knitr::opts_chunk$set(echo = TRUE, message = FALSE, warning = FALSE)
library(readxl)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(ggplot2)
library(knitr)
# Load the data
Bristol621 <- read_excel("C:/Users/Franco Castagliuolo/OneDrive - Bentley University/Neers 24/Pitchers/Bristol 621/Bristol 621.xlsx")
# Filter the data for the pitcher Luczak
Luczak_data <- Bristol621 %>%
filter(Pitcher == "Luczak, Andrew")
# Create a detailed table for each pitch
detailed_pitch_table <- Luczak_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 Luczak")
Detailed Pitch Table for Luczak
| Sinker |
88.92 |
2414.46 |
228.08 |
18.54 |
17.94 |
HitByPitch |
5.38 |
2.69 |
5.98 |
7.6 |
| Sinker |
87.46 |
2280.31 |
232.83 |
18.30 |
15.10 |
BallCalled |
5.20 |
2.78 |
5.97 |
7.8 |
| Curveball |
75.27 |
2401.96 |
63.05 |
-9.67 |
-3.34 |
BallCalled |
5.30 |
2.77 |
5.27 |
2.1 |
| Sinker |
88.61 |
2350.66 |
240.83 |
18.13 |
11.26 |
BallCalled |
5.06 |
2.79 |
5.90 |
8.0 |
| Sinker |
89.59 |
2270.45 |
241.30 |
18.93 |
11.48 |
StrikeCalled |
5.24 |
2.76 |
6.01 |
8.0 |
| Four-Seam |
89.78 |
2474.02 |
220.23 |
16.00 |
20.10 |
BallCalled |
5.20 |
2.75 |
5.79 |
7.3 |
| Four-Seam |
87.63 |
2370.37 |
220.28 |
15.28 |
19.32 |
StrikeCalled |
5.41 |
2.74 |
6.08 |
7.3 |
| Four-Seam |
88.47 |
2468.94 |
219.28 |
15.11 |
19.74 |
BallCalled |
5.35 |
2.67 |
6.04 |
7.3 |
| Slider |
76.78 |
2462.29 |
76.19 |
-10.36 |
-1.08 |
FoulBallNotFieldable |
5.26 |
2.93 |
5.50 |
2.5 |
| Curveball |
78.18 |
2649.05 |
76.07 |
-14.45 |
-1.95 |
BallCalled |
5.26 |
2.70 |
5.49 |
2.5 |
| Sinker |
89.09 |
2448.28 |
226.93 |
18.98 |
19.06 |
BallCalled |
5.42 |
2.66 |
5.97 |
7.6 |
| Sinker |
89.61 |
2458.55 |
228.27 |
18.32 |
17.64 |
InPlay |
5.25 |
2.78 |
5.87 |
7.6 |
| Curveball |
76.95 |
2531.65 |
72.88 |
-14.25 |
-2.75 |
BallCalled |
5.26 |
2.83 |
5.32 |
2.4 |
| Curveball |
75.71 |
2577.60 |
58.94 |
-17.27 |
-8.78 |
BallCalled |
5.25 |
2.74 |
5.64 |
2.0 |
| Sinker |
89.01 |
2339.46 |
243.42 |
20.01 |
11.19 |
BallCalled |
4.97 |
3.06 |
5.84 |
8.1 |
| Sinker |
89.00 |
2399.38 |
246.76 |
24.28 |
11.63 |
BallCalled |
4.89 |
2.84 |
5.98 |
8.2 |
| Curveball |
77.89 |
2606.27 |
68.55 |
-15.72 |
-4.65 |
BallCalled |
5.26 |
2.78 |
5.67 |
2.3 |
| Sinker |
89.49 |
2416.88 |
249.48 |
24.46 |
10.38 |
StrikeCalled |
5.02 |
2.91 |
5.83 |
8.3 |
| Sinker |
89.55 |
2434.89 |
228.34 |
15.95 |
15.32 |
BallCalled |
5.05 |
2.89 |
6.09 |
7.6 |
| Slider |
78.39 |
2648.73 |
75.38 |
-12.57 |
-1.86 |
StrikeCalled |
5.26 |
2.71 |
5.64 |
2.5 |
| Slider |
78.05 |
2650.44 |
77.12 |
-19.51 |
-2.95 |
FoulBallNotFieldable |
5.31 |
2.66 |
5.57 |
2.6 |
| Four-Seam |
91.19 |
2326.52 |
220.21 |
15.14 |
19.04 |
StrikeSwinging |
5.50 |
2.56 |
6.03 |
7.3 |
| Sinker |
90.53 |
2458.21 |
237.84 |
19.70 |
13.57 |
StrikeSwinging |
5.09 |
2.92 |
5.64 |
7.9 |
| Sinker |
89.91 |
2397.45 |
247.18 |
20.47 |
9.78 |
BallCalled |
5.10 |
2.64 |
5.96 |
8.2 |
| Curveball |
76.19 |
2555.17 |
86.10 |
-12.35 |
0.69 |
BallinDirt |
5.32 |
2.77 |
5.50 |
2.9 |
# 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: 25
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Luczak")
Summary Pitch Table for Luczak
| Curveball |
24.00% |
6 |
5 |
1 |
83.33% |
16.67% |
76.70 |
2553.62 |
-3.46 |
-13.95 |
70.93 |
2.4 |
5.28 |
2.77 |
5.48 |
| Four-Seam |
16.00% |
4 |
2 |
2 |
50.00% |
50.00% |
89.27 |
2409.96 |
19.55 |
15.38 |
220.00 |
7.3 |
5.36 |
2.68 |
5.98 |
| Sinker |
48.00% |
12 |
7 |
5 |
58.33% |
41.67% |
89.23 |
2389.08 |
13.70 |
19.67 |
237.61 |
7.9 |
5.14 |
2.81 |
5.92 |
| Slider |
12.00% |
3 |
0 |
3 |
0.00% |
100.00% |
77.74 |
2587.15 |
-1.96 |
-14.15 |
76.23 |
2.5 |
5.28 |
2.77 |
5.57 |
# 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("Luczak maximum FB velocity: ", max_fb_velocity, "mph\n")
## Luczak maximum FB velocity: 91.19 mph
# Prepare data for plotting pitch locations
pitch_location_data <- Luczak_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 Luczak",
x = "Horizontal Location (feet)",
y = "Vertical Location (feet)",
color = "Swing/Take",
shape = "Chase") +
facet_wrap(~ AutoPitchType) + # Create individual graphs for each 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")
)
# 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 Luczak",
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")
)
