# Filter the data for the pitcher Carozza
Carozza_data <- Adams619 %>%
filter(Pitcher == 'Carozza, Kyle')
# Create a detailed table for each pitch
detailed_pitch_table <- Carozza_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 Carozza')
Detailed Pitch Table for Carozza
| Changeup |
79.09 |
1908.74 |
210.51 |
9.99 |
18.46 |
InPlay |
6.05 |
2.69 |
5.38 |
7.0 |
| Four-Seam |
89.56 |
2355.10 |
208.34 |
9.99 |
19.72 |
BallCalled |
6.08 |
1.16 |
6.13 |
6.9 |
| Four-Seam |
89.27 |
2308.89 |
219.72 |
13.19 |
17.07 |
BallCalled |
6.02 |
1.13 |
6.33 |
7.3 |
| Four-Seam |
89.83 |
2394.58 |
218.26 |
13.65 |
18.49 |
BallCalled |
6.08 |
1.27 |
6.30 |
7.3 |
| Curveball |
78.70 |
2103.80 |
14.27 |
-1.26 |
-3.38 |
StrikeCalled |
5.83 |
1.21 |
5.80 |
0.5 |
| Curveball |
77.80 |
2188.66 |
21.54 |
-3.36 |
-6.99 |
StrikeCalled |
5.79 |
1.38 |
5.67 |
0.7 |
| Four-Seam |
90.87 |
2400.48 |
217.68 |
12.69 |
17.59 |
StrikeCalled |
5.96 |
1.17 |
5.95 |
7.3 |
| Curveball |
78.83 |
2157.40 |
35.32 |
-4.43 |
-4.75 |
InPlay |
5.77 |
1.26 |
5.70 |
1.2 |
| Four-Seam |
88.30 |
2294.54 |
204.78 |
7.15 |
16.63 |
FoulBallNotFieldable |
5.93 |
1.26 |
6.27 |
6.8 |
| Four-Seam |
90.27 |
2278.80 |
208.50 |
10.80 |
21.10 |
BallCalled |
6.01 |
1.28 |
5.99 |
7.0 |
| Four-Seam |
88.45 |
2256.51 |
217.37 |
12.89 |
18.11 |
BallCalled |
6.10 |
1.24 |
6.08 |
7.2 |
| Curveball |
76.11 |
2077.54 |
27.79 |
-3.10 |
-4.29 |
BallCalled |
5.91 |
1.33 |
5.75 |
0.9 |
| Four-Seam |
89.53 |
2305.07 |
222.93 |
13.71 |
15.91 |
InPlay |
5.98 |
1.38 |
6.05 |
7.4 |
| Curveball |
78.22 |
2037.69 |
14.23 |
-1.87 |
-5.88 |
BallCalled |
5.76 |
1.28 |
5.78 |
0.5 |
| Four-Seam |
89.75 |
2353.87 |
205.21 |
9.36 |
21.09 |
StrikeSwinging |
6.05 |
1.24 |
6.11 |
6.8 |
| Four-Seam |
90.36 |
2308.31 |
210.41 |
11.01 |
19.97 |
BallCalled |
6.06 |
1.09 |
5.78 |
7.0 |
| Curveball |
78.42 |
2075.27 |
25.83 |
-3.53 |
-5.82 |
StrikeCalled |
5.85 |
1.30 |
5.81 |
0.9 |
| Four-Seam |
91.25 |
2410.13 |
219.16 |
13.63 |
17.91 |
InPlay |
5.98 |
1.12 |
6.02 |
7.3 |
| Four-Seam |
89.87 |
2313.39 |
209.49 |
10.84 |
20.38 |
FoulBallNotFieldable |
5.98 |
0.98 |
6.05 |
7.0 |
| Four-Seam |
90.26 |
2375.16 |
205.95 |
8.06 |
17.74 |
InPlay |
6.03 |
1.26 |
5.83 |
6.9 |
# 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)
## Total number of pitches thrown: 20
# Display the summary table
knitr::kable(pitch_summary, caption = 'Summary Pitch Table for Carozza')
Summary Pitch Table for Carozza
| Changeup |
5.00% |
1 |
0 |
1 |
0.00% |
100.00% |
79.09 |
1908.74 |
18.46 |
9.99 |
210.51 |
7.0 |
6.05 |
2.69 |
5.38 |
| Curveball |
30.00% |
6 |
2 |
4 |
33.33% |
66.67% |
78.01 |
2106.73 |
-5.19 |
-2.92 |
23.16 |
0.8 |
5.82 |
1.29 |
5.75 |
| Four-Seam |
65.00% |
13 |
6 |
7 |
46.15% |
53.85% |
89.81 |
2334.99 |
18.59 |
11.31 |
212.91 |
7.1 |
6.02 |
1.20 |
6.07 |
# 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('Carozza maximum FB velocity:', max_fb_velocity)
## Carozza maximum FB velocity: 91.25
# Prepare data for plotting pitch locations
pitch_location_data <- Carozza_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 Carozza',
x = 'Horizontal Location (feet)',
y = 'Vertical Location (feet)',
color = 'Swing/Take',
shape = 'Chase') +
facet_wrap(~ AutoPitchType) + # Create individual graphs for each 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')
)
# 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 Carozza',
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')
)
