Update app.R

app.R

@@ -2205,78 +2205,50 @@ create_advanced_pitch_characteristics <- function(data, player_name) {
   }
   
   if (!is.null(stuffplus_model) && nrow(pitcher_data) > 0) {
-
-   combined <- dplyr::bind_rows(
-      reference_data_for_stuff$spring,
-      reference_data_for_stuff$p5,
-      reference_data_for_stuff$sbc
-   )
-    
-    preflight_predictor_check(stuffplus_model, pitcher_data)
-    
-    message("Predicting Stuff+ for ", nrow(pitcher_data), " pitches...")
-    raw_predictions <- safe_predict_stuff(stuffplus_model, pitcher_data)
-    pitcher_data$raw_stuff <- raw_predictions
-    
+  
+    if (!is.null(reference_data_for_stuff)) {
+  
+      combined <- dplyr::bind_rows(
+        reference_data_for_stuff$spring,
+        reference_data_for_stuff$p5,
+        reference_data_for_stuff$sbc
+      )
+  
+      preflight_predictor_check(stuffplus_model, pitcher_data)
+      raw_predictions <- safe_predict_stuff(stuffplus_model, pitcher_data)
+      pitcher_data$raw_stuff <- raw_predictions
+  
       pitcher_data <- standardize_stuffplus_to_league(pitcher_data, combined)
-      
-      actual_mean <- mean(pitcher_data$stuff_plus, na.rm = TRUE)
-      actual_sd <- sd(pitcher_data$stuff_plus, na.rm = TRUE)
-      
-      suppressWarnings(message(
-        "Stuff+ summary for ", player_name, ":",
-        "\n  Min=", round(min(pitcher_data$stuff_plus, na.rm = TRUE), 1),
-        " | Max=", round(max(pitcher_data$stuff_plus, na.rm = TRUE), 1),
-        "\n  Mean=", round(actual_mean, 1),
-        " | SD=", round(actual_sd, 1),
-        "\n  25th=", round(quantile(pitcher_data$stuff_plus, 0.25, na.rm = TRUE), 1),
-        " | 50th=", round(quantile(pitcher_data$stuff_plus, 0.50, na.rm = TRUE), 1),
-        " | 75th=", round(quantile(pitcher_data$stuff_plus, 0.75, na.rm = TRUE), 1)
-      ))
-      
+  
     } else {
+  
       message("WARNING: No reference data available. Using local standardization.")
-      message("Scores will NOT be comparable to Document 1.")
-      
+  
       finite_raw <- pitcher_data$raw_stuff[is.finite(pitcher_data$raw_stuff)]
       if (length(finite_raw) == 0) {
-        message("No valid Stuff+ predictions — all NA")
         pitcher_data$stuff_plus <- NA_real_
       } else {
-        q <- stats::quantile(finite_raw, probs = c(0.01, 0.99), na.rm = TRUE, names = FALSE)
+        q <- quantile(finite_raw, probs = c(0.01, 0.99), na.rm = TRUE)
         lo <- q[1]; hi <- q[2]
         pitcher_data$raw_stuff_winz <- pmin(pmax(pitcher_data$raw_stuff, lo), hi)
-        
-        raw_mean <- mean(pitcher_data$raw_stuff_winz[is.finite(pitcher_data$raw_stuff_winz)])
-        raw_sd   <- stats::sd(pitcher_data$raw_stuff_winz[is.finite(pitcher_data$raw_stuff_winz)])
-        if (!is.finite(raw_sd) || raw_sd == 0) raw_sd <- 1e-8 {
-        
-        message("Standardizing (winsorized, local): mean=", round(raw_mean, 2), " sd=", round(raw_sd, 2))
-        pitcher_data <- pitcher_data %>%
-          dplyr::mutate(
-            stuff_plus = dplyr::case_when(
-              !is.finite(raw_stuff_winz) ~ NA_real_,
-              TRUE ~ ((raw_stuff_winz - raw_mean) / raw_sd) * 10 + 100
-            )
-          )
-        
-        actual_mean <- mean(pitcher_data$stuff_plus, na.rm = TRUE)
-        actual_sd <- sd(pitcher_data$stuff_plus, na.rm = TRUE)
-        
-        suppressWarnings(message(
-          "Stuff+ summary (LOCAL scale): Min=", round(min(pitcher_data$stuff_plus, na.rm = TRUE), 1),
-          " | Max=", round(max(pitcher_data$stuff_plus, na.rm = TRUE), 1),
-          " | Mean=", round(actual_mean, 1),
-          " | SD=", round(actual_sd, 1)
-        ))
+  
+        raw_mean <- mean(pitcher_data$raw_stuff_winz)
+        raw_sd   <- sd(pitcher_data$raw_stuff_winz)
+        if (!is.finite(raw_sd) || raw_sd == 0) raw_sd <- 1e-8
+  
+        pitcher_data$stuff_plus <- ((pitcher_data$raw_stuff_winz - raw_mean) / raw_sd) * 10 + 100
       }
     }
+  
   } else {
-    if (is.null(stuffplus_model)) message("Stuff+ model not loaded") 
-    if (nrow(pitcher_data) == 0)   message("No pitcher data for Stuff+ prediction")
+  
+    if (is.null(stuffplus_model)) message("Stuff+ model not loaded")
+    if (nrow(pitcher_data) == 0)  message("No pitcher data for Stuff+ prediction")
+  
     pitcher_data$raw_stuff  <- NA_real_
     pitcher_data$stuff_plus <- NA_real_
   }
+
   
   pitch_stats <- pitcher_data %>%
     dplyr::group_by(Pitch = TaggedPitchType) %>%