# Filter the data for the pitcher Keegan Burke
Brian_Foley_data <- data %>%
filter(Pitcher == "Burke, Keegan")
# 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 Keegan Burke")
Detailed Pitch Table for Keegan Burke
| Four-Seam |
86.69 |
2290.54 |
195.44 |
5.74 |
22.07 |
BallCalled |
6.15 |
1.04 |
5.88 |
6.5 |
| Four-Seam |
86.12 |
2313.88 |
195.98 |
6.21 |
22.92 |
StrikeCalled |
6.15 |
0.94 |
5.89 |
6.5 |
| Slider |
80.30 |
2257.49 |
137.75 |
-2.60 |
4.38 |
BallCalled |
5.75 |
1.54 |
5.54 |
4.6 |
| Four-Seam |
86.36 |
2248.22 |
201.08 |
8.18 |
22.51 |
StrikeSwinging |
6.10 |
0.93 |
5.95 |
6.7 |
| Four-Seam |
88.01 |
2330.06 |
211.16 |
11.22 |
19.78 |
BallCalled |
6.17 |
0.85 |
5.58 |
7.0 |
| Four-Seam |
87.75 |
2254.21 |
198.38 |
7.08 |
22.56 |
FoulBallNotFieldable |
6.15 |
0.74 |
5.82 |
6.6 |
| Slider |
82.16 |
2228.60 |
137.39 |
-4.61 |
6.41 |
FoulBallNotFieldable |
5.74 |
1.32 |
5.49 |
4.6 |
| Four-Seam |
86.13 |
2213.05 |
193.37 |
4.60 |
20.60 |
FoulBallNotFieldable |
6.15 |
0.83 |
5.96 |
6.4 |
| Four-Seam |
88.16 |
2252.06 |
213.36 |
10.70 |
17.45 |
InPlay |
6.12 |
0.93 |
5.98 |
7.1 |
| Slider |
82.43 |
2131.90 |
144.94 |
-6.12 |
10.11 |
BallCalled |
5.90 |
1.31 |
5.68 |
4.8 |
| Four-Seam |
87.09 |
2113.90 |
204.46 |
8.11 |
19.08 |
InPlay |
6.13 |
0.90 |
5.82 |
6.8 |
| Slider |
81.36 |
2096.09 |
135.17 |
-6.41 |
7.75 |
StrikeCalled |
5.86 |
1.30 |
5.72 |
4.5 |
| Slider |
82.12 |
2139.11 |
135.15 |
-2.46 |
3.62 |
BallCalled |
5.67 |
1.40 |
5.60 |
4.5 |
| Four-Seam |
85.91 |
2133.80 |
200.28 |
7.27 |
20.92 |
StrikeCalled |
6.19 |
0.91 |
5.94 |
6.7 |
| Curveball |
78.70 |
2251.85 |
4.83 |
-0.86 |
-8.77 |
StrikeCalled |
6.08 |
0.72 |
5.45 |
0.2 |
# 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 Keegan Burke")
Summary Pitch Table for Keegan Burke
| Curveball |
6.67% |
1 |
0 |
1 |
0.00% |
100.00% |
78.70 |
2251.85 |
-8.77 |
-0.86 |
4.83 |
0.2 |
6.08 |
0.72 |
5.45 |
| Four-Seam |
60.00% |
9 |
2 |
7 |
22.22% |
77.78% |
86.91 |
2238.86 |
20.88 |
7.68 |
201.50 |
6.7 |
6.15 |
0.90 |
5.87 |
| Slider |
33.33% |
5 |
3 |
2 |
60.00% |
40.00% |
81.67 |
2170.64 |
6.45 |
-4.44 |
138.08 |
4.6 |
5.78 |
1.37 |
5.61 |
# 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("Keegan Burke maximum FB velocity: ", max_fb_velocity, "mph\n")
## Keegan Burke maximum FB velocity: 88.16 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 Keegan Burke",
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")
)
