# Filter the data for the pitcher Tyler Cox
Brian_Foley_data <- data %>%
filter(Pitcher == "Cox, Tyler")
# 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 Tyler Cox")
Detailed Pitch Table for Tyler Cox
| Changeup |
86.98 |
1950.37 |
222.92 |
16.02 |
18.42 |
StrikeCalled |
4.74 |
2.07 |
6.61 |
7.4 |
| Sinker |
88.64 |
2006.16 |
220.58 |
14.81 |
18.40 |
StrikeSwinging |
4.78 |
2.04 |
6.65 |
7.4 |
| Changeup |
87.03 |
2022.34 |
259.00 |
20.72 |
5.17 |
BallCalled |
4.72 |
2.15 |
6.59 |
8.6 |
| Sinker |
88.59 |
2033.33 |
255.34 |
21.48 |
6.74 |
BallCalled |
4.73 |
1.93 |
6.64 |
8.5 |
| Sinker |
88.48 |
2103.54 |
240.89 |
19.69 |
12.18 |
InPlay |
4.78 |
1.93 |
6.50 |
8.0 |
| Changeup |
87.08 |
1959.34 |
241.47 |
18.73 |
11.34 |
FoulBallNotFieldable |
4.72 |
1.97 |
6.66 |
8.0 |
| Curveball |
74.54 |
2094.14 |
59.88 |
-14.73 |
-6.88 |
BallCalled |
4.70 |
1.96 |
6.28 |
2.0 |
| Sinker |
87.29 |
1957.24 |
232.45 |
12.56 |
10.87 |
StrikeCalled |
4.78 |
1.90 |
6.77 |
7.7 |
| Curveball |
75.39 |
2166.66 |
56.92 |
-12.65 |
-6.58 |
StrikeSwinging |
4.71 |
1.94 |
6.24 |
1.9 |
| Sinker |
86.15 |
1893.73 |
233.95 |
13.85 |
11.28 |
BallCalled |
4.74 |
2.01 |
6.61 |
7.8 |
| Sinker |
87.50 |
1936.19 |
236.74 |
13.95 |
10.33 |
InPlay |
4.74 |
1.93 |
6.70 |
7.9 |
# 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: 11
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Tyler Cox")
Summary Pitch Table for Tyler Cox
| Changeup |
27.27% |
3 |
1 |
2 |
33.33% |
66.67% |
87.03 |
1977.35 |
11.64 |
18.49 |
241.13 |
8.0 |
4.73 |
2.06 |
6.62 |
| Curveball |
18.18% |
2 |
1 |
1 |
50.00% |
50.00% |
74.97 |
2130.40 |
-6.73 |
-13.69 |
58.40 |
2.0 |
4.70 |
1.95 |
6.26 |
| Sinker |
54.55% |
6 |
2 |
4 |
33.33% |
66.67% |
87.78 |
1988.37 |
11.63 |
16.06 |
236.66 |
7.9 |
4.76 |
1.96 |
6.64 |
# 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("Tyler Cox maximum FB velocity: ", max_fb_velocity, "mph\n")
## Tyler Cox maximum FB velocity: 88.64 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 Tyler Cox",
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")
)
