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

# 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 Matthew Martinez")
Detailed Pitch Table for Matthew Martinez
AutoPitchType ReleaseSpeed SpinRate Tilt HorizontalBreak InducedVerticalBreak PitchCall ReleaseHeight ReleaseSide Extension ClockTilt
Curveball 72.99 2205.29 46.90 -5.86 -3.36 BallCalled 6.51 1.30 4.09 1.6
Changeup 82.23 2003.63 200.45 8.85 25.44 FoulBallNotFieldable 6.67 0.80 4.69 6.7
Changeup 74.21 1524.96 233.34 14.53 12.70 StrikeCalled 6.44 1.29 4.79 7.8
Changeup 74.82 1597.80 228.13 12.32 12.83 FoulBallNotFieldable 6.40 1.21 4.66 7.6
Changeup 85.59 1949.14 208.13 9.22 18.63 FoulBallNotFieldable 6.70 0.78 4.45 6.9
Changeup 73.77 1321.85 242.91 13.65 8.87 BallCalled 6.44 1.27 4.87 8.1
Changeup 76.64 1624.52 254.64 17.44 6.48 InPlay 6.44 1.33 4.60 8.5
Curveball 74.28 2265.20 1.70 -0.30 -8.49 FoulBallNotFieldable 6.47 1.12 4.19 0.1
Changeup 73.61 1543.76 253.02 13.33 5.93 BallCalled 6.45 1.29 4.37 8.4
Four-Seam 85.24 2007.33 217.33 13.43 18.98 FoulBallNotFieldable 6.57 0.76 4.60 7.2
Curveball 73.17 2365.05 33.84 -6.75 -8.13 BallCalled 6.55 1.00 4.18 1.1
Curveball 73.21 2331.00 43.14 -4.95 -3.38 InPlay 6.39 1.19 4.45 1.4
Changeup 74.99 1484.70 237.48 13.77 10.74 StrikeCalled 6.37 1.28 5.10 7.9
Changeup 74.80 1496.29 233.06 14.67 12.88 StrikeCalled 6.32 1.32 4.67 7.8
Curveball 75.02 2335.44 31.41 -5.69 -7.49 FoulBallNotFieldable 6.41 1.26 4.22 1.0
Changeup 77.13 1654.79 245.01 14.92 8.58 FoulBallNotFieldable 6.28 1.37 4.96 8.2
Four-Seam 86.18 2037.15 205.16 9.80 22.30 InPlay 6.61 0.80 4.54 6.8
Four-Seam 85.02 1991.74 199.30 8.52 25.73 BallCalled 6.50 0.77 4.72 6.6
Changeup 73.88 1512.53 225.93 13.08 14.51 BallCalled 6.49 1.09 4.30 7.5
Curveball 75.30 2508.56 52.76 -8.97 -5.07 BallCalled 6.45 1.02 4.41 1.8
Changeup 84.68 1848.35 203.73 8.93 21.65 BallCalled 6.57 0.72 4.58 6.8
Changeup 85.25 1886.52 197.94 6.58 21.76 InPlay 6.57 0.92 4.93 6.6
Changeup 74.91 1517.70 229.41 14.24 14.04 BallCalled 6.41 1.39 4.47 7.6
Changeup 77.07 1628.88 251.08 17.17 7.50 StrikeCalled 6.37 1.20 5.23 8.4
Changeup 86.45 1921.38 216.20 10.89 16.14 FoulBallNotFieldable 6.51 0.98 4.76 7.2
Changeup 76.04 1536.58 248.94 17.45 8.36 StrikeCalled 6.32 1.36 4.62 8.3
Curveball 73.96 2310.49 39.45 -5.47 -4.96 BallCalled 6.39 1.19 4.46 1.3
Changeup 75.75 1545.23 247.98 17.06 8.58 BallCalled 6.34 1.24 4.69 8.3
Curveball 73.84 2208.84 32.58 -4.68 -5.67 StrikeCalled 6.34 0.94 4.46 1.1
Curveball 75.04 2388.84 42.09 -6.19 -5.20 StrikeSwinging 6.41 1.01 4.40 1.4
Curveball 74.18 2296.42 42.37 -5.42 -4.30 BallCalled 6.42 0.85 4.60 1.4
Four-Seam 85.49 2011.99 197.40 7.25 24.46 StrikeSwinging 6.55 0.78 4.62 6.6
Changeup 76.59 1712.16 243.46 18.71 11.07 StrikeSwinging 6.29 1.36 4.64 8.1
Four-Seam 87.00 1998.60 207.41 9.35 19.28 BallCalled 6.53 0.66 4.78 6.9
Changeup 75.21 1526.48 247.91 14.65 7.61 BallCalled 6.33 1.28 5.02 8.3
Changeup 76.35 1522.03 244.24 15.74 9.21 FoulBallNotFieldable 6.34 1.23 4.87 8.1
Changeup 77.49 1558.13 239.69 12.25 8.70 StrikeSwinging 6.31 1.43 4.63 8.0 
# 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:  37
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Matthew Martinez")
Summary Pitch Table for Matthew Martinez
AutoPitchType Usage TotalPitches Balls Strikes BallPercentage StrikePercentage AvgVelocity AvgSpinRate AvgInducedVertBreak AvgHorzBreak AvgTilt AvgClockTilt AvgReleaseHeight AvgReleaseSide AvgExtension
Changeup 59.46% 22 7 15 31.82% 68.18% 77.61 1632.61 12.37 13.61 233.30 7.8 6.43 1.19 4.72
Curveball 27.03% 10 5 5 50.00% 50.00% 74.10 2321.51 -5.61 -5.43 36.62 1.2 6.43 1.09 4.35
Four-Seam 13.51% 5 2 3 40.00% 60.00% 85.79 2009.36 22.15 9.67 205.32 6.8 6.55 0.75 4.65 
# Calculate maximum fastball velocity
max_fb_velocity <- detailed_pitch_table %>%
  filter(AutoPitchType %in% c("Four-Seam", "Sinker", "Cutter")) %>%
  summarise(MaxFBVelocity = max(ReleaseSpeed, na.rm = TRUE)) %>%
  pull(MaxFBVelocity)

# Display the maximum fastball velocity
cat("Matthew Martinez maximum FB velocity: ", max_fb_velocity, "mph\n")
## Matthew Martinez maximum FB velocity:  87 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", "FoulBall", "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 Matthew Martinez",
       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, 26)) +  # 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")
  )