# Filter the data for the pitcher Kyle Carozza
Brian_Foley_data <- data %>%
filter(Pitcher == "Carozza, Kyle")
# 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 Kyle Carozza")
Detailed Pitch Table for Kyle Carozza
| Four-Seam |
88.47 |
2265.59 |
201.03 |
7.45 |
20.56 |
FoulBallNotFieldable |
6.11 |
1.12 |
6.37 |
6.7 |
| Four-Seam |
87.83 |
2214.84 |
210.12 |
10.46 |
19.39 |
FoulBallNotFieldable |
5.97 |
1.15 |
6.30 |
7.0 |
| Four-Seam |
90.22 |
2307.88 |
219.81 |
13.58 |
17.52 |
BallCalled |
6.09 |
1.09 |
6.29 |
7.3 |
| Curveball |
77.39 |
2476.88 |
20.11 |
-3.59 |
-8.26 |
FoulBallNotFieldable |
5.86 |
1.23 |
6.01 |
0.7 |
| Curveball |
76.93 |
2463.31 |
23.33 |
-3.06 |
-5.54 |
InPlay |
5.93 |
1.27 |
5.88 |
0.8 |
| Four-Seam |
87.51 |
2218.36 |
205.39 |
7.79 |
17.65 |
BallCalled |
6.12 |
1.18 |
6.32 |
6.8 |
| Four-Seam |
87.06 |
2218.80 |
202.93 |
7.33 |
18.51 |
FoulBallNotFieldable |
5.93 |
1.22 |
6.47 |
6.8 |
| Curveball |
77.26 |
2429.21 |
5.11 |
-0.54 |
-4.55 |
BallCalled |
5.85 |
1.20 |
5.98 |
0.2 |
| Four-Seam |
88.14 |
2235.19 |
211.48 |
11.09 |
19.32 |
InPlay |
6.00 |
0.98 |
6.24 |
7.0 |
| Four-Seam |
87.74 |
2211.27 |
209.44 |
10.54 |
19.80 |
FoulBallNotFieldable |
5.95 |
0.99 |
6.31 |
7.0 |
| Curveball |
75.80 |
2352.28 |
3.41 |
-0.43 |
-5.57 |
BallCalled |
5.93 |
1.23 |
5.75 |
0.1 |
| Four-Seam |
87.71 |
2181.76 |
208.46 |
9.78 |
19.26 |
StrikeCalled |
6.01 |
0.92 |
6.29 |
6.9 |
| Four-Seam |
89.55 |
2285.99 |
219.16 |
13.53 |
17.83 |
InPlay |
6.00 |
0.92 |
6.10 |
7.3 |
| Four-Seam |
85.65 |
2156.78 |
205.50 |
8.46 |
19.05 |
BallCalled |
5.99 |
1.27 |
6.24 |
6.8 |
| Four-Seam |
86.66 |
2275.14 |
201.91 |
8.76 |
23.11 |
BallCalled |
6.01 |
1.33 |
6.11 |
6.7 |
| Four-Seam |
87.11 |
2284.17 |
207.44 |
10.14 |
20.82 |
BallCalled |
5.90 |
1.25 |
6.24 |
6.9 |
| Four-Seam |
87.89 |
2258.75 |
211.05 |
12.38 |
21.87 |
StrikeCalled |
5.93 |
1.22 |
6.20 |
7.0 |
| Four-Seam |
87.76 |
2231.73 |
206.13 |
8.42 |
18.42 |
FoulBallNotFieldable |
5.96 |
1.29 |
6.22 |
6.9 |
| Four-Seam |
89.28 |
2289.84 |
211.51 |
10.17 |
17.83 |
StrikeCalled |
5.90 |
1.27 |
6.24 |
7.1 |
| Curveball |
76.36 |
2331.88 |
39.57 |
-3.53 |
-2.73 |
BallCalled |
5.83 |
1.21 |
5.87 |
1.3 |
| Four-Seam |
88.31 |
2236.79 |
198.06 |
6.01 |
19.74 |
InPlay |
5.81 |
1.18 |
6.35 |
6.6 |
| Four-Seam |
88.15 |
2201.71 |
221.23 |
14.06 |
17.37 |
InPlay |
6.00 |
1.09 |
6.09 |
7.4 |
# 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: 22
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Kyle Carozza")
Summary Pitch Table for Kyle Carozza
| Curveball |
22.73% |
5 |
3 |
2 |
60.00% |
40.00% |
76.75 |
2410.71 |
-5.33 |
-2.23 |
18.31 |
0.6 |
5.88 |
1.23 |
5.90 |
| Four-Seam |
77.27% |
17 |
5 |
12 |
29.41% |
70.59% |
87.94 |
2239.68 |
19.30 |
10.00 |
208.86 |
7.0 |
5.98 |
1.15 |
6.26 |
# 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: 90.22 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 < -0.75 | 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"),
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")
)
