# Filter the data for the pitcher Mulligan
Mulligan_data <- Adams619 %>%
filter(Pitcher == 'Mulligan, Sean')
# Create a detailed table for each pitch
detailed_pitch_table <- Mulligan_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 Mulligan')
Detailed Pitch Table for Mulligan
| Sinker |
88.88 |
2117.03 |
227.96 |
16.28 |
15.79 |
FoulBallNotFieldable |
6.23 |
1.96 |
5.96 |
7.6 |
| Curveball |
72.37 |
2457.39 |
49.24 |
-13.90 |
-10.14 |
BallCalled |
6.21 |
1.78 |
5.50 |
1.6 |
| Curveball |
70.87 |
2403.18 |
52.33 |
-15.59 |
-10.16 |
StrikeCalled |
6.19 |
1.71 |
5.74 |
1.7 |
| Curveball |
69.80 |
2484.33 |
37.86 |
-14.20 |
-16.15 |
BallCalled |
6.26 |
1.87 |
5.59 |
1.3 |
| Sinker |
88.63 |
1916.84 |
225.70 |
15.79 |
16.54 |
InPlay |
6.35 |
1.97 |
5.97 |
7.5 |
| Changeup |
78.68 |
1411.22 |
206.31 |
6.98 |
15.54 |
BallCalled |
6.03 |
2.18 |
5.94 |
6.9 |
| Sinker |
87.44 |
2027.75 |
236.73 |
18.95 |
13.60 |
InPlay |
6.24 |
2.02 |
5.95 |
7.9 |
| Changeup |
85.73 |
1912.12 |
225.06 |
14.47 |
15.67 |
FoulBallNotFieldable |
6.21 |
1.90 |
5.94 |
7.5 |
| Curveball |
69.17 |
2378.60 |
60.27 |
-17.03 |
-7.75 |
BallCalled |
6.23 |
1.68 |
5.43 |
2.0 |
| Sinker |
88.26 |
2133.23 |
230.52 |
14.66 |
13.24 |
BallCalled |
6.29 |
1.83 |
5.88 |
7.7 |
| Sinker |
87.42 |
2147.79 |
223.78 |
15.43 |
17.29 |
BallCalled |
6.26 |
1.76 |
6.04 |
7.5 |
| Sinker |
87.33 |
2185.75 |
234.22 |
17.03 |
13.47 |
FoulBallNotFieldable |
6.27 |
2.03 |
5.79 |
7.8 |
| Sinker |
86.95 |
2071.91 |
231.87 |
18.05 |
15.41 |
InPlay |
6.25 |
1.99 |
5.84 |
7.7 |
| Sinker |
86.17 |
2046.67 |
230.94 |
17.81 |
15.67 |
BallCalled |
6.16 |
2.11 |
5.92 |
7.7 |
| Changeup |
85.59 |
2055.69 |
242.10 |
18.57 |
11.10 |
StrikeCalled |
6.05 |
2.13 |
6.25 |
8.1 |
| Curveball |
71.18 |
2504.35 |
56.69 |
-18.21 |
-10.12 |
BallCalled |
6.16 |
1.99 |
5.42 |
1.9 |
| Sinker |
87.48 |
2168.13 |
225.99 |
11.33 |
12.05 |
BallCalled |
6.11 |
1.86 |
6.32 |
7.5 |
| Sinker |
87.32 |
2106.76 |
221.57 |
14.93 |
18.01 |
BallCalled |
6.15 |
2.03 |
6.32 |
7.4 |
| Changeup |
85.90 |
1972.70 |
240.84 |
17.56 |
11.10 |
BallCalled |
6.20 |
1.97 |
6.06 |
8.0 |
| Sinker |
86.48 |
2064.18 |
224.90 |
15.61 |
16.94 |
StrikeCalled |
6.28 |
2.02 |
5.93 |
7.5 |
| Curveball |
72.20 |
2556.69 |
44.29 |
-15.06 |
-13.60 |
BallCalled |
6.17 |
1.92 |
5.07 |
1.5 |
| Sinker |
87.83 |
2204.90 |
225.85 |
16.37 |
17.13 |
InPlay |
6.29 |
1.79 |
5.91 |
7.5 |
# 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: 22
# Display the summary table
knitr::kable(pitch_summary, caption = 'Summary Pitch Table for Mulligan')
Summary Pitch Table for Mulligan
| Changeup |
18.18% |
4 |
2 |
2 |
50.00% |
50.00% |
83.98 |
1837.93 |
13.35 |
14.39 |
228.58 |
7.6 |
6.12 |
2.04 |
6.05 |
| Curveball |
27.27% |
6 |
5 |
1 |
83.33% |
16.67% |
70.93 |
2464.09 |
-11.32 |
-15.67 |
50.11 |
1.7 |
6.20 |
1.82 |
5.46 |
| Sinker |
54.55% |
12 |
5 |
7 |
41.67% |
58.33% |
87.52 |
2099.24 |
15.43 |
16.02 |
228.34 |
7.6 |
6.24 |
1.95 |
5.99 |
# 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('Mulligan maximum FB velocity:', max_fb_velocity)
## Mulligan maximum FB velocity: 88.88
# Prepare data for plotting pitch locations
pitch_location_data <- Mulligan_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 Mulligan',
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 Mulligan',
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')
)
