# Filter the data for the pitcher Joshua Sibley
Joshua_Sibley_data <- data %>%
filter(Pitcher == "Sibley, Joshua")
# Create a detailed table for each pitch
detailed_pitch_table <- Joshua_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 Joshua Sibley")
Detailed Pitch Table for Joshua Sibley
| Four-Seam |
86.71 |
2323.85 |
152.86 |
-7.15 |
15.11 |
BallCalled |
5.74 |
-0.48 |
5.58 |
5.1 |
| Curveball |
76.24 |
2718.54 |
299.44 |
14.19 |
-6.50 |
BallCalled |
6.00 |
-0.37 |
5.14 |
10.0 |
| Four-Seam |
85.77 |
2292.15 |
162.58 |
-4.06 |
14.19 |
InPlay |
5.75 |
-0.36 |
5.50 |
5.4 |
| Sinker |
85.80 |
2161.76 |
133.81 |
-10.31 |
11.08 |
StrikeCalled |
5.52 |
-0.71 |
5.48 |
4.5 |
| Curveball |
77.55 |
2681.56 |
290.71 |
8.76 |
-1.80 |
FoulBallNotFieldable |
5.88 |
-0.42 |
5.16 |
9.7 |
| Changeup |
86.20 |
2293.04 |
109.66 |
-16.92 |
7.24 |
BallCalled |
5.47 |
-0.80 |
5.66 |
3.7 |
| Changeup |
82.28 |
2007.81 |
117.61 |
-19.27 |
11.45 |
InPlay |
5.46 |
-0.81 |
5.57 |
3.9 |
| Curveball |
77.14 |
2571.64 |
284.20 |
4.03 |
0.48 |
FoulBallNotFieldable |
5.76 |
-0.64 |
5.22 |
9.5 |
| Curveball |
76.67 |
2638.72 |
306.13 |
9.64 |
-5.61 |
BallCalled |
5.90 |
-0.32 |
5.38 |
10.2 |
| Sinker |
86.57 |
2265.67 |
132.30 |
-12.71 |
12.75 |
BallCalled |
5.65 |
-0.49 |
5.47 |
4.4 |
| Four-Seam |
86.39 |
2321.01 |
141.10 |
-10.87 |
14.66 |
BallCalled |
5.61 |
-0.44 |
5.56 |
4.7 |
| Sinker |
86.18 |
2288.30 |
147.11 |
-8.78 |
14.78 |
BallCalled |
5.68 |
-0.36 |
5.64 |
4.9 |
| Sinker |
85.25 |
2208.92 |
133.92 |
-10.22 |
11.02 |
StrikeCalled |
5.54 |
-0.51 |
5.55 |
4.5 |
| Curveball |
77.50 |
2738.33 |
308.84 |
10.79 |
-7.07 |
InPlay |
5.94 |
-0.31 |
5.24 |
10.3 |
# 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, "\n")
## Total number of pitches thrown: 14
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Joshua Sibley")
Summary Pitch Table for Joshua Sibley
| Changeup |
14.29% |
2 |
1 |
1 |
50.00% |
50.00% |
84.24 |
2150.43 |
9.34 |
-18.09 |
113.63 |
3.8 |
5.46 |
-0.80 |
5.62 |
| Curveball |
35.71% |
5 |
2 |
3 |
40.00% |
60.00% |
77.02 |
2669.76 |
-4.10 |
9.48 |
297.86 |
9.9 |
5.90 |
-0.41 |
5.23 |
| Four-Seam |
21.43% |
3 |
2 |
1 |
66.67% |
33.33% |
86.29 |
2312.34 |
14.65 |
-7.36 |
152.18 |
5.1 |
5.70 |
-0.43 |
5.55 |
| Sinker |
28.57% |
4 |
2 |
2 |
50.00% |
50.00% |
85.95 |
2231.16 |
12.41 |
-10.51 |
136.78 |
4.6 |
5.60 |
-0.52 |
5.54 |
# 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("Joshua Sibley maximum FB velocity: ", max_fb_velocity, "mph\n")
## Joshua Sibley maximum FB velocity: 86.71 mph
# Prepare data for plotting pitch locations
pitch_location_data <- Joshua_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) +
geom_rect(aes(xmin = -0.5, xmax = 0.5, ymin = 1.75, ymax = 3.25), fill = NA, color = "red", linetype = "solid", size = 1) +
geom_rect(aes(xmin = -0.75, xmax = 0.75, ymin = 1.5, ymax = 3.5), fill = NA, color = "black", linetype = "solid", size = 1) +
geom_rect(aes(xmin = -1.25, xmax = 1.25, ymin = 1.25, ymax = 3.75), fill = NA, color = "gray", linetype = "solid", size = 1) +
scale_x_continuous(limits = c(-2, 2)) +
scale_y_continuous(limits = c(0, 5)) +
coord_fixed(ratio = 1) +
labs(title = "Pitch Locations for Joshua Sibley",
x = "Horizontal Location (feet)",
y = "Vertical Location (feet)",
color = "Swing/Take",
shape = "Chase") +
facet_wrap(~ AutoPitchType) +
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
# 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
scale_x_continuous(limits = c(-25, 25)) + # Set horizontal limits to +/- 25 inches
scale_y_continuous(limits = c(-25, 25)) + # Set vertical limits to +/- 25 inches
labs(title = paste("Pitch Movement for", unique(detailed_pitch_table$AutoPitchType)),
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")
)
