# Filter the data for the pitcher Krupp
Krupp_data <- Valley68 %>%
filter(Pitcher == "Krupp, Aidan")
# Create a detailed table for each pitch
detailed_pitch_table <- Krupp_data %>%
select(AutoPitchType, RelSpeed, SpinRate, SpinAxis, HorzBreak, InducedVertBreak, PitchCall) %>%
rename(
ReleaseSpeed = RelSpeed,
Tilt = SpinAxis,
HorizontalBreak = HorzBreak,
InducedVerticalBreak = InducedVertBreak
) %>%
mutate(
ReleaseSpeed = round(ReleaseSpeed, 2),
SpinRate = round(SpinRate, 2),
Tilt = round(Tilt, 2),
HorizontalBreak = round(HorizontalBreak, 2),
InducedVerticalBreak = round(InducedVerticalBreak, 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 Krupp")
Detailed Pitch Table for Krupp
| Changeup |
86.04 |
1871.07 |
252.82 |
19.43 |
7.38 |
StrikeCalled |
8.4 |
| Changeup |
85.61 |
1786.95 |
252.62 |
20.07 |
7.67 |
StrikeCalled |
8.4 |
| Changeup |
86.36 |
1953.32 |
246.80 |
20.05 |
9.99 |
StrikeSwinging |
8.2 |
| Changeup |
84.84 |
1837.74 |
263.59 |
17.45 |
3.40 |
BallCalled |
8.8 |
| Changeup |
85.04 |
1821.35 |
269.49 |
15.43 |
1.58 |
BallCalled |
9.0 |
| Changeup |
85.68 |
1829.42 |
246.14 |
19.51 |
10.08 |
FoulBallNotFieldable |
8.2 |
| Curveball |
74.62 |
2033.20 |
56.03 |
-8.54 |
-4.14 |
StrikeCalled |
1.9 |
| Curveball |
75.96 |
2002.13 |
63.11 |
-9.73 |
-3.36 |
BallCalled |
2.1 |
| Changeup |
86.35 |
1988.48 |
259.04 |
23.91 |
5.98 |
BallCalled |
8.6 |
| Changeup |
84.89 |
1880.43 |
262.32 |
21.01 |
4.22 |
StrikeCalled |
8.7 |
| Curveball |
73.58 |
1924.97 |
73.49 |
-9.34 |
-1.12 |
BallCalled |
2.4 |
| Changeup |
86.23 |
2001.56 |
250.90 |
21.65 |
8.81 |
InPlay |
8.4 |
| Changeup |
86.64 |
2070.89 |
259.88 |
23.23 |
5.42 |
HitByPitch |
8.7 |
| Changeup |
85.42 |
1909.38 |
259.21 |
22.62 |
5.67 |
InPlay |
8.6 |
| Changeup |
84.98 |
1918.69 |
248.50 |
21.70 |
9.90 |
StrikeCalled |
8.3 |
| Changeup |
83.84 |
1952.66 |
259.23 |
19.55 |
5.08 |
BallCalled |
8.6 |
| Changeup |
84.48 |
1928.50 |
265.86 |
23.11 |
3.07 |
StrikeCalled |
8.9 |
| Changeup |
84.81 |
1904.82 |
256.68 |
21.34 |
6.50 |
InPlay |
8.6 |
# Create a summary table
pitch_summary <- detailed_pitch_table %>%
group_by(AutoPitchType) %>%
summarise(
TotalPitches = n(),
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
)
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Krupp")
Summary Pitch Table for Krupp
| Changeup |
15 |
4 |
11 |
26.67% |
73.33% |
85.41 |
1910.35 |
6.32 |
20.67 |
256.87 |
8.6 |
| Curveball |
3 |
2 |
1 |
66.67% |
33.33% |
74.72 |
1986.77 |
-2.87 |
-9.20 |
64.21 |
2.1 |
# Prepare data for plotting pitch locations
pitch_location_data <- Krupp_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 Krupp",
x = "Horizontal Location (feet)",
y = "Vertical Location (feet)",
color = "Swing/Take",
shape = "Chase") +
facet_wrap(~ AutoPitchType) + # Create individual graphs for each pitch type
geom_text(aes(x = -1.75, y = 5, label = "RHH"), color = "black", size = 3, hjust = 0) + # Label for RHH
geom_text(aes(x = 1.75, y = 5, label = "LHH"), color = "black", size = 3, hjust = 1) + # Label for LHH
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 Krupp",
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")
)
