# Filter the data for the pitcher Tyler Cox
Brian_Foley_data <- data %>%
  filter(Pitcher == "Cox, Tyler")

# Create a detailed table for each pitch
detailed_pitch_table <- Brian_Foley_data %>%
  select(AutoPitchType, RelSpeed, SpinRate, SpinAxis, HorzBreak, InducedVertBreak, PitchCall, RelHeight, RelSide, Extension) %>%
  rename(
    ReleaseSpeed = RelSpeed,
    Tilt = SpinAxis,
    HorizontalBreak = HorzBreak,
    InducedVerticalBreak = InducedVertBreak,
    ReleaseHeight = RelHeight,
    ReleaseSide = RelSide
  ) %>%
  mutate(
    ReleaseSpeed = round(ReleaseSpeed, 2),
    SpinRate = round(SpinRate, 2),
    Tilt = round(Tilt, 2),
    HorizontalBreak = round(HorizontalBreak, 2),
    InducedVerticalBreak = round(InducedVerticalBreak, 2),
    ReleaseHeight = round(ReleaseHeight, 2),
    ReleaseSide = round(ReleaseSide, 2),
    Extension = round(Extension, 2),
    ClockTilt = round((Tilt / 30) %% 12, 1) # Interpret Tilt as clock face
  )

# Display the detailed table
knitr::kable(detailed_pitch_table, caption = "Detailed Pitch Table for Tyler Cox")
Detailed Pitch Table for Tyler Cox
AutoPitchType ReleaseSpeed SpinRate Tilt HorizontalBreak InducedVerticalBreak PitchCall ReleaseHeight ReleaseSide Extension ClockTilt
Sinker 87.34 2001.24 244.07 18.04 10.13 StrikeCalled 4.86 2.01 5.85 8.1
Changeup 78.14 1985.81 268.19 23.24 2.42 InPlay 4.87 2.12 5.58 8.9
Sinker 87.07 2071.39 232.70 16.06 13.68 StrikeCalled 4.93 1.94 6.13 7.8
Curveball 72.77 1995.08 51.02 -14.97 -10.17 StrikeCalled 5.18 1.84 5.29 1.7
Curveball 76.54 2090.50 108.10 -9.39 5.04 BallCalled 4.96 1.92 5.51 3.6
Sinker 87.72 2016.42 235.45 16.64 12.86 InPlay 5.03 1.90 6.16 7.8
Sinker 87.47 2023.79 240.71 16.84 10.83 StrikeCalled 4.95 1.93 6.07 8.0
Curveball 73.77 2075.83 53.28 -16.99 -10.62 InPlay 5.27 1.73 5.06 1.8
Changeup 86.85 1914.31 220.46 11.10 14.29 BallCalled 4.97 1.92 5.98 7.3
Changeup 87.03 2063.97 244.58 16.79 9.24 BallCalled 5.10 2.02 5.82 8.2
Sinker 86.84 2014.86 223.19 12.25 14.29 FoulBallNotFieldable 5.02 2.01 5.92 7.4
Changeup 85.31 1883.17 269.20 17.62 1.50 FoulBallNotFieldable 4.97 1.91 6.01 9.0
Changeup 77.48 1977.93 271.69 22.50 1.20 InPlay 4.91 2.07 5.54 9.1
Sinker 86.58 2076.18 235.95 17.59 13.20 StrikeCalled 5.12 2.13 5.83 7.9
Sinker 87.05 2073.92 236.13 18.06 13.45 StrikeSwinging 5.17 2.13 5.76 7.9
Changeup 77.27 1949.18 269.52 20.40 1.82 FoulBallNotFieldable 4.99 2.00 5.70 9.0
Curveball 73.42 1884.54 53.08 -18.09 -11.85 StrikeSwinging 5.51 1.85 5.32 1.8
Sinker 86.71 2102.68 237.44 17.93 12.74 FoulBallNotFieldable 5.19 2.06 5.84 7.9
Changeup 77.03 1904.74 284.93 17.11 -2.93 InPlay 5.11 2.21 5.46 9.5
Curveball 74.61 1862.79 51.16 -15.80 -11.02 StrikeCalled 5.12 1.75 5.58 1.7
Curveball 74.67 1855.59 51.99 -16.00 -10.79 InPlay 5.22 1.85 5.44 1.7
Sinker 88.81 2028.25 226.51 14.42 14.96 StrikeCalled 5.00 1.87 6.18 7.6
Changeup 78.16 1914.16 268.73 17.52 2.08 InPlay 4.95 1.94 5.68 9.0
Curveball 73.41 1909.36 55.07 -17.21 -10.23 StrikeCalled 5.20 1.73 5.52 1.8
Sinker 88.06 2074.46 239.75 17.08 11.27 StrikeCalled 4.96 1.86 6.07 8.0
Curveball 75.33 2004.68 49.41 -16.55 -12.37 InPlay 5.37 1.62 5.10 1.6 
# Calculate the total number of pitches
total_pitches <- nrow(detailed_pitch_table)

# Create a summary table
pitch_summary <- detailed_pitch_table %>%
  group_by(AutoPitchType) %>%
  summarise(
    TotalPitches = n(),
    Usage = sprintf("%.2f%%", n() / total_pitches * 100),
    Balls = sum(PitchCall %in% c("BallCalled", "BallinDirt")),
    Strikes = sum(!PitchCall %in% c("BallCalled", "BallinDirt")), # Count everything not a ball as a strike
    BallPercentage = sprintf('%.2f%%', Balls / TotalPitches * 100),
    StrikePercentage = sprintf('%.2f%%', Strikes / TotalPitches * 100),
    AvgVelocity = round(mean(ReleaseSpeed, na.rm = TRUE), 2),
    AvgSpinRate = round(mean(SpinRate, na.rm = TRUE), 2),
    AvgInducedVertBreak = round(mean(InducedVerticalBreak, na.rm = TRUE), 2),
    AvgHorzBreak = round(mean(HorizontalBreak, na.rm = TRUE), 2),
    AvgTilt = round(mean(Tilt, na.rm = TRUE), 2),
    AvgClockTilt = round(mean(ClockTilt, na.rm = TRUE), 1), # Clock face interpretation
    AvgReleaseHeight = round(mean(ReleaseHeight, na.rm = TRUE), 2),
    AvgReleaseSide = round(mean(ReleaseSide, na.rm = TRUE), 2),
    AvgExtension = round(mean(Extension, na.rm = TRUE), 2)
  ) %>%
  select(AutoPitchType, Usage, everything())

# Display the total number of pitches
cat("Total number of pitches thrown: ", total_pitches, "\n")
## Total number of pitches thrown:  26
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Tyler Cox")
Summary Pitch Table for Tyler Cox
AutoPitchType Usage TotalPitches Balls Strikes BallPercentage StrikePercentage AvgVelocity AvgSpinRate AvgInducedVertBreak AvgHorzBreak AvgTilt AvgClockTilt AvgReleaseHeight AvgReleaseSide AvgExtension
Changeup 30.77% 8 2 6 25.00% 75.00% 80.91 1949.16 3.70 18.28 262.16 8.8 4.98 2.02 5.72
Curveball 30.77% 8 1 7 12.50% 87.50% 74.32 1959.80 -9.00 -15.62 59.14 2.0 5.23 1.79 5.35
Sinker 38.46% 10 0 10 0.00% 100.00% 87.36 2048.32 12.74 16.49 235.19 7.8 5.02 1.98 5.98 
# Calculate maximum fastball velocity
max_fb_velocity <- detailed_pitch_table %>%
  filter(AutoPitchType %in% c("Four-Seam", "Two-Seam", "Sinker", "Cutter")) %>%
  summarise(MaxFBVelocity = max(ReleaseSpeed, na.rm = TRUE)) %>%
  pull(MaxFBVelocity)

# Display the maximum fastball velocity
cat("Tyler Cox maximum FB velocity: ", max_fb_velocity, "mph\n")
## Tyler Cox maximum FB velocity:  88.81 mph
# Prepare data for plotting pitch locations
pitch_location_data <- Brian_Foley_data %>%
  select(AutoPitchType, PlateLocHeight, PlateLocSide, PitchCall) %>%
  rename(
    PitchHeight = PlateLocHeight,
    PitchSide = PlateLocSide
  ) %>%
  mutate(
    SwingTake = ifelse(PitchCall %in% c("StrikeSwinging", "FoulBallNonSwinging", "FoulBallFieldable", "FoulBallNotFieldable", "InPlay"), "Swing", "Take"),
    Chase = ifelse(SwingTake == "Swing" & (PitchSide < -0.85 | PitchSide > 0.85 | PitchHeight < 1.5 | PitchHeight > 3.5), "Chase", "Non-Chase")
  )

# Create the scatter plot with specified strike zone boxes
ggplot(pitch_location_data, aes(x = PitchSide, y = PitchHeight, color = SwingTake, shape = Chase)) +
  geom_point(size = 3) +
  geom_rect(aes(xmin = -0.5, xmax = 0.5, ymin = 1.75, ymax = 3.25), fill = NA, color = "red", linetype = "solid", size = 1) + 
  geom_rect(aes(xmin = -0.85, xmax = 0.85, ymin = 1.5, ymax = 3.5), fill = NA, color = "black", linetype = "solid", size = 1) + 
  geom_rect(aes(xmin = -1.25, xmax = 1.25, ymin = 1.25, ymax = 3.75), fill = NA, color = "gray", linetype = "solid", size = 1) +
  scale_x_continuous(limits = c(-2, 2)) +
  scale_y_continuous(limits = c(0, 5)) +
  coord_fixed(ratio = 1) +
  labs(title = "Pitch Locations for Tyler Cox",
       x = "Horizontal Location (feet)",
       y = "Vertical Location (feet)",
       color = "Swing/Take",
       shape = "Chase") +
  facet_wrap(~ AutoPitchType) +
  theme_minimal() +
  theme(
    legend.position = "right",
    panel.grid.major = element_line(color = "grey80"),
    panel.grid.minor = element_line(color = "grey90"),
    axis.text = element_text(color = "black"),
    axis.title = element_text(color = "black"),
    plot.title = element_text(color = "black"),
    legend.background = element_rect(fill = "white", color = NA),
    legend.key = element_rect(fill = "white", color = NA),
    legend.text = element_text(color = "black"),
    legend.title = element_text(color = "black")
  )

# Create the scatter plot for horizontal and vertical breaks
ggplot(detailed_pitch_table, aes(x = HorizontalBreak, y = InducedVerticalBreak, color = AutoPitchType)) +
  geom_point(size = 3) + # Increase point size
  scale_x_continuous(limits = c(-25, 25)) +  # Set horizontal limits to +/- 25 inches
  scale_y_continuous(limits = c(-25, 25)) +  # Set vertical limits to +/- 25 inches
  labs(title = paste("Pitch Movement"),
       x = "Horizontal Break (inches)",
       y = "Induced Vertical Break (inches)",
       color = "Pitch Type") +
  theme_minimal() +
  theme(
    legend.position = "right",
    panel.grid.major = element_line(color = "grey80"),
    panel.grid.minor = element_line(color = "grey90"),
    axis.text = element_text(color = "black"),
    axis.title = element_text(color = "black"),
    plot.title = element_text(color = "black"),
    legend.background = element_rect(fill = "white", color = NA),
    legend.key = element_rect(fill = "white", color = NA),
    legend.text = element_text(color = "black"),
    legend.title = element_text(color = "black")
  )