# Filter the data for the pitcher Kyle Carozza
Kyle_Carozza_data <- data %>%
filter(Pitcher == "Carozza, Kyle")
# Create a detailed table for each pitch
detailed_pitch_table <- Kyle_Carozza_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 Kyle Carozza")
Detailed Pitch Table for Kyle Carozza
| Four-Seam |
88.84 |
2183.54 |
192.16 |
3.94 |
19.52 |
InPlay |
6.03 |
1.27 |
6.46 |
6.4 |
| Curveball |
75.80 |
2360.65 |
359.89 |
0.02 |
-10.79 |
BallCalled |
5.80 |
1.55 |
5.98 |
12.0 |
| Four-Seam |
88.20 |
2278.54 |
194.29 |
5.79 |
24.00 |
FoulBallNotFieldable |
6.05 |
1.21 |
6.46 |
6.5 |
| Curveball |
76.25 |
2494.47 |
15.23 |
-3.02 |
-9.65 |
BallCalled |
5.95 |
1.47 |
5.77 |
0.5 |
| Four-Seam |
88.38 |
2264.30 |
209.50 |
9.98 |
18.84 |
BallCalled |
5.96 |
1.15 |
6.35 |
7.0 |
| Four-Seam |
88.38 |
2239.16 |
208.02 |
10.10 |
20.21 |
FoulBallNotFieldable |
6.03 |
1.16 |
6.15 |
6.9 |
| Curveball |
75.43 |
2321.46 |
358.53 |
0.31 |
-10.70 |
BallCalled |
5.89 |
1.40 |
5.96 |
12.0 |
| Curveball |
75.84 |
2472.06 |
19.88 |
-5.00 |
-12.31 |
StrikeCalled |
5.93 |
1.38 |
5.87 |
0.7 |
| Four-Seam |
89.74 |
2328.81 |
209.35 |
10.75 |
20.31 |
BallCalled |
6.17 |
1.20 |
6.06 |
7.0 |
| Curveball |
76.10 |
2337.07 |
13.67 |
-2.03 |
-6.80 |
BallCalled |
5.90 |
1.40 |
5.93 |
0.5 |
| Four-Seam |
88.49 |
2227.92 |
215.53 |
11.40 |
17.16 |
FoulBallNotFieldable |
6.06 |
1.38 |
6.35 |
7.2 |
| Four-Seam |
90.36 |
2314.49 |
205.95 |
10.23 |
22.34 |
BallCalled |
6.14 |
1.20 |
6.13 |
6.9 |
| Four-Seam |
89.57 |
2260.99 |
213.91 |
11.53 |
18.41 |
StrikeCalled |
6.06 |
0.99 |
6.57 |
7.1 |
| Curveball |
76.82 |
2444.88 |
23.47 |
-4.19 |
-8.16 |
BallCalled |
6.02 |
1.43 |
5.84 |
0.8 |
| Four-Seam |
89.28 |
2258.86 |
209.71 |
10.56 |
19.71 |
BallCalled |
6.01 |
1.25 |
6.16 |
7.0 |
| Four-Seam |
89.34 |
2303.92 |
201.00 |
8.82 |
24.25 |
StrikeSwinging |
6.13 |
1.20 |
6.47 |
6.7 |
| Four-Seam |
88.37 |
2252.89 |
205.01 |
9.28 |
21.18 |
FoulBallNotFieldable |
6.11 |
1.29 |
6.30 |
6.8 |
| Four-Seam |
89.54 |
2231.03 |
213.04 |
10.89 |
17.97 |
HitByPitch |
6.05 |
1.21 |
6.22 |
7.1 |
# 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 == "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
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: 18
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Kyle Carozza")
Summary Pitch Table for Kyle Carozza
| Curveball |
33.33% |
6 |
5 |
1 |
83.33% |
16.67% |
76.04 |
2405.10 |
-9.73 |
-2.32 |
131.78 |
4.4 |
5.92 |
1.44 |
5.89 |
| Four-Seam |
66.67% |
12 |
4 |
8 |
33.33% |
66.67% |
89.04 |
2262.04 |
20.32 |
9.44 |
206.46 |
6.9 |
6.07 |
1.21 |
6.31 |
# 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("Kyle Carozza maximum FB velocity: ", max_fb_velocity, "mph\n")
## Kyle Carozza maximum FB velocity: 90.36 mph
# Prepare data for plotting pitch locations
pitch_location_data <- Kyle_Carozza_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) +
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 = -0.75, xmax = 0.75, 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 Kyle Carozza",
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 for", unique(detailed_pitch_table$AutoPitchType)),
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")
)
