# Filter the data for the pitcher Falter
Falter_data <- Newport65 %>%
  filter(Pitcher == "Falter, Nick")

# Create a detailed table for each pitch
detailed_pitch_table <- Falter_data %>%
  select(AutoPitchType, RelSpeed, SpinRate, SpinAxis, HorzBreak, InducedVertBreak, PitchCall) %>%
  rename(
    ReleaseSpeed = RelSpeed,
    Tilt = SpinAxis,
    HorizontalBreak = HorzBreak,
    InducedVerticalBreak = InducedVertBreak
  ) %>%
  mutate(
    ReleaseSpeed = round(ReleaseSpeed, 2),
    SpinRate = round(SpinRate, 2),
    Tilt = round(Tilt, 2),
    HorizontalBreak = round(HorizontalBreak, 2),
    InducedVerticalBreak = round(InducedVerticalBreak, 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 Falter")
Detailed Pitch Table for Falter
AutoPitchType ReleaseSpeed SpinRate Tilt HorizontalBreak InducedVerticalBreak PitchCall ClockTilt
Sinker 92.78 2199.72 238.39 18.19 12.21 BallCalled 7.9
Four-Seam 88.82 2412.81 204.62 7.01 16.35 BallCalled 6.8
Four-Seam 87.84 2386.61 190.93 2.65 14.85 FoulBallNotFieldable 6.4
Cutter 85.07 2223.21 190.78 2.19 13.02 StrikeSwinging 6.4
Four-Seam 93.79 2401.06 216.15 14.51 21.01 FoulBallNotFieldable 7.2
Sinker 93.01 2382.88 240.98 19.38 11.89 InPlay 8.0
Four-Seam 92.89 2460.85 221.13 17.03 20.71 StrikeCalled 7.4
Four-Seam 88.51 2405.49 204.11 7.14 17.15 Undefined 6.8
Slider 85.71 2356.76 214.23 4.97 8.35 FoulBallNotFieldable 7.1
Slider 84.30 2212.65 224.92 3.21 4.80 InPlay 7.5
Cutter 88.16 2248.21 202.61 3.95 10.69 FoulBallNotFieldable 6.8
Slider 83.30 2164.26 191.66 1.39 7.96 BallCalled 6.4
Four-Seam 93.83 2461.89 222.46 15.22 17.73 BallCalled 7.4
Changeup 86.48 1732.09 263.62 16.41 3.03 BallCalled 8.8
Sinker 94.47 2432.58 233.05 17.21 13.97 BallCalled 7.8
Four-Seam 93.45 2437.98 217.37 14.94 20.70 BallCalled 7.2
Four-Seam 89.30 2323.54 199.37 4.64 14.29 FoulBallNotFieldable 6.6
Changeup 86.67 1583.31 265.67 16.78 2.55 BallCalled 8.9
Changeup 85.80 1624.64 251.09 16.82 7.00 InPlay 8.4
Sinker 93.72 2135.37 230.03 17.38 15.65 BallCalled 7.7
Four-Seam 89.54 2274.49 207.36 6.29 13.36 StrikeSwinging 6.9
Sinker 93.57 2176.06 243.20 20.08 11.23 StrikeSwinging 8.1
Four-Seam 95.12 2478.34 223.28 17.16 19.39 FoulBallNotFieldable 7.4
Four-Seam 95.06 2510.84 222.97 16.95 19.41 StrikeSwinging 7.4
Sinker 92.81 2478.33 223.96 16.54 18.50 Undefined 7.5
Four-Seam 87.04 2351.94 206.36 6.18 13.72 BallCalled 6.9
Slider 86.17 2357.90 183.46 0.61 11.44 BallCalled 6.1
Sinker 91.59 2465.91 227.53 16.22 16.20 StrikeCalled 7.6
Sinker 91.56 2159.52 242.28 18.96 11.26 InPlay 8.1
Sinker 91.95 2214.08 230.17 17.69 16.01 StrikeSwinging 7.7
Sinker 92.38 2202.92 233.48 18.57 15.04 StrikeCalled 7.8
Changeup 85.49 1611.90 278.70 19.16 -1.50 StrikeSwinging 9.3
Four-Seam 87.12 2285.97 192.06 2.88 14.81 InPlay 6.4
Four-Seam 92.23 2440.20 225.16 16.04 17.33 FoulBallNotFieldable 7.5
Changeup 84.35 1775.95 251.99 15.64 6.43 InPlay 8.4
Four-Seam 91.87 2422.83 231.61 18.76 16.17 BallCalled 7.7
Four-Seam 92.34 2396.74 217.79 13.62 18.82 StrikeCalled 7.3
Changeup 85.79 1869.57 248.73 19.99 9.25 InPlay 8.3
Sinker 91.66 2267.47 244.38 19.43 10.60 BallCalled 8.1
Four-Seam 92.63 2485.62 217.26 14.41 20.17 Undefined 7.2
Four-Seam 92.98 2521.28 220.67 14.55 18.21 InPlay 7.4 
# Create a summary table
pitch_summary <- detailed_pitch_table %>%
  group_by(AutoPitchType) %>%
  summarise(
    TotalPitches = n(),
    Balls = sum(PitchCall == "BallCalled"),
    Strikes = sum(PitchCall != "BallCalled"), # 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
  )

# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Falter")
Summary Pitch Table for Falter
AutoPitchType TotalPitches Balls Strikes BallPercentage StrikePercentage AvgVelocity AvgSpinRate AvgInducedVertBreak AvgHorzBreak AvgTilt AvgClockTilt
Changeup 6 2 4 33.33% 66.67% 85.76 1699.58 4.46 17.47 259.97 8.7
Cutter 2 0 2 0.00% 100.00% 86.61 2235.71 11.86 3.07 196.70 6.6
Four-Seam 18 5 13 27.78% 72.22% 91.35 2414.36 17.45 11.67 213.37 7.1
Sinker 11 4 7 36.36% 63.64% 92.68 2283.17 13.87 18.15 235.22 7.8
Slider 4 2 2 50.00% 50.00% 84.87 2272.89 8.14 2.54 203.57 6.8 
# Prepare data for plotting pitch locations
pitch_location_data <- Falter_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 < -0.75 | PitchSide > 0.75 | 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) + # Increase point size
  geom_rect(aes(xmin = -0.5, xmax = 0.5, ymin = 1.75, ymax = 3.25), fill = NA, color = "red", linetype = "solid", size = 1) + # Red box
  geom_rect(aes(xmin = -0.75, xmax = 0.75, ymin = 1.5, ymax = 3.5), fill = NA, color = "black", linetype = "solid", size = 1) + # Black box
  geom_rect(aes(xmin = -1.25, xmax = 1.25, ymin = 1.25, ymax = 3.75), fill = NA, color = "gray", linetype = "solid", size = 1) + # Gray box
  scale_x_continuous(limits = c(-2, 2)) +
  scale_y_continuous(limits = c(0, 5)) +
  coord_fixed(ratio = 1) + # Adjust ratio to shrink vertical distance
  labs(title = "Pitch Locations for Falter",
       x = "Horizontal Location (feet)",
       y = "Vertical Location (feet)",
       color = "Swing/Take",
       shape = "Chase") +
  facet_wrap(~ AutoPitchType) + # Create individual graphs for each pitch type
  geom_text(aes(x = -1.75, y = 5, label = "RHH"), color = "black", size = 3, hjust = 0) + # Label for RHH
  geom_text(aes(x = 1.75, y = 5, label = "LHH"), color = "black", size = 3, hjust = 1) + # Label for LHH
  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
  labs(title = "Pitch Movement for Falter",
       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")
  )