# Filter the data for the pitcher Aidan Krupp
Brian_Foley_data <- data %>%
filter(Pitcher == "Krupp, Aidan")
# 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 Aidan Krupp")
Detailed Pitch Table for Aidan Krupp
Curveball |
75.60 |
2033.59 |
80.81 |
-7.89 |
0.43 |
BallCalled |
3.76 |
2.51 |
6.14 |
2.7 |
Sinker |
88.47 |
2067.20 |
246.73 |
21.25 |
10.35 |
BallCalled |
4.05 |
2.42 |
6.12 |
8.2 |
Changeup |
86.19 |
1958.24 |
250.44 |
21.58 |
8.96 |
BallCalled |
3.92 |
2.53 |
6.19 |
8.3 |
Changeup |
87.38 |
2024.79 |
249.05 |
20.87 |
9.24 |
StrikeCalled |
3.87 |
2.45 |
6.23 |
8.3 |
Sinker |
87.87 |
2018.96 |
245.13 |
22.42 |
11.70 |
BallCalled |
3.95 |
2.49 |
6.29 |
8.2 |
Sinker |
87.13 |
2093.54 |
245.09 |
20.10 |
10.68 |
StrikeCalled |
3.71 |
2.42 |
6.54 |
8.2 |
Curveball |
75.88 |
2012.35 |
84.39 |
-9.17 |
0.79 |
BallCalled |
3.81 |
2.43 |
5.80 |
2.8 |
Sinker |
88.41 |
2116.00 |
250.55 |
21.88 |
8.95 |
StrikeSwinging |
3.80 |
2.60 |
6.17 |
8.4 |
Changeup |
86.99 |
2005.02 |
246.89 |
21.42 |
10.45 |
InPlay |
3.83 |
2.42 |
6.09 |
8.2 |
Sinker |
87.34 |
2012.54 |
238.57 |
20.03 |
13.63 |
FoulBallNotFieldable |
4.02 |
2.39 |
6.12 |
8.0 |
Changeup |
85.58 |
1903.48 |
242.15 |
18.74 |
11.32 |
BallCalled |
3.83 |
2.52 |
5.97 |
8.1 |
Changeup |
85.12 |
1939.17 |
253.55 |
21.31 |
7.65 |
BallCalled |
3.80 |
2.52 |
6.15 |
8.5 |
Changeup |
86.39 |
1976.11 |
247.22 |
20.15 |
9.84 |
BallCalled |
3.90 |
2.63 |
6.00 |
8.2 |
Sinker |
88.37 |
2020.91 |
244.85 |
19.58 |
10.43 |
FoulBallNotFieldable |
3.79 |
2.59 |
6.13 |
8.2 |
Changeup |
86.28 |
1990.54 |
247.73 |
20.03 |
9.68 |
InPlay |
3.76 |
2.58 |
6.05 |
8.3 |
Curveball |
75.23 |
2144.01 |
96.47 |
-12.22 |
3.11 |
BallCalled |
3.65 |
2.64 |
6.17 |
3.2 |
Sinker |
88.37 |
2132.28 |
247.29 |
23.42 |
11.30 |
InPlay |
3.86 |
2.49 |
6.01 |
8.2 |
Curveball |
75.11 |
2129.56 |
103.37 |
-12.45 |
4.79 |
StrikeSwinging |
3.51 |
2.43 |
6.00 |
3.4 |
Curveball |
74.42 |
1996.39 |
88.29 |
-11.94 |
1.50 |
FoulBallNotFieldable |
3.55 |
2.53 |
6.08 |
2.9 |
Changeup |
87.07 |
2062.00 |
252.64 |
21.10 |
8.00 |
BallCalled |
3.77 |
2.53 |
6.27 |
8.4 |
Curveball |
76.83 |
2009.35 |
88.13 |
-11.96 |
1.42 |
BallCalled |
3.64 |
2.52 |
6.07 |
2.9 |
Changeup |
87.19 |
2052.12 |
246.00 |
20.88 |
10.66 |
StrikeSwinging |
3.76 |
2.59 |
6.18 |
8.2 |
# 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 == "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 Aidan Krupp")
Summary Pitch Table for Aidan Krupp
Changeup |
40.91% |
9 |
5 |
4 |
55.56% |
44.44% |
86.47 |
1990.16 |
9.53 |
20.68 |
248.41 |
8.3 |
3.83 |
2.53 |
6.13 |
Curveball |
27.27% |
6 |
4 |
2 |
66.67% |
33.33% |
75.51 |
2054.21 |
2.01 |
-10.94 |
90.24 |
3.0 |
3.65 |
2.51 |
6.04 |
Sinker |
31.82% |
7 |
2 |
5 |
28.57% |
71.43% |
87.99 |
2065.92 |
11.01 |
21.24 |
245.46 |
8.2 |
3.88 |
2.49 |
6.20 |
# 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("Aidan Krupp maximum FB velocity: ", max_fb_velocity, "mph\n")
## Aidan Krupp maximum FB velocity: 88.47 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 = -0.85, 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 Aidan Krupp",
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")
)
