifelse((PAofInning == 1 & (PlayResult != "Undefined" | KorBB != "Undefined")) |
-                                  PitchCall == "HitByPitch", 1, 0),
-      OutIndicator = ifelse((PlayResult %in% c("Out", "FieldersChoice") | KorBB == "Strikeout") &
-                              PitchCall != "HitByPitch", 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),
+      FPindicator  = ifelse(Balls == 0 & Strikes == 0, 1, 0),
+      FPSindicator = ifelse(PitchCall %in% c("StrikeCalled","StrikeSwinging","FoulBallNotFieldable","FoulBall","InPlay") & FPindicator == 1, 1, 0),
+      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") | KorBB == "Strikeout", 1, 0),
+      HitIndicator = ifelse(PlayResult %in% c("Single","Double","Triple","HomeRun"), 1, 0),
+      PAindicator  = ifelse(PitchCall %in% c("InPlay","HitByPitch","CatchersInterference") | KorBB %in% c("Walk","Strikeout"), 1, 0),
+      LeadOffIndicator = ifelse((PAofInning == 1 & (PlayResult != "Undefined" | KorBB != "Undefined")) | PitchCall == "HitByPitch", 1, 0),
+      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),
+      HBPIndicator  = ifelse(PitchCall == "HitByPitch", 1, 0),
       WalkIndicator = ifelse(KorBB == "Walk", 1, 0),
-      LHHindicator = ifelse(BatterSide == "Left", 1, 0),
-      RHHindicator = ifelse(BatterSide == "Right", 1, 0)
+      LHHindicator  = ifelse(BatterSide == "Left", 1, 0),
+      RHHindicator  = ifelse(BatterSide == "Right", 1, 0)
     )
-
-  df
 }
 
 # =====================================================================
-# HEADER STATISTICS
+# HEADER STATS
 # =====================================================================
 calculate_tableau_header_stats <- function(pitcher_df) {
   ab_data <- pitcher_df %>%
@@ -1186,7 +1183,7 @@ calculate_tableau_header_stats <- function(pitcher_df) {
 
   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)
+  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 %>%
@@ -1195,9 +1192,9 @@ calculate_tableau_header_stats <- function(pitcher_df) {
     slice_tail(n = 1) %>%
     ungroup()
 
-  bb <- sum(pa_data$WalkIndicator, na.rm = TRUE)
+  bb  <- sum(pa_data$WalkIndicator, na.rm = TRUE)
   hbp <- sum(pa_data$HBPIndicator, na.rm = TRUE)
-  so <- sum(pa_data$KorBB == "Strikeout", na.rm = TRUE)
+  so  <- sum(pa_data$KorBB == "Strikeout", na.rm = TRUE)
 
   avg <- ifelse(at_bats > 0, round(hits / at_bats, 3), 0)
 
@@ -1233,7 +1230,7 @@ calculate_tableau_header_stats <- function(pitcher_df) {
 }
 
 # =====================================================================
-# TABLE CALCULATIONS
+# TABLE CALCS
 # =====================================================================
 get_valid_pitch_types <- function(pitcher_df) {
   valid_types <- pitcher_df %>%
@@ -1241,9 +1238,7 @@ get_valid_pitch_types <- function(pitcher_df) {
     pull(TaggedPitchType) %>%
     unique()
 
-  if (length(valid_types) == 1 && valid_types[1] == "Undefined") {
-    return(valid_types)
-  }
+  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")
@@ -1257,12 +1252,12 @@ calculate_tableau_location_data <- function(pitcher_df) {
     filter(TaggedPitchType %in% filter_types) %>%
     group_by(TaggedPitchType) %>%
     summarise(
-      `Zone%` = paste0(round(100 * sum(StrikeZoneIndicator, na.rm = TRUE) / n(), 0), "%"),
-      `Edge%` = paste0(round(100 * sum(EdgeIndicator, na.rm = TRUE) / n(), 0), "%"),
+      `Zone%`   = paste0(round(100 * sum(StrikeZoneIndicator, na.rm = TRUE) / n(), 0), "%"),
+      `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%"),
+      `Whiff%`  = ifelse(sum(SwingIndicator, na.rm = TRUE) > 0,
+                        paste0(round(100 * sum(WhiffIndicator, na.rm = TRUE) / sum(SwingIndicator, na.rm = TRUE), 0), "%"),
+                        "0%"),
       .groups = "drop"
     )
 }
@@ -1276,7 +1271,7 @@ calculate_tableau_pitch_usage <- function(pitcher_df) {
     filter(TaggedPitchType %in% filter_types) %>%
     group_by(TaggedPitchType) %>%
     summarise(
-      `Pitch Count` = n(),
+      `Pitch Count`  = n(),
       `Usage vs. LHH` = paste0(round(100 * sum(LHHindicator, na.rm = TRUE) / max(1, lhh_pitches), 0), "%"),
       `Usage vs. RHH` = paste0(round(100 * sum(RHHindicator, na.rm = TRUE) / max(1, rhh_pitches), 0), "%"),
       .groups = "drop"
@@ -1294,34 +1289,35 @@ calculate_tableau_velo_movement <- function(pitcher_df) {
       `Max. Velo` = round(max(RelSpeed, na.rm = TRUE), 1),
       `Avg. Spin` = format(round(mean(SpinRate, na.rm = TRUE), 0), big.mark = ","),
       `Max. Spin` = format(round(max(SpinRate, na.rm = TRUE), 0), big.mark = ","),
-      `Avg. IVB` = round(mean(InducedVertBreak, na.rm = TRUE), 0),
-      `Avg. HB` = round(mean(HorzBreak, na.rm = TRUE), 0),
+      `Avg. IVB`  = round(mean(InducedVertBreak, na.rm = TRUE), 0),
+      `Avg. HB`   = round(mean(HorzBreak, na.rm = TRUE), 0),
       .groups = "drop"
     )
 }
 
 calculate_tableau_release_data <- function(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(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) %>%
     summarise(
-      `Avg. Rel Ht` = round(mean(RelHeight, na.rm = TRUE), 2),
-      `Rel Ht vs. FB` = ifelse(is.na(fb_ht), NA, round((mean(RelHeight, na.rm = TRUE) - fb_ht) * 12, 0)),
-      `Avg. Rel Side` = round(mean(RelSide, na.rm = TRUE), 2),
-      `Rel Side vs. FB` = ifelse(is.na(fb_side), NA, round((mean(RelSide, na.rm = TRUE) - fb_side) * 12, 0)),
-      `Avg. Ext` = round(mean(Extension, na.rm = TRUE), 2),
+      `Avg. Rel Ht`      = round(mean(RelHeight, na.rm = TRUE), 2),
+      `Rel Ht vs. FB`    = ifelse(is.na(fb_ht), NA, round((mean(RelHeight, na.rm = TRUE) - fb_ht) * 12, 0)),
+      `Avg. Rel Side`    = round(mean(RelSide, na.rm = TRUE), 2),
+      `Rel Side vs. FB`  = ifelse(is.na(fb_side), NA, round((mean(RelSide, na.rm = TRUE) - fb_side) * 12, 0)),
+      `Avg. Ext`         = round(mean(Extension, na.rm = TRUE), 2),
       .groups = "drop"
     )
 }
 
 # =====================================================================
-# LOCATION PLOT
+# PLOTS
 # =====================================================================
 create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
   filter_types <- get_valid_pitch_types(pitcher_df)
@@ -1331,11 +1327,11 @@ create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
            !is.na(PlateLocSide), !is.na(PlateLocHeight)) %>%
     mutate(
       ResultDisplay = case_when(
-        PitchCall %in% c("BallCalled", "BallinDirt") ~ "Ball",
+        PitchCall %in% c("BallCalled","BallinDirt") ~ "Ball",
         PlayResult == "Double" ~ "2B",
-        PitchCall %in% c("FoulBall", "FoulBallNotFieldable") ~ "Foul",
+        PitchCall %in% c("FoulBall","FoulBallNotFieldable") ~ "Foul",
         PitchCall == "HitByPitch" ~ "HBP",
-        PlayResult %in% c("Sacrifice", "SacrificeFly") ~ "Sac",
+        PlayResult %in% c("Sacrifice","SacrificeFly") ~ "Sac",
         PlayResult == "Single" ~ "1B",
         PitchCall == "StrikeCalled" ~ "Called",
         PitchCall == "StrikeSwinging" ~ "Whiff",
@@ -1380,7 +1376,7 @@ create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
              y = c(0.15, 0.15, 0.30, 0.50, 0.30), fill = NA, color = "black", linewidth = 0.5) +
     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) +
+    geom_point(aes(color = TaggedPitchType, shape = ResultDisplay), size = 2.6, stroke = 0.85) +
     scale_color_manual(values = pitch_colors, name = "Pitch") +
     scale_shape_manual(
       values = c("Ball" = 1, "2B" = 18, "Foul" = 2, "HBP" = 8,
@@ -1412,9 +1408,6 @@ create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
     )
 }
 
-# =====================================================================
-# MOVEMENT PLOT (FILLED POINTS = PITCH COLORS)
-# =====================================================================
 create_tableau_movement_plot <- function(pitcher_df, pitch_colors) {
   filter_types <- get_valid_pitch_types(pitcher_df)
 
@@ -1431,7 +1424,7 @@ 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) +
-    geom_point(aes(fill = TaggedPitchType), size = 3, alpha = 1,
+    geom_point(aes(fill = TaggedPitchType), size = 3.2, alpha = 1,
                shape = 21, color = "black", stroke = 0.9) +
     scale_fill_manual(values = pitch_colors, drop = FALSE) +
     coord_cartesian(xlim = c(-30, 30), ylim = c(-30, 30)) +
@@ -1441,14 +1434,11 @@ create_tableau_movement_plot <- function(pitcher_df, pitch_colors) {
       plot.title = element_text(size = 12, face = "bold", hjust = 0.5),
       legend.position = "none",
       axis.title = element_text(size = 10),
-      axis.text = element_text(size = 9),
+      axis.text  = element_text(size = 9),
       plot.margin = margin(2, 2, 2, 2)
     )
 }
 
-# =====================================================================
-# RELEASE PLOT (FILLED POINTS = PITCH COLORS)
-# =====================================================================
 create_tableau_release_plot <- function(pitcher_df, pitch_colors) {
   filter_types <- get_valid_pitch_types(pitcher_df)
 
@@ -1475,7 +1465,7 @@ create_tableau_release_plot <- function(pitcher_df, pitch_colors) {
     annotate("rect", xmin = -0.5, xmax = 0.5, ymin = 0.85, ymax = 1.05,
              fill = "white", color = "gray40", linewidth = 0.3) +
     geom_vline(xintercept = 0, color = "gray60", linetype = "dashed", linewidth = 0.3) +
-    geom_point(aes(fill = TaggedPitchType), size = 3, alpha = 1,
+    geom_point(aes(fill = TaggedPitchType), size = 3.2, alpha = 1,
                shape = 21, color = "black", stroke = 0.9) +
     scale_fill_manual(values = pitch_colors, drop = FALSE) +
     coord_cartesian(xlim = c(-4, 4), ylim = c(0, 7)) +
@@ -1485,22 +1475,22 @@ create_tableau_release_plot <- function(pitcher_df, pitch_colors) {
       plot.title = element_text(size = 12, face = "bold", hjust = 0.5),
       legend.position = "none",
       axis.title = element_text(size = 10),
-      axis.text = element_text(size = 9),
+      axis.text  = element_text(size = 9),
       plot.margin = margin(2, 2, 2, 2)
     )
 }
 
 # =====================================================================
-# TABLE DRAWING (AUTO-SCALED, BUT NOT TOO HUGE)
+# TABLE DRAWING (BIGGER NUMBERS)
 # =====================================================================
 draw_tableau_table_fill <- function(
   title,
   data,
-  rows,                 # named vector: display label -> column name in `data`
+  rows,
   pitch_types,
   pitch_colors,
-  x, y,                 # TOP-LEFT anchor (npc)
-  width, height         # size (npc)
+  x, y,
+  width, height
 ) {
   if (is.null(pitch_types) || length(pitch_types) == 0) pitch_types <- "Undefined"
 
@@ -1514,16 +1504,16 @@ draw_tableau_table_fill <- function(
   col_w <- width / n_cols
   row_h <- table_h / n_rows
 
-  # 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))
+  # Bigger text than before (without exploding)
+  header_cex <- max(0.85, min(1.45, row_h * 26))
+  body_cex   <- max(0.82, min(1.35, row_h * 24))
+  label_cex  <- max(0.82, min(1.35, row_h * 24))
+  title_cex  <- max(1.00, min(1.45, row_h * 28))
 
   grid.text(title, x = x + width/2, y = y,
             gp = gpar(fontface = "bold", cex = title_cex, col = "#006F71"))
 
-  # headers
+  # Column 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"
@@ -1549,7 +1539,7 @@ draw_tableau_table_fill <- function(
               gp = gpar(col = "white", cex = header_cex, fontface = "bold"))
   }
 
-  # rows
+  # Data rows
   row_names <- names(rows)
   col_names <- as.character(rows)
 
@@ -1581,17 +1571,19 @@ draw_tableau_table_fill <- function(
       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))
+                gp = gpar(cex = body_cex, fontface = "plain"))
     }
   }
 }
 
-
+# =====================================================================
+# MAIN PDF FUNCTION (SINGLE, CORRECT)
+# =====================================================================
 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) %>%
-    dplyr::filter(Pitcher == pitcher_name)
+    filter(Pitcher == pitcher_name)
 
   if (nrow(pitcher_df) == 0) {
     pdf(output_file, width = 8.5, height = 11)
@@ -1602,7 +1594,7 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
     return(output_file)
   }
 
-  # ---- metadata ----
+  # Metadata
   game_date <- tryCatch({
     d <- unique(pitcher_df$Date)[1]
     if (inherits(d, "Date")) format(d, "%m/%d/%Y") else as.character(d)
@@ -1612,40 +1604,37 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
   batter_teams <- batter_teams[!is.na(batter_teams)]
   away_team <- if (length(batter_teams) > 0) batter_teams[1] else "Unknown"
 
-  # ---- calculations ----
+  # Stats + tables
   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 ordered by usage (Pitch Count desc), then append any that appear elsewhere
-  usage_order <- usage_data %>%
-    dplyr::arrange(dplyr::desc(`Pitch Count`)) %>%
-    dplyr::pull(TaggedPitchType) %>%
+  # Pitch columns ordered by usage (Pitch Count desc), then append any missing pitch types
+  pitch_types <- usage_data %>%
+    arrange(desc(`Pitch Count`)) %>%
+    pull(TaggedPitchType) %>%
     unique()
-
-  other_types <- unique(c(loc_data$TaggedPitchType, velo_data$TaggedPitchType, rel_data$TaggedPitchType))
-  other_types <- other_types[!is.na(other_types) & other_types != ""]
-  usage_order <- usage_order[!is.na(usage_order) & usage_order != ""]
-
-  pitch_types <- unique(c(usage_order, setdiff(other_types, usage_order)))
+  pitch_types <- pitch_types[!is.na(pitch_types) & pitch_types != ""]
+  extras <- unique(c(loc_data$TaggedPitchType, velo_data$TaggedPitchType, rel_data$TaggedPitchType))
+  extras <- extras[!is.na(extras) & extras != "" & !extras %in% pitch_types]
+  pitch_types <- c(pitch_types, extras)
   if (length(pitch_types) == 0) pitch_types <- "Undefined"
 
-  # ---- plots ----
+  # Plots
   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)
 
-  # ---- render ----
+  # PDF
   pdf(output_file, width = 8.5, height = 11)
   on.exit(try(dev.off(), silent = TRUE), add = TRUE)
-
   grid.newpage()
 
-  # =====================================================================
-  # HEADER BAR
-  # =====================================================================
+  # ============================================================
+  # HEADER BAR + INFO
+  # ============================================================
   grid.rect(x = 0, y = 0.955, width = 1, height = 0.045,
             just = c("left", "bottom"),
             gp = gpar(fill = "#006F71", col = NA))
@@ -1653,17 +1642,15 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
   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 = 0.82, fontface = "bold"))
+            gp = gpar(cex = 0.8, fontface = "bold"))
 
-  # =====================================================================
-  # STAT TILES (Tableau-style: top color band + bottom white; BIG + readable)
-  # =====================================================================
-  stat_labels <- c("At Bats","H","XBH","R","BB/HBP","SO","AVG",
-                   "Strike%","1st P K%","E+A%","Comp%","LOO%")
+  # ============================================================
+  # HEADER STAT TILES (BIGGER + MORE READABLE + MOVED DOWN)
+  # ============================================================
+  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,
@@ -1672,15 +1659,14 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
   label_colors <- c("#E74C3C", "#3498DB", "#3498DB", "#27AE60", "#27AE60", "#27AE60",
                     "#00BCD4", "#F39C12", "#F39C12", "#F39C12", "#F39C12", "#F39C12")
 
-  # Fit math (prevents clipping)
-  tiles_y  <- 0.905
-  x_start  <- 0.02
-  tile_w   <- 0.0715
+  # moved DOWN a bit vs prior (and slightly bigger)
+  tiles_y  <- 0.880
+  tile_w   <- 0.074
   tile_h   <- 0.060
-  tile_gap <- 0.0075
+  tile_gap <- 0.008
+  x_start  <- 0.02
 
-  band_h   <- tile_h * 0.52
-  bottom_h <- tile_h - band_h
+  band_h <- tile_h * 0.55
 
   for (i in seq_along(stat_labels)) {
     x_pos <- x_start + (i - 1) * (tile_w + tile_gap)
@@ -1689,13 +1675,12 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
     grid.rect(
       x = x_pos, y = tiles_y, width = tile_w, height = tile_h,
       just = c("left", "center"),
-      gp = gpar(fill = NA, col = label_colors[i], lwd = 2.4)
+      gp = gpar(fill = NA, col = label_colors[i], lwd = 2.2)
     )
 
     # Top colored band
     grid.rect(
-      x = x_pos,
-      y = tiles_y + (tile_h/2) - (band_h/2),
+      x = x_pos, y = tiles_y + (tile_h/2) - (band_h/2),
       width = tile_w, height = band_h,
       just = c("left", "center"),
       gp = gpar(fill = label_colors[i], col = NA)
@@ -1703,53 +1688,48 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
 
     # Bottom white area
     grid.rect(
-      x = x_pos,
-      y = tiles_y - (tile_h/2) + (bottom_h/2),
-      width = tile_w, height = bottom_h,
+      x = x_pos, y = tiles_y - (tile_h/2) + ((tile_h - band_h)/2),
+      width = tile_w, height = (tile_h - band_h),
       just = c("left", "center"),
-      gp = gpar(fill = "white", col = "black", lwd = 0.9)
+      gp = gpar(fill = "white", col = "black", lwd = 0.8)
     )
 
-    # Label (white, centered in color band)
+    # Label (white, bigger)
     grid.text(
       stat_labels[i],
       x = x_pos + tile_w/2,
       y = tiles_y + (tile_h/2) - (band_h/2),
-      gp = gpar(col = "white", cex = 0.88, fontface = "bold")
+      gp = gpar(col = "white", cex = 0.82, fontface = "bold")
     )
 
-    # Value (BIG)
+    # Value (big, very readable)
     grid.text(
       as.character(stat_values[i]),
       x = x_pos + tile_w/2,
-      y = tiles_y - (tile_h/2) + (bottom_h/2),
-      gp = gpar(col = "black", cex = 1.35, fontface = "bold")
+      y = tiles_y - (tile_h/2) + ((tile_h - band_h)/2),
+      gp = gpar(col = "black", cex = 1.20, fontface = "bold")
     )
   }
 
-  # =====================================================================
-  # CHARTS (left column)
-  # =====================================================================
-  # Location directly under header stats
-  pushViewport(viewport(x = 0.23, y = 0.675, width = 0.42, height = 0.30))
+  # ============================================================
+  # CHARTS (kept same formatting; nudged slightly down)
+  # ============================================================
+  pushViewport(viewport(x = 0.23, y = 0.655, width = 0.42, height = 0.30))
   print(loc_plot, newpage = FALSE)
   popViewport()
 
-  pushViewport(viewport(x = 0.23, y = 0.375, width = 0.40, height = 0.24))
+  pushViewport(viewport(x = 0.23, y = 0.36, width = 0.40, height = 0.24))
   print(mov_plot, newpage = FALSE)
   popViewport()
 
-  pushViewport(viewport(x = 0.23, y = 0.135, width = 0.42, height = 0.24))
+  pushViewport(viewport(x = 0.23, y = 0.12, width = 0.42, height = 0.24))
   print(rel_plot, newpage = FALSE)
   popViewport()
 
-  # =====================================================================
-  # TABLES (right column) - lifted + guaranteed fit
-  #   Top third: Location + Usage
-  #   Middle:    Velo & Movement
-  #   Bottom:    Release Data
-  # =====================================================================
-  table_x <- 0.56
+  # ============================================================
+  # TABLES (spacing fixed: Release title no overlap)
+  # ============================================================
+  table_x <- 0.58
   table_w <- 0.41
 
   draw_tableau_table_fill(
@@ -1758,7 +1738,7 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
     rows = c("Zone%"="Zone%", "Edge%"="Edge%", "Strike%"="Strike%", "Whiff%"="Whiff%"),
     pitch_types = pitch_types,
     pitch_colors = tableau_pitch_colors,
-    x = table_x, y = 0.84, width = table_w, height = 0.16
+    x = table_x, y = 0.835, width = table_w, height = 0.16
   )
 
   draw_tableau_table_fill(
@@ -1767,9 +1747,10 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
     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 = 0.66, width = table_w, height = 0.15
+    x = table_x, y = 0.645, width = table_w, height = 0.15
   )
 
+  # Velo moved slightly UP; release moved slightly DOWN so titles never overlap
   draw_tableau_table_fill(
     title = "Velo & Movement",
     data = velo_data,
@@ -1778,7 +1759,7 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
              "Avg. IVB"="Avg. IVB", "Avg. HB"="Avg. HB"),
     pitch_types = pitch_types,
     pitch_colors = tableau_pitch_colors,
-    x = table_x, y = 0.48, width = table_w, height = 0.22
+    x = table_x, y = 0.495, width = table_w, height = 0.21
   )
 
   draw_tableau_table_fill(
@@ -1791,7 +1772,7 @@ create_tableau_pitcher_pdf <- function(game_df, pitcher_name, output_file) {
              "Ext"="Avg. Ext"),
     pitch_types = pitch_types,
     pitch_colors = tableau_pitch_colors,
-    x = table_x, y = 0.285, width = table_w, height = 0.22
+    x = table_x, y = 0.235, width = table_w, height = 0.19
   )
 
   invisible(output_file)