# Filter the data for the pitcher Yoon Chae
Brian_Foley_data <- data %>%
filter(Pitcher == "Chae, Yoon")
# Create a detailed table for each pitch
detailed_pitch_table <- Brian_Foley_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 Yoon Chae")
Detailed Pitch Table for Yoon Chae
| Changeup |
80.81 |
2032.78 |
213.70 |
11.19 |
18.36 |
StrikeCalled |
5.82 |
0.92 |
5.63 |
7.1 |
| Curveball |
72.31 |
1923.29 |
58.95 |
-14.63 |
-6.98 |
BallCalled |
5.67 |
0.90 |
5.13 |
2.0 |
| Four-Seam |
82.31 |
2138.51 |
203.39 |
9.97 |
24.55 |
InPlay |
5.81 |
0.94 |
5.68 |
6.8 |
| Curveball |
72.33 |
1824.13 |
50.66 |
-9.59 |
-5.88 |
StrikeCalled |
5.63 |
0.95 |
5.14 |
1.7 |
| Slider |
73.44 |
2013.67 |
116.46 |
-5.38 |
4.45 |
BallCalled |
5.60 |
1.27 |
4.97 |
3.9 |
| Changeup |
79.92 |
2062.88 |
251.49 |
20.21 |
8.25 |
BallCalled |
4.42 |
2.33 |
5.76 |
8.4 |
| Curveball |
73.47 |
1713.37 |
84.15 |
-12.91 |
0.36 |
BallCalled |
5.64 |
1.03 |
5.24 |
2.8 |
| Curveball |
73.63 |
1967.51 |
67.74 |
-16.86 |
-5.09 |
StrikeCalled |
5.60 |
1.06 |
5.14 |
2.3 |
| Four-Seam |
84.00 |
2113.79 |
208.34 |
11.00 |
21.74 |
InPlay |
5.74 |
1.10 |
5.71 |
6.9 |
| Changeup |
72.93 |
1763.62 |
237.16 |
12.02 |
9.66 |
BallCalled |
5.57 |
1.38 |
5.44 |
7.9 |
| Curveball |
72.76 |
1843.77 |
55.93 |
-13.77 |
-7.44 |
StrikeCalled |
5.54 |
1.16 |
5.04 |
1.9 |
| Curveball |
73.44 |
1922.92 |
58.29 |
-9.67 |
-4.03 |
BallCalled |
5.56 |
1.33 |
5.23 |
1.9 |
| Four-Seam |
83.33 |
2238.48 |
213.45 |
12.72 |
20.69 |
BallCalled |
5.71 |
1.11 |
5.53 |
7.1 |
| Curveball |
74.70 |
2016.89 |
56.77 |
-11.06 |
-5.36 |
StrikeSwinging |
5.52 |
1.24 |
5.10 |
1.9 |
| Curveball |
74.00 |
1803.64 |
101.68 |
-12.66 |
4.18 |
StrikeSwinging |
5.54 |
1.13 |
5.06 |
3.4 |
# 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 %in% c("BallCalled", "BallinDirt")),
Strikes = sum(!PitchCall %in% c("BallCalled", "BallinDirt")), # 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: 15
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Yoon Chae")
Summary Pitch Table for Yoon Chae
| Changeup |
20.00% |
3 |
2 |
1 |
66.67% |
33.33% |
77.89 |
1953.09 |
12.09 |
14.47 |
234.12 |
7.8 |
5.27 |
1.54 |
5.61 |
| Curveball |
53.33% |
8 |
3 |
5 |
37.50% |
62.50% |
73.33 |
1876.94 |
-3.78 |
-12.64 |
66.77 |
2.2 |
5.59 |
1.10 |
5.14 |
| Four-Seam |
20.00% |
3 |
1 |
2 |
33.33% |
66.67% |
83.21 |
2163.59 |
22.33 |
11.23 |
208.39 |
6.9 |
5.75 |
1.05 |
5.64 |
| Slider |
6.67% |
1 |
1 |
0 |
100.00% |
0.00% |
73.44 |
2013.67 |
4.45 |
-5.38 |
116.46 |
3.9 |
5.60 |
1.27 |
4.97 |
# Calculate maximum fastball velocity
max_fb_velocity <- detailed_pitch_table %>%
filter(AutoPitchType %in% c("Four-Seam", "Sinker", "Cutter")) %>%
summarise(MaxFBVelocity = max(ReleaseSpeed, na.rm = TRUE)) %>%
pull(MaxFBVelocity)
# Display the maximum fastball velocity
cat("Yoon Chae maximum FB velocity: ", max_fb_velocity, "mph\n")
## Yoon Chae maximum FB velocity: 84 mph
# Prepare data for plotting pitch locations
pitch_location_data <- Brian_Foley_data %>%
select(AutoPitchType, PlateLocHeight, PlateLocSide, PitchCall) %>%
rename(
PitchHeight = PlateLocHeight,
PitchSide = PlateLocSide
) %>%
mutate(
SwingTake = ifelse(PitchCall %in% c("StrikeSwinging", "FoulBall", "FoulBallFieldable", "FoulBallNotFieldable", "InPlay"), "Swing", "Take"),
Chase = ifelse(SwingTake == "Swing" & (PitchSide < -0.85 | PitchSide > 0.85 | 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 = -0.85, xmax = 0.85, 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 Yoon Chae",
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
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"),
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")
)
