Update app.R

app.R

@@ -1068,6 +1068,412 @@ create_postgame_pdf <- function(game_df, player_name, output_file, bio_data = NU
   }
 }
 
+# =====================================================================
+# TABLEAU-STYLE PITCHER REPORT FUNCTIONS
+# =====================================================================
+
+tableau_pitch_colors <- c(
+  "Fastball" = "#FA8072", "FourSeamFastBall" = "#FA8072", "Four-Seam" = "#FA8072",
+  "Sinker" = "#F2A541", "Slider" = "#9B59B6", "Sweeper" = "#9B59B6",
+  "Curveball" = "#2c7bb6", "ChangeUp" = "#90EE90", "Splitter" = "#90EE32",
+  "Cutter" = "#1ABC9C"
+)
+
+process_tableau_pitcher_data <- function(df) {
+  if (!"Pitcher" %in% names(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 = stringr::str_replace(coalesce(Pitcher, ""), "^\\s*(\\w+)\\s*,\\s*(\\w+)\\s*$", "\\2 \\1"))
+  
+  df <- df %>%
+    mutate(
+      StrikeZoneIndicator = ifelse(PlateLocSide >= -0.8333 & PlateLocSide <= 0.8333 & 
+                                     PlateLocHeight >= 1.5 & PlateLocHeight <= 3.37467, 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),
+      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),
+      LOOindicator = ifelse(LeadOffIndicator == 1 & OutIndicator == 1, 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)
+    )
+  df
+}
+
+calculate_tableau_header_stats <- function(pitcher_df) {
+  ab_data <- pitcher_df %>% filter(ABindicator == 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 %>% filter(PAindicator == 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$KorBB == "Strikeout", na.rm = TRUE)
+  avg <- ifelse(at_bats > 0, round(hits / at_bats, 3), 0)
+  
+  total_pitches <- nrow(pitcher_df)
+  strike_pct <- ifelse(total_pitches > 0, round(100 * sum(pitcher_df$StrikeIndicator, na.rm = TRUE) / total_pitches, 0), 0)
+  fp_pitches <- sum(pitcher_df$FPindicator, na.rm = TRUE)
+  fp_k_pct <- ifelse(fp_pitches > 0, round(100 * sum(pitcher_df$FPSindicator, na.rm = TRUE) / fp_pitches, 0), 0)
+  ea_pct <- ifelse(fp_pitches > 0, round(100 * (sum(pitcher_df$FPSindicator, na.rm = TRUE) + sum(pitcher_df$AheadIndicator & pitcher_df$Balls == 0, na.rm = TRUE)) / fp_pitches, 0), 0)
+  comp_pct <- ifelse(total_pitches > 0, round(100 * sum(pitcher_df$QualityPitchIndicator, na.rm = TRUE) / total_pitches, 0), 0)
+  leadoff_opps <- sum(pitcher_df$LeadOffIndicator, na.rm = TRUE)
+  loo_pct <- ifelse(leadoff_opps > 0, round(100 * sum(pitcher_df$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,
+       avg = sprintf("%.3f", avg), strike_pct = paste0(strike_pct, "%"), fp_k_pct = paste0(fp_k_pct, "%"),
+       ea_pct = paste0(ea_pct, "%"), comp_pct = paste0(comp_pct, "%"), loo_pct = paste0(loo_pct, "%"))
+}
+
+calculate_tableau_location_data <- function(pitcher_df) {
+  pitcher_df %>%
+    filter(!is.na(TaggedPitchType), TaggedPitchType != "Other") %>%
+    group_by(TaggedPitchType) %>%
+    summarise(
+      `Zone%` = round(100 * sum(StrikeZoneIndicator, na.rm = TRUE) / n(), 0),
+      `Edge%` = round(100 * sum(EdgeIndicator, na.rm = TRUE) / n(), 0),
+      `Strike%` = round(100 * sum(StrikeIndicator, na.rm = TRUE) / n(), 0),
+      `Whiff%` = ifelse(sum(SwingIndicator, na.rm = TRUE) > 0,
+                        round(100 * sum(WhiffIndicator, na.rm = TRUE) / sum(SwingIndicator, na.rm = TRUE), 0), 0),
+      .groups = "drop"
+    )
+}
+
+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)
+  
+  pitcher_df %>%
+    filter(!is.na(TaggedPitchType), TaggedPitchType != "Other") %>%
+    group_by(TaggedPitchType) %>%
+    summarise(
+      `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"
+    )
+}
+
+calculate_tableau_velo_movement <- function(pitcher_df) {
+  pitcher_df %>%
+    filter(!is.na(TaggedPitchType), TaggedPitchType != "Other") %>%
+    group_by(TaggedPitchType) %>%
+    summarise(
+      `Avg. Velo` = round(mean(RelSpeed, na.rm = TRUE), 1),
+      `Max. Velo` = round(max(RelSpeed, na.rm = TRUE), 1),
+      `Avg. Spin Rate` = format(round(mean(SpinRate, na.rm = TRUE), 0), big.mark = ","),
+      `Max. Spin Rate` = format(round(max(SpinRate, na.rm = TRUE), 0), big.mark = ","),
+      `Avg. Vert Break` = round(mean(InducedVertBreak, na.rm = TRUE), 0),
+      `Avg. Horz Break` = 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
+  
+  pitcher_df %>%
+    filter(!is.na(TaggedPitchType), TaggedPitchType != "Other") %>%
+    group_by(TaggedPitchType) %>%
+    summarise(
+      `Avg. Rel Height (ft.)` = round(mean(RelHeight, na.rm = TRUE), 2),
+      `Rel Ht vs. FB (in.)` = round((mean(RelHeight, na.rm = TRUE) - fb_ht) * 12, 0),
+      `Avg. Rel Side (ft.)` = round(mean(RelSide, na.rm = TRUE), 2),
+      `Rel Side vs. FB (in.)` = round((mean(RelSide, na.rm = TRUE) - fb_side) * 12, 0),
+      `Avg. Extension (ft.)` = round(mean(Extension, na.rm = TRUE), 2),
+      .groups = "drop"
+    )
+}
+
+create_tableau_location_plot <- function(pitcher_df, pitch_colors) {
+  df <- pitcher_df %>%
+    filter(!is.na(TaggedPitchType), TaggedPitchType != "Other",
+           !is.na(PlateLocSide), !is.na(PlateLocHeight)) %>%
+    mutate(ResultDisplay = case_when(
+      PitchCall %in% c("BallCalled", "BallinDirt") ~ "BallCalled",
+      PlayResult == "Double" ~ "Double",
+      PitchCall %in% c("FoulBall", "FoulBallNotFieldable") ~ "FoulBall",
+      PitchCall == "HitByPitch" ~ "HitByPitch",
+      PlayResult %in% c("Sacrifice", "SacrificeFly") ~ "Sacrifice",
+      PlayResult == "Single" ~ "Single",
+      PitchCall == "StrikeCalled" ~ "StrikeCalled",
+      PitchCall == "StrikeSwinging" ~ "StrikeSwinging",
+      PlayResult == "Triple" ~ "Triple",
+      TRUE ~ "Other"
+    ))
+  
+  if (nrow(df) == 0) return(ggplot() + theme_void() + ggtitle("Location Report"))
+  
+  ggplot(df, aes(x = PlateLocSide, y = PlateLocHeight)) +
+    annotate("rect", xmin = -0.8333, xmax = 0.8333, ymin = 1.5, ymax = 3.37467, fill = NA, color = "black", linewidth = 0.8) +
+    annotate("segment", x = -0.708, y = 0.15, xend = 0.708, yend = 0.15, color = "black") +
+    annotate("segment", x = -0.708, y = 0.30, xend = -0.708, yend = 0.15, color = "black") +
+    annotate("segment", x = 0.708, y = 0.30, xend = 0.708, yend = 0.15, color = "black") +
+    annotate("segment", x = -0.708, y = 0.30, xend = 0, yend = 0.50, color = "black") +
+    annotate("segment", x = 0.708, y = 0.30, xend = 0, yend = 0.50, color = "black") +
+    geom_point(aes(color = TaggedPitchType, shape = ResultDisplay), size = 3.5, stroke = 1.2) +
+    scale_color_manual(values = pitch_colors, name = "Pitch Type") +
+    scale_shape_manual(values = c("BallCalled" = 1, "Double" = 18, "FoulBall" = 2, "HitByPitch" = 8,
+                                   "Sacrifice" = 3, "Single" = 19, "StrikeCalled" = 4, 
+                                   "StrikeSwinging" = 8, "Triple" = 17, "Other" = 16),
+                       name = "Play Result") +
+    coord_fixed(xlim = c(-2, 2), ylim = c(0, 4.5)) +
+    labs(title = "Location Report") +
+    theme_minimal() +
+    theme(plot.title = element_text(size = 14, face = "bold", hjust = 0.5),
+          legend.position = "left", axis.text = element_blank(), 
+          axis.ticks = element_blank(), panel.grid = element_blank())
+}
+
+create_tableau_movement_plot <- function(pitcher_df, pitch_colors) {
+  df <- pitcher_df %>%
+    filter(!is.na(TaggedPitchType), TaggedPitchType != "Other",
+           !is.na(HorzBreak), !is.na(InducedVertBreak))
+  
+  if (nrow(df) == 0) return(ggplot() + theme_void() + ggtitle("Movement Profile"))
+  
+  ggplot(df, aes(x = HorzBreak, y = InducedVertBreak, color = TaggedPitchType)) +
+    geom_vline(xintercept = 0, color = "black") +
+    geom_hline(yintercept = 0, color = "black") +
+    geom_point(size = 3, alpha = 0.8) +
+    scale_color_manual(values = pitch_colors) +
+    coord_cartesian(xlim = c(-30, 30), ylim = c(-30, 30)) +
+    labs(title = "Movement Profile", x = "Horz Break", y = "Induced Vert Break") +
+    theme_minimal() +
+    theme(plot.title = element_text(size = 14, face = "bold", hjust = 0.5), legend.position = "none")
+}
+
+create_tableau_release_plot <- function(pitcher_df, pitch_colors) {
+  df <- pitcher_df %>%
+    filter(!is.na(TaggedPitchType), TaggedPitchType != "Other",
+           !is.na(RelSide), !is.na(RelHeight))
+  
+  if (nrow(df) == 0) return(ggplot() + theme_void() + ggtitle("Release Plot"))
+  
+  ggplot(df, aes(x = RelSide, y = RelHeight, color = TaggedPitchType)) +
+    geom_point(size = 3, alpha = 0.8) +
+    scale_color_manual(values = pitch_colors) +
+    coord_cartesian(xlim = c(-4, 4), ylim = c(0, 6)) +
+    labs(title = "Release Plot", x = "Rel Side", y = "Rel Height") +
+    theme_minimal() +
+    theme(plot.title = element_text(size = 14, face = "bold", hjust = 0.5), legend.position = "none")
+}
+
+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 = 11, height = 8.5)
+    grid::grid.newpage()
+    grid::grid.text(paste("No data for", pitcher_name), gp = grid::gpar(fontsize = 16, fontface = "bold"))
+    dev.off()
+    return(output_file)
+  }
+  
+  game_date <- tryCatch({
+    d <- unique(pitcher_df$Date)[1]
+    if (inherits(d, "Date")) format(d, "%m/%d/%Y") else as.character(d)
+  }, error = function(e) "Unknown")
+  
+  pitcher_team <- unique(pitcher_df$PitcherTeam)[1]
+  if (is.na(pitcher_team)) pitcher_team <- "Multiple values"
+  batter_team_str <- if (length(unique(pitcher_df$BatterTeam)) > 1) "All" else unique(pitcher_df$BatterTeam)[1]
+  
+  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)
+  
+  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)
+  
+  pitch_types <- loc_data$TaggedPitchType
+  
+  pdf(output_file, width = 11, height = 8.5)
+  on.exit(try(dev.off(), silent = TRUE), add = TRUE)
+  grid::grid.newpage()
+  
+  # Header
+  grid::grid.rect(x = 0, y = 0.92, width = 1, height = 0.08, just = c("left", "bottom"),
+                  gp = grid::gpar(fill = "#006F71", col = NA))
+  grid::grid.text("Pitcher Post-Game Report", x = 0.02, y = 0.96, just = "left",
+                  gp = grid::gpar(col = "white", fontface = "bold", cex = 1.5))
+  
+  # Info row
+  info_labels <- c("Date", "Pitcher Team", "Pitcher", "Batter Team", "vs. L/R")
+  info_values <- c(game_date, pitcher_team, pitcher_name, batter_team_str, "All")
+  for (i in 1:5) {
+    grid::grid.text(info_labels[i], x = 0.02 + (i-1)*0.18, y = 0.90, just = "left", gp = grid::gpar(cex = 0.7, col = "gray50"))
+    grid::grid.text(info_values[i], x = 0.02 + (i-1)*0.18, y = 0.87, just = "left", gp = grid::gpar(cex = 0.8, fontface = "bold"))
+  }
+  
+  # Stat boxes
+  stat_labels <- c("At Bats", "H", "XBH", "R", "BB/HBP", "SO", "AVG")
+  stat_values <- c(stats$at_bats, stats$hits, stats$xbh, stats$runs, stats$bb_hbp, stats$so, stats$avg)
+  stat_colors <- c("#006F71", "#006F71", "#006F71", "#E74C3C", "#006F71", "#006F71", "#006F71")
+  
+  for (i in 1:7) {
+    x <- 0.02 + (i-1)*0.07
+    grid::grid.rect(x = x, y = 0.82, width = 0.065, height = 0.055, just = c("left", "center"),
+                    gp = grid::gpar(fill = stat_colors[i], col = "black"))
+    grid::grid.text(stat_labels[i], x = x + 0.0325, y = 0.835, gp = grid::gpar(col = "white", cex = 0.55, fontface = "bold"))
+    grid::grid.text(stat_values[i], x = x + 0.0325, y = 0.805, gp = grid::gpar(col = "white", cex = 0.8, fontface = "bold"))
+  }
+  
+  # Percentage boxes
+  pct_labels <- c("Strike%", "1st P K%", "E+A%", "Comp%", "LOO%")
+  pct_values <- c(stats$strike_pct, stats$fp_k_pct, stats$ea_pct, stats$comp_pct, stats$loo_pct)
+  for (i in 1:5) {
+    x <- 0.55 + (i-1)*0.075
+    grid::grid.rect(x = x, y = 0.82, width = 0.07, height = 0.055, just = c("left", "center"),
+                    gp = grid::gpar(fill = "#006F71", col = "black"))
+    grid::grid.text(pct_labels[i], x = x + 0.035, y = 0.835, gp = grid::gpar(col = "white", cex = 0.5, fontface = "bold"))
+    grid::grid.text(pct_values[i], x = x + 0.035, y = 0.805, gp = grid::gpar(col = "white", cex = 0.75, fontface = "bold"))
+  }
+  
+  # PDF button
+  grid::grid.rect(x = 0.94, y = 0.82, width = 0.05, height = 0.055, just = c("left", "center"),
+                  gp = grid::gpar(fill = "#E74C3C", col = "black"))
+  grid::grid.text("PDF", x = 0.965, y = 0.82, gp = grid::gpar(col = "white", cex = 0.7, fontface = "bold"))
+  
+  # Location Plot
+  grid::pushViewport(grid::viewport(x = 0.22, y = 0.52, width = 0.40, height = 0.28))
+  print(loc_plot, newpage = FALSE)
+  grid::popViewport()
+  
+  # Location Data Table
+  grid::grid.text("Location Data", x = 0.75, y = 0.74, gp = grid::gpar(fontface = "bold", cex = 1.0))
+  col_w <- 0.07; row_h <- 0.025
+  for (i in seq_along(pitch_types)) {
+    grid::grid.rect(x = 0.58 + i*col_w, y = 0.70, width = col_w*0.95, height = row_h,
+                    just = c("left", "center"), gp = grid::gpar(fill = tableau_pitch_colors[pitch_types[i]], col = "black"))
+    grid::grid.text(pitch_types[i], x = 0.58 + i*col_w + col_w/2, y = 0.70,
+                    gp = grid::gpar(col = "white", cex = 0.5, fontface = "bold"))
+  }
+  metrics <- c("Zone%", "Edge%", "Strike%", "Whiff%")
+  for (m in seq_along(metrics)) {
+    y <- 0.70 - m*row_h
+    grid::grid.text(metrics[m], x = 0.58, y = y, just = "left", gp = grid::gpar(cex = 0.55, fontface = "bold"))
+    for (i in seq_along(pitch_types)) {
+      val <- loc_data[[metrics[m]]][i]
+      grid::grid.rect(x = 0.58 + i*col_w, y = y, width = col_w*0.95, height = row_h*0.9,
+                      just = c("left", "center"), gp = grid::gpar(fill = "white", col = "gray80"))
+      grid::grid.text(paste0(val, "%"), x = 0.58 + i*col_w + col_w/2, y = y, gp = grid::gpar(cex = 0.5))
+    }
+  }
+  
+  # Pitch Usage Table
+  grid::grid.text("Pitch Usage", x = 0.75, y = 0.55, gp = grid::gpar(fontface = "bold", cex = 1.0))
+  for (i in seq_along(pitch_types)) {
+    grid::grid.rect(x = 0.58 + i*col_w, y = 0.52, width = col_w*0.95, height = row_h,
+                    just = c("left", "center"), gp = grid::gpar(fill = tableau_pitch_colors[pitch_types[i]], col = "black"))
+    grid::grid.text(pitch_types[i], x = 0.58 + i*col_w + col_w/2, y = 0.52, gp = grid::gpar(col = "white", cex = 0.5, fontface = "bold"))
+  }
+  usage_metrics <- c("Usage vs. LHH", "Usage vs. RHH", "Pitch Count")
+  for (m in seq_along(usage_metrics)) {
+    y <- 0.52 - m*row_h
+    grid::grid.text(usage_metrics[m], x = 0.58, y = y, just = "left", gp = grid::gpar(cex = 0.55, fontface = "bold"))
+    for (i in seq_along(pitch_types)) {
+      idx <- which(usage_data$TaggedPitchType == pitch_types[i])
+      val <- if (length(idx) > 0) usage_data[[usage_metrics[m]]][idx] else "-"
+      grid::grid.rect(x = 0.58 + i*col_w, y = y, width = col_w*0.95, height = row_h*0.9,
+                      just = c("left", "center"), gp = grid::gpar(fill = "white", col = "gray80"))
+      grid::grid.text(as.character(val), x = 0.58 + i*col_w + col_w/2, y = y, gp = grid::gpar(cex = 0.5))
+    }
+  }
+  
+  # Divider
+  grid::grid.lines(x = c(0, 1), y = c(0.38, 0.38), gp = grid::gpar(col = "gray80", lty = "dotted"))
+  
+  # Movement Plot
+  grid::pushViewport(grid::viewport(x = 0.22, y = 0.22, width = 0.38, height = 0.16))
+  print(mov_plot, newpage = FALSE)
+  grid::popViewport()
+  
+  # Velo & Movement Table
+  grid::grid.text("Velo & Movement", x = 0.75, y = 0.36, gp = grid::gpar(fontface = "bold", cex = 1.0))
+  for (i in seq_along(pitch_types)) {
+    grid::grid.rect(x = 0.58 + i*col_w, y = 0.33, width = col_w*0.95, height = row_h,
+                    just = c("left", "center"), gp = grid::gpar(fill = tableau_pitch_colors[pitch_types[i]], col = "black"))
+    grid::grid.text(pitch_types[i], x = 0.58 + i*col_w + col_w/2, y = 0.33, gp = grid::gpar(col = "white", cex = 0.5, fontface = "bold"))
+  }
+  velo_metrics <- c("Avg. Velo", "Max. Velo", "Avg. Spin Rate", "Max. Spin Rate", "Avg. Vert Break", "Avg. Horz Break")
+  for (m in seq_along(velo_metrics)) {
+    y <- 0.33 - m*row_h
+    grid::grid.text(velo_metrics[m], x = 0.58, y = y, just = "left", gp = grid::gpar(cex = 0.5, fontface = "bold"))
+    for (i in seq_along(pitch_types)) {
+      idx <- which(velo_data$TaggedPitchType == pitch_types[i])
+      val <- if (length(idx) > 0) velo_data[[velo_metrics[m]]][idx] else "-"
+      grid::grid.rect(x = 0.58 + i*col_w, y = y, width = col_w*0.95, height = row_h*0.9,
+                      just = c("left", "center"), gp = grid::gpar(fill = "white", col = "gray80"))
+      grid::grid.text(as.character(val), x = 0.58 + i*col_w + col_w/2, y = y, gp = grid::gpar(cex = 0.45))
+    }
+  }
+  
+  # Divider
+  grid::grid.lines(x = c(0, 1), y = c(0.14, 0.14), gp = grid::gpar(col = "gray80", lty = "dotted"))
+  
+  # Release Plot
+  grid::pushViewport(grid::viewport(x = 0.22, y = 0.07, width = 0.38, height = 0.12))
+  print(rel_plot, newpage = FALSE)
+  grid::popViewport()
+  
+  # Release Data Table
+  grid::grid.text("Release Data", x = 0.75, y = 0.13, gp = grid::gpar(fontface = "bold", cex = 1.0))
+  row_h_rel <- 0.018
+  for (i in seq_along(pitch_types)) {
+    grid::grid.rect(x = 0.58 + i*col_w, y = 0.10, width = col_w*0.95, height = row_h_rel,
+                    just = c("left", "center"), gp = grid::gpar(fill = tableau_pitch_colors[pitch_types[i]], col = "black"))
+    grid::grid.text(pitch_types[i], x = 0.58 + i*col_w + col_w/2, y = 0.10, gp = grid::gpar(col = "white", cex = 0.45, fontface = "bold"))
+  }
+  rel_metrics <- c("Avg. Rel Height (ft.)", "Rel Ht vs. FB (in.)", "Avg. Rel Side (ft.)", "Rel Side vs. FB (in.)", "Avg. Extension (ft.)")
+  for (m in seq_along(rel_metrics)) {
+    y <- 0.10 - m*row_h_rel
+    grid::grid.text(rel_metrics[m], x = 0.58, y = y, just = "left", gp = grid::gpar(cex = 0.45, fontface = "bold"))
+    for (i in seq_along(pitch_types)) {
+      idx <- which(rel_data$TaggedPitchType == pitch_types[i])
+      val <- if (length(idx) > 0) rel_data[[rel_metrics[m]]][idx] else "-"
+      grid::grid.rect(x = 0.58 + i*col_w, y = y, width = col_w*0.95, height = row_h_rel*0.9,
+                      just = c("left", "center"), gp = grid::gpar(fill = "white", col = "gray80"))
+      grid::grid.text(as.character(val), x = 0.58 + i*col_w + col_w/2, y = y, gp = grid::gpar(cex = 0.42))
+    }
+  }
+  
+  invisible(output_file)
+}
+
 # =====================================================================
 # =====================  CATCHER CODE (wrapped)  =======================
 # =====================================================================
@@ -3527,6 +3933,7 @@ radioButtons("report_type", "Report Type",
              c("Hitter"="hitter",
                "Pitcher"="pitcher",
                "Advanced Pitcher"="advanced_pitcher",
+               "Tableau Pitcher"="tableau_pitcher",
                "Catcher"="catcher",
                "Umpire"="umpire",
                "BP Report"="bp"),
@@ -3688,6 +4095,13 @@ output$selector_ui <- renderUI({
       if (!length(players)) return(div(p("No players found in BP data", 
                                          style="color:#cc6600;font-weight:bold;")))
       selectInput("bp_player_name", "Select Player", choices = players, selected = players[1], width = "100%")
+
+  } else if (input$report_type == "tableau_pitcher") {
+  df <- data_pitcher()
+  if (is.null(df)) return(div(p("Please upload a CSV to begin", style = "color:#666;font-style:italic;text-align:center;")))
+  pitchers <- sort(unique(na.omit(df$Pitcher)))
+  if (!length(pitchers)) return(div(p("No pitchers found", style="color:#cc6600;font-weight:bold;")))
+  selectInput("tableau_pitcher_name", "Select Pitcher", choices = pitchers, selected = pitchers[1], width = "100%")
       
     } else if (input$report_type == "advanced_pitcher") {
       df <- data_pitcher()
@@ -3736,6 +4150,9 @@ output$download_ui <- renderUI({
     
   } else if (input$report_type == "umpire") {
     downloadButton("download_umpire", "Download Umpire PDF", class = "btn-primary")
+
+  } else if (input$report_type == "tableau_pitcher") {
+  downloadButton("download_tableau_pitcher", "Download Tableau Pitcher PDF", class = "btn-primary")
     
   } else if (input$report_type == "bp") {
     downloadButton("download_bp", "Download BP Report PDF", class = "btn-primary")
@@ -4051,6 +4468,18 @@ output$leaderboard_ui <- renderUI({
         h4("Count Usage (Ahead/Behind)", style="color:#006F71;"),
         plotOutput("preview_advanced_count", height="380px")
       )
+
+    } else if (input$report_type == "tableau_pitcher") {
+  df <- data_pitcher()
+  if (is.null(df)) return(div(style = "text-align:center;padding:60px;color:#999;", h4("No data to preview")))
+  req(input$tableau_pitcher_name)
+  tagList(
+    h4("Location Report Preview", style = "color:#006F71;"),
+    plotOutput("preview_tableau_location", height = "380px"),
+    br(),
+    h4("Movement Profile Preview", style = "color:#006F71;"),
+    plotOutput("preview_tableau_movement", height = "380px")
+  )
       
     } else if (input$report_type == "catcher") {
       df <- data_catcher()
@@ -4113,6 +4542,18 @@ output$leaderboard_ui <- renderUI({
   create_bp_spray_chart(input$bp_player_name, df)
 }, res = 96)
 
+  output$preview_tableau_location <- renderPlot({
+  df <- data_pitcher(); req(df, input$tableau_pitcher_name)
+  pitcher_df <- process_tableau_pitcher_data(df) %>% filter(Pitcher == input$tableau_pitcher_name)
+  create_tableau_location_plot(pitcher_df, tableau_pitch_colors)
+}, res = 120)
+
+output$preview_tableau_movement <- renderPlot({
+  df <- data_pitcher(); req(df, input$tableau_pitcher_name)
+  pitcher_df <- process_tableau_pitcher_data(df) %>% filter(Pitcher == input$tableau_pitcher_name)
+  create_tableau_movement_plot(pitcher_df, tableau_pitch_colors)
+}, res = 120)
+  
 output$preview_bp_zone <- renderPlot({
   df <- data_bp(); req(df, input$bp_player_name)
   create_bp_zone_plot(input$bp_player_name, df)
@@ -4277,6 +4718,25 @@ output$preview_bp_zone <- renderPlot({
     },
     contentType = "application/zip"
   )
+
+  output$download_tableau_pitcher <- downloadHandler(
+  filename = function() {
+    df <- data_pitcher(); req(df, input$tableau_pitcher_name)
+    pitcher_clean <- gsub(" ", "_", input$tableau_pitcher_name)
+    date_str <- format(parse_game_day(df %>% filter(Pitcher == input$tableau_pitcher_name)), "%Y%m%d")
+    paste0(pitcher_clean, "_", date_str, "_Tableau_Report.pdf")
+  },
+  content = function(file) {
+    df <- data_pitcher(); req(df, input$tableau_pitcher_name)
+    withProgress(message = 'Generating Tableau Pitcher PDF', value = 0, {
+      incProgress(.5, detail = "Creating visualizations...")
+      create_tableau_pitcher_pdf(df, input$tableau_pitcher_name, file)
+      incProgress(.5, detail = "Finalizing...")
+    })
+    showNotification("Tableau Pitcher report generated!", type = "message", duration = 3)
+  },
+  contentType = "application/pdf"
+)
   
   output$download_all_coastal_hitters <- downloadHandler(
     filename = function() {