# Filter the data for the pitcher Sibley
Sibley_data <- Danbury618 %>%
filter(Pitcher == "Sibley, Joshua")
# Create a detailed table for each pitch
detailed_pitch_table <- Sibley_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 Sibley")
Detailed Pitch Table for Sibley
| Four-Seam |
87.10 |
2393.02 |
144.81 |
-10.52 |
16.27 |
StrikeCalled |
5.20 |
-0.82 |
6.21 |
4.8 |
| Sinker |
86.31 |
2281.30 |
137.51 |
-8.32 |
10.46 |
BallCalled |
5.15 |
-0.78 |
6.21 |
4.6 |
| Four-Seam |
86.25 |
2276.39 |
148.14 |
-8.92 |
15.90 |
InPlay |
4.98 |
-0.87 |
6.48 |
4.9 |
| Changeup |
86.00 |
2263.65 |
122.96 |
-16.04 |
11.93 |
BallCalled |
4.93 |
-0.93 |
6.30 |
4.1 |
| Changeup |
82.23 |
1946.48 |
105.49 |
-18.31 |
6.62 |
BallCalled |
4.93 |
-0.95 |
6.28 |
3.5 |
| Four-Seam |
87.05 |
2392.65 |
141.00 |
-11.87 |
16.04 |
FoulBall |
5.09 |
-0.72 |
6.22 |
4.7 |
| Curveball |
77.25 |
2882.91 |
292.87 |
15.46 |
-4.89 |
HitByPitch |
5.54 |
-0.52 |
5.69 |
9.8 |
| Curveball |
75.54 |
2825.47 |
308.60 |
8.30 |
-5.11 |
FoulBall |
5.47 |
-0.71 |
5.64 |
10.3 |
| Curveball |
76.92 |
2770.72 |
318.90 |
7.65 |
-7.26 |
StrikeSwinging |
5.45 |
-0.63 |
5.76 |
10.6 |
| Curveball |
77.04 |
2870.02 |
298.85 |
14.17 |
-6.16 |
StrikeCalled |
5.50 |
-0.48 |
5.58 |
10.0 |
| Changeup |
84.12 |
2327.21 |
124.24 |
-14.29 |
10.98 |
InPlay |
5.02 |
-0.81 |
6.36 |
4.1 |
| Curveball |
75.89 |
2836.47 |
298.79 |
12.22 |
-5.07 |
BallCalled |
5.53 |
-0.38 |
5.52 |
10.0 |
| Changeup |
84.85 |
2287.35 |
128.34 |
-13.28 |
11.83 |
FoulBall |
5.14 |
-0.71 |
6.24 |
4.3 |
| Changeup |
78.93 |
1990.71 |
110.78 |
-18.95 |
8.78 |
BallinDirt |
4.95 |
-1.14 |
6.30 |
3.7 |
| Changeup |
84.55 |
2311.97 |
138.03 |
-8.93 |
11.29 |
BallinDirt |
5.23 |
-0.70 |
6.11 |
4.6 |
| Four-Seam |
85.28 |
2348.16 |
146.67 |
-9.16 |
15.19 |
InPlay |
5.26 |
-0.53 |
6.17 |
4.9 |
| Changeup |
84.59 |
2363.87 |
132.50 |
-12.48 |
12.76 |
BallCalled |
5.04 |
-0.59 |
6.45 |
4.4 |
| Curveball |
76.61 |
2892.97 |
303.29 |
7.51 |
-3.40 |
InPlay |
5.52 |
-0.44 |
5.50 |
10.1 |
# 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 Sibley")
Summary Pitch Table for Sibley
| Changeup |
38.89% |
7 |
3 |
4 |
42.86% |
57.14% |
83.61 |
2213.03 |
10.60 |
-14.61 |
123.19 |
4.1 |
5.03 |
-0.83 |
6.29 |
| Curveball |
33.33% |
6 |
1 |
5 |
16.67% |
83.33% |
76.54 |
2846.43 |
-5.32 |
10.88 |
303.55 |
10.1 |
5.50 |
-0.53 |
5.62 |
| Four-Seam |
22.22% |
4 |
0 |
4 |
0.00% |
100.00% |
86.42 |
2352.55 |
15.85 |
-10.12 |
145.16 |
4.8 |
5.13 |
-0.74 |
6.27 |
| Sinker |
5.56% |
1 |
1 |
0 |
100.00% |
0.00% |
86.31 |
2281.30 |
10.46 |
-8.32 |
137.51 |
4.6 |
5.15 |
-0.78 |
6.21 |
# 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('Sibley maximum FB velocity: ', max_fb_velocity, '\\n')
## Sibley maximum FB velocity: 87.1 \n
# Prepare data for plotting pitch locations
pitch_location_data <- Sibley_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 Sibley',
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 Sibley',
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')
)
