# Filter the data for the pitcher Dowlen
Dowlen_data <- Adams619 %>%
filter(Pitcher == 'Dowlen, Colin')
# Create a detailed table for each pitch
detailed_pitch_table <- Dowlen_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 Dowlen')
Detailed Pitch Table for Dowlen
| Sinker |
89.32 |
2191.61 |
227.18 |
14.37 |
14.54 |
FoulBallNotFieldable |
5.13 |
2.12 |
5.82 |
7.6 |
| Curveball |
75.74 |
3032.01 |
62.29 |
-21.68 |
-9.69 |
BallCalled |
5.17 |
1.99 |
4.77 |
2.1 |
| Sinker |
88.50 |
2127.30 |
226.39 |
12.05 |
12.59 |
BallCalled |
5.13 |
2.07 |
5.67 |
7.5 |
| Sinker |
88.33 |
2086.02 |
231.23 |
12.39 |
11.06 |
BallCalled |
5.16 |
1.99 |
5.57 |
7.7 |
| Sinker |
88.87 |
2159.69 |
232.46 |
13.34 |
11.35 |
InPlay |
5.03 |
1.94 |
6.07 |
7.7 |
| Curveball |
75.91 |
3073.58 |
51.06 |
-19.75 |
-14.20 |
BallCalled |
5.25 |
1.89 |
4.85 |
1.7 |
| Curveball |
75.85 |
3021.41 |
46.61 |
-16.40 |
-13.88 |
StrikeSwinging |
5.22 |
1.91 |
5.12 |
1.6 |
| Four-Seam |
90.07 |
2271.48 |
221.99 |
9.92 |
12.18 |
StrikeCalled |
5.16 |
1.61 |
5.61 |
7.4 |
| Curveball |
75.87 |
3005.08 |
57.23 |
-18.54 |
-10.34 |
StrikeCalled |
4.92 |
2.03 |
5.34 |
1.9 |
| Four-Seam |
88.54 |
2184.15 |
215.43 |
10.85 |
16.41 |
InPlay |
5.16 |
1.90 |
5.79 |
7.2 |
| Curveball |
75.51 |
3054.94 |
50.36 |
-19.23 |
-14.10 |
StrikeCalled |
5.28 |
1.78 |
4.79 |
1.7 |
| Curveball |
75.15 |
3086.96 |
47.01 |
-18.41 |
-15.35 |
FoulBallNotFieldable |
5.25 |
1.83 |
4.62 |
1.6 |
| Curveball |
76.42 |
3116.70 |
47.46 |
-17.24 |
-14.11 |
BallCalled |
5.28 |
1.80 |
4.91 |
1.6 |
| Four-Seam |
90.13 |
2272.09 |
215.66 |
8.96 |
13.58 |
BallCalled |
5.20 |
1.72 |
5.81 |
7.2 |
| Sinker |
87.95 |
2124.54 |
225.97 |
10.32 |
11.14 |
BallCalled |
5.07 |
1.71 |
5.79 |
7.5 |
| Curveball |
75.27 |
2916.20 |
46.20 |
-16.39 |
-13.93 |
BallCalled |
5.22 |
1.75 |
4.86 |
1.5 |
| Curveball |
74.23 |
2916.80 |
54.01 |
-17.63 |
-10.91 |
StrikeCalled |
5.18 |
1.79 |
4.85 |
1.8 |
| Sinker |
88.41 |
2058.71 |
224.68 |
10.09 |
11.42 |
InPlay |
5.06 |
1.71 |
5.90 |
7.5 |
| Four-Seam |
89.34 |
2240.92 |
211.20 |
8.57 |
15.38 |
BallCalled |
5.20 |
1.62 |
5.98 |
7.0 |
| Curveball |
75.85 |
3000.36 |
69.79 |
-20.66 |
-5.80 |
InPlay |
5.29 |
1.82 |
5.11 |
2.3 |
# 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 Dowlen')
Summary Pitch Table for Dowlen
| Curveball |
50.00% |
10 |
4 |
6 |
40.00% |
60.00% |
75.58 |
3022.40 |
-12.23 |
-18.59 |
53.20 |
1.8 |
5.21 |
1.86 |
4.92 |
| Four-Seam |
20.00% |
4 |
2 |
2 |
50.00% |
50.00% |
89.52 |
2242.16 |
14.39 |
9.57 |
216.07 |
7.2 |
5.18 |
1.71 |
5.80 |
| Sinker |
30.00% |
6 |
3 |
3 |
50.00% |
50.00% |
88.56 |
2124.64 |
12.02 |
12.09 |
227.99 |
7.6 |
5.10 |
1.92 |
5.80 |
# 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('Dowlen maximum FB velocity:', max_fb_velocity)
## Dowlen maximum FB velocity: 90.13
# Prepare data for plotting pitch locations
pitch_location_data <- Dowlen_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 Dowlen',
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 Dowlen',
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')
)
