# Filter the data for the pitcher Krupp
Krupp_data <- Danbury618 %>%
filter(Pitcher == "Krupp, Aidan")
# Create a detailed table for each pitch
detailed_pitch_table <- 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 Krupp")
Detailed Pitch Table for Krupp
| Curveball |
75.77 |
2027.59 |
94.55 |
-6.01 |
2.03 |
FoulBall |
3.66 |
2.61 |
6.14 |
3.2 |
| Curveball |
75.59 |
2092.08 |
67.95 |
-8.38 |
-1.75 |
BallinDirt |
3.77 |
2.54 |
6.09 |
2.3 |
| Curveball |
75.55 |
2173.88 |
85.25 |
-8.30 |
0.79 |
InPlay |
3.69 |
2.56 |
6.09 |
2.8 |
| Changeup |
86.23 |
2068.24 |
258.10 |
20.42 |
5.52 |
BallCalled |
3.67 |
2.58 |
6.26 |
8.6 |
| Changeup |
86.20 |
2058.01 |
255.44 |
20.92 |
6.68 |
FoulBall |
3.70 |
2.70 |
6.15 |
8.5 |
| Changeup |
85.76 |
2089.38 |
253.61 |
19.71 |
7.15 |
BallCalled |
3.63 |
2.73 |
6.25 |
8.5 |
| Curveball |
76.27 |
2169.48 |
46.21 |
-5.75 |
-3.88 |
BallinDirt |
3.65 |
2.64 |
6.23 |
1.5 |
| Changeup |
86.62 |
2029.46 |
245.13 |
18.18 |
9.83 |
FoulBall |
3.65 |
2.67 |
6.12 |
8.2 |
| Changeup |
86.60 |
2109.17 |
250.04 |
21.28 |
9.06 |
StrikeSwinging |
3.69 |
2.73 |
6.12 |
8.3 |
| Changeup |
86.22 |
2069.94 |
250.43 |
21.02 |
8.74 |
BallCalled |
3.66 |
2.73 |
6.03 |
8.3 |
| Sinker |
85.91 |
2118.93 |
275.51 |
22.30 |
-0.85 |
InPlay |
3.62 |
2.61 |
6.05 |
9.2 |
| Curveball |
75.94 |
2045.08 |
82.40 |
-4.20 |
0.81 |
BallCalled |
3.70 |
2.60 |
6.32 |
2.7 |
| Curveball |
74.10 |
1906.25 |
117.77 |
-6.53 |
5.00 |
BallCalled |
3.53 |
2.58 |
6.22 |
3.9 |
| Changeup |
86.44 |
2102.67 |
265.93 |
19.98 |
2.68 |
FoulBall |
3.68 |
2.69 |
6.30 |
8.9 |
| Sinker |
86.38 |
2129.88 |
250.83 |
19.80 |
8.16 |
FoulBall |
3.77 |
2.62 |
6.23 |
8.4 |
| Curveball |
76.48 |
2090.34 |
93.66 |
-10.48 |
2.35 |
BallCalled |
3.63 |
2.57 |
5.92 |
3.1 |
| Changeup |
86.54 |
2063.04 |
261.73 |
18.63 |
4.04 |
InPlay |
3.79 |
2.58 |
5.90 |
8.7 |
| Changeup |
85.51 |
2004.19 |
262.38 |
18.56 |
3.88 |
InPlay |
3.87 |
2.50 |
6.22 |
8.7 |
# 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\\n')
## Total number of pitches thrown: 18 \n\n
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Krupp")
Summary Pitch Table for Krupp
| Changeup |
50.00% |
9 |
3 |
6 |
33.33% |
66.67% |
86.24 |
2066.01 |
6.40 |
19.86 |
255.87 |
8.5 |
3.70 |
2.66 |
6.15 |
| Curveball |
38.89% |
7 |
3 |
4 |
42.86% |
57.14% |
75.67 |
2072.10 |
0.76 |
-7.09 |
83.97 |
2.8 |
3.66 |
2.59 |
6.14 |
| Sinker |
11.11% |
2 |
0 |
2 |
0.00% |
100.00% |
86.14 |
2124.40 |
3.66 |
21.05 |
263.17 |
8.8 |
3.70 |
2.62 |
6.14 |
# 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('Krupp maximum FB velocity: ', max_fb_velocity, '\\n')
## Krupp maximum FB velocity: 86.38 \n
# 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')
)
