# Filter the data for the pitcher Charlie Hale
Brian_Foley_data <- data %>%
filter(Pitcher == "Hale, Charlie")
# 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 Charlie Hale")
Detailed Pitch Table for Charlie Hale
| Changeup |
84.27 |
2061.05 |
245.79 |
15.17 |
8.17 |
InPlay |
5.41 |
3.17 |
5.41 |
8.2 |
| Slider |
76.81 |
2490.22 |
94.82 |
-13.10 |
2.64 |
StrikeCalled |
5.43 |
3.26 |
5.07 |
3.2 |
| Curveball |
76.34 |
2501.64 |
95.56 |
-14.00 |
2.94 |
InPlay |
5.43 |
3.38 |
5.09 |
3.2 |
| Changeup |
83.94 |
2148.81 |
228.89 |
15.23 |
14.73 |
StrikeCalled |
5.54 |
3.24 |
5.81 |
7.6 |
| Changeup |
78.14 |
1541.97 |
255.20 |
15.17 |
5.57 |
BallCalled |
5.37 |
3.35 |
5.37 |
8.5 |
| Changeup |
78.13 |
1567.63 |
260.16 |
17.62 |
4.48 |
BallCalled |
5.30 |
2.96 |
5.33 |
8.7 |
| Changeup |
84.28 |
2098.65 |
264.32 |
16.58 |
2.79 |
BallCalled |
5.48 |
3.02 |
5.60 |
8.8 |
| Changeup |
84.02 |
2106.62 |
251.60 |
13.28 |
5.73 |
InPlay |
5.39 |
2.96 |
5.71 |
8.4 |
| Slider |
77.52 |
2529.47 |
111.62 |
-13.86 |
6.98 |
FoulBallNotFieldable |
5.41 |
3.14 |
5.32 |
3.7 |
| Changeup |
76.83 |
1393.33 |
236.58 |
9.55 |
7.90 |
FoulBallNotFieldable |
5.36 |
2.89 |
5.36 |
7.9 |
| Changeup |
76.82 |
1398.42 |
287.58 |
14.34 |
-2.98 |
StrikeSwinging |
5.19 |
3.10 |
5.24 |
9.6 |
| Slider |
76.85 |
2432.76 |
103.32 |
-15.70 |
5.29 |
InPlay |
5.42 |
3.05 |
5.23 |
3.4 |
| Changeup |
85.46 |
2218.43 |
244.12 |
13.03 |
7.48 |
StrikeCalled |
5.46 |
2.99 |
5.68 |
8.1 |
| Changeup |
79.34 |
1447.97 |
279.39 |
11.85 |
-0.56 |
InPlay |
5.33 |
3.00 |
5.33 |
9.3 |
| Slider |
78.14 |
2442.30 |
109.19 |
-12.05 |
6.08 |
InPlay |
5.45 |
3.17 |
5.22 |
3.6 |
| Changeup |
84.80 |
2145.61 |
237.41 |
13.26 |
9.90 |
FoulBallNotFieldable |
5.54 |
2.55 |
5.72 |
7.9 |
| Slider |
77.48 |
2465.28 |
107.00 |
-17.24 |
6.75 |
FoulBallNotFieldable |
5.57 |
2.81 |
5.20 |
3.6 |
| Slider |
77.79 |
2471.23 |
90.20 |
-17.11 |
1.62 |
BallCalled |
5.62 |
2.81 |
5.28 |
3.0 |
| Changeup |
84.40 |
2166.66 |
254.23 |
14.71 |
5.49 |
HitByPitch |
5.49 |
2.89 |
5.41 |
8.5 |
| Slider |
77.49 |
2481.80 |
104.21 |
-14.35 |
5.25 |
BallCalled |
5.51 |
3.21 |
5.32 |
3.5 |
| Slider |
75.54 |
2370.83 |
95.62 |
-13.73 |
3.00 |
InPlay |
5.41 |
3.09 |
5.36 |
3.2 |
# 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: 21
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Charlie Hale")
Summary Pitch Table for Charlie Hale
| Changeup |
57.14% |
12 |
3 |
9 |
25.00% |
75.00% |
81.70 |
1857.93 |
5.73 |
14.15 |
253.77 |
8.5 |
5.40 |
3.01 |
5.50 |
| Curveball |
4.76% |
1 |
0 |
1 |
0.00% |
100.00% |
76.34 |
2501.64 |
2.94 |
-14.00 |
95.56 |
3.2 |
5.43 |
3.38 |
5.09 |
| Slider |
38.10% |
8 |
2 |
6 |
25.00% |
75.00% |
77.20 |
2460.49 |
4.70 |
-14.64 |
102.00 |
3.4 |
5.48 |
3.07 |
5.25 |
# 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("Charlie Hale maximum FB velocity: ", max_fb_velocity, "mph\n")
## Charlie Hale maximum FB velocity: -Inf 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 Charlie Hale",
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")
)
