# Filter the data for the pitcher Aidan Krupp
Aidan_Krupp_data <- data %>%
filter(Pitcher == "Krupp, Aidan")
# Create a detailed table for each pitch
detailed_pitch_table <- Aidan_Krupp_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
| Changeup |
85.19 |
1915.64 |
262.74 |
18.62 |
3.81 |
BallCalled |
3.99 |
2.65 |
6.14 |
8.8 |
| Changeup |
86.88 |
1901.32 |
246.92 |
20.15 |
10.04 |
FoulBallNotFieldable |
4.10 |
2.63 |
5.91 |
8.2 |
| Changeup |
83.83 |
1870.46 |
248.37 |
21.17 |
9.95 |
BallCalled |
4.02 |
2.58 |
5.98 |
8.3 |
| Changeup |
86.76 |
1942.71 |
246.72 |
21.04 |
10.53 |
FoulBallNotFieldable |
4.05 |
2.66 |
5.90 |
8.2 |
| Curveball |
76.22 |
2054.22 |
99.30 |
-11.32 |
3.61 |
BallCalled |
3.86 |
2.63 |
5.79 |
3.3 |
| Changeup |
87.03 |
2063.82 |
261.78 |
19.89 |
4.25 |
InPlay |
4.07 |
2.70 |
5.99 |
8.7 |
| Changeup |
87.92 |
2097.69 |
251.27 |
19.48 |
7.94 |
BallCalled |
3.96 |
2.73 |
5.90 |
8.4 |
| Sinker |
87.20 |
2088.83 |
248.20 |
20.70 |
9.65 |
StrikeCalled |
3.89 |
2.60 |
5.94 |
8.3 |
| Curveball |
75.80 |
2138.50 |
86.91 |
-9.63 |
1.19 |
BallCalled |
3.69 |
2.80 |
5.57 |
2.9 |
| Sinker |
86.58 |
2119.45 |
245.71 |
20.27 |
10.52 |
FoulBallNotFieldable |
3.84 |
2.72 |
5.89 |
8.2 |
| Curveball |
74.99 |
2059.91 |
56.96 |
-6.20 |
-2.33 |
BallinDirt |
3.81 |
2.58 |
6.04 |
1.9 |
| Changeup |
87.26 |
1965.64 |
263.89 |
19.62 |
3.34 |
BallinDirt |
3.82 |
2.53 |
5.99 |
8.8 |
| Changeup |
86.11 |
1965.31 |
251.58 |
20.10 |
7.96 |
BallCalled |
3.91 |
2.60 |
6.28 |
8.4 |
| Changeup |
85.58 |
1939.92 |
256.01 |
20.12 |
6.24 |
FoulBallNotFieldable |
3.88 |
2.65 |
5.95 |
8.5 |
| Changeup |
86.72 |
1882.17 |
267.74 |
17.24 |
1.79 |
BallCalled |
3.88 |
2.54 |
6.15 |
8.9 |
| Changeup |
86.03 |
1863.58 |
223.40 |
13.27 |
15.20 |
StrikeSwinging |
3.73 |
2.70 |
6.12 |
7.4 |
| Changeup |
86.49 |
1858.51 |
269.61 |
16.86 |
1.26 |
StrikeSwinging |
3.84 |
2.46 |
6.06 |
9.0 |
# 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: 17
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Aidan Krupp")
Summary Pitch Table for Aidan Krupp
| Changeup |
70.59% |
12 |
5 |
7 |
41.67% |
58.33% |
86.32 |
1938.90 |
6.86 |
18.96 |
254.17 |
8.5 |
3.94 |
2.62 |
6.03 |
| Curveball |
17.65% |
3 |
2 |
1 |
66.67% |
33.33% |
75.67 |
2084.21 |
0.82 |
-9.05 |
81.06 |
2.7 |
3.79 |
2.67 |
5.80 |
| Sinker |
11.76% |
2 |
0 |
2 |
0.00% |
100.00% |
86.89 |
2104.14 |
10.09 |
20.48 |
246.95 |
8.2 |
3.87 |
2.66 |
5.92 |
# 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: 87.2 mph
# Prepare data for plotting pitch locations
pitch_location_data <- Aidan_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) +
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 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)) +
scale_y_continuous(limits = c(-25, 25)) +
labs(title = "Pitch Movement for Aidan 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")
)
