Update app.R

app.R

@@ -181,13 +181,13 @@ summary_table <- function(data) {
   data_2024 <- rbind(MLB,AAA,FSL) %>%
     group_by(`Pitcher Name`, `Pitcher ID`, pitch_name) %>%
     summarize(
-      'Velo24' = round(mean(start_speed, na.rm = TRUE), 1),
-      'Spin24' = round(mean(spin_rate, na.rm = TRUE), 0),
-      'Ext24' = round(mean(extension, na.rm = TRUE), 1),
-      'IVB24' = round(mean(IVB, na.rm = TRUE), 1),
-      'HB24' = round(mean(HB, na.rm = TRUE), 1),
-      'RelX24' = round(mean(x0, na.rm = TRUE), 1),
-      'RelZ24' = round(mean(z0, na.rm = TRUE), 1),
+      'Velo25' = round(mean(start_speed, na.rm = TRUE), 1),
+      'Spin25' = round(mean(spin_rate, na.rm = TRUE), 0),
+      'Ext25' = round(mean(extension, na.rm = TRUE), 1),
+      'IVB25' = round(mean(IVB, na.rm = TRUE), 1),
+      'HB25' = round(mean(HB, na.rm = TRUE), 1),
+      'RelX25' = round(mean(x0, na.rm = TRUE), 1),
+      'RelZ25' = round(mean(z0, na.rm = TRUE), 1),
       .groups = "drop"
     )
   
@@ -251,7 +251,7 @@ server <- function(input, output, session) {
                             "College (Statcast Parks Only)" = mlb_schedule(season = season, level_ids = "22"),
                             "Futures Game" = mlb_schedule(season = season, level_ids = "21"),
                             "AFL" = {
-                              sbid <- mlb_schedule(2024, 17) %>%
+                              sbid <- mlb_schedule(2026, 17) %>%
                                 filter(teams_away_team_name %in% c("Glendale Desert Dogs", "Mesa Solar Sox",
                                                                    "Peoria Javelinas", "Salt River Rafters",
                                                                    "Scottsdale Scorpions", "Surprise Saguaros")) %>%