# Filter the data for the pitcher Jack Eshleman
Brian_Foley_data <- data %>%
filter(Pitcher == "Eshleman, Jack")
# 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 Jack Eshleman")
Detailed Pitch Table for Jack Eshleman
| Four-Seam |
89.82 |
2241.02 |
192.61 |
4.64 |
21.99 |
BallCalled |
6.08 |
1.28 |
6.00 |
6.4 |
| Four-Seam |
89.39 |
2263.31 |
189.71 |
3.33 |
20.77 |
BallCalled |
5.94 |
1.19 |
6.00 |
6.3 |
| Four-Seam |
88.41 |
2220.55 |
188.99 |
3.55 |
23.68 |
StrikeSwinging |
5.99 |
1.15 |
5.85 |
6.3 |
| Four-Seam |
90.15 |
2343.43 |
202.96 |
8.39 |
21.02 |
BallCalled |
6.00 |
1.27 |
5.45 |
6.8 |
| Four-Seam |
88.61 |
2199.44 |
198.65 |
6.90 |
21.74 |
FoulBallNotFieldable |
6.01 |
1.12 |
5.78 |
6.6 |
| Four-Seam |
89.73 |
2212.50 |
187.61 |
3.24 |
25.60 |
BallCalled |
6.09 |
1.20 |
5.58 |
6.3 |
| Four-Seam |
89.11 |
2265.98 |
193.04 |
4.84 |
22.16 |
BallCalled |
6.00 |
1.35 |
5.83 |
6.4 |
| Four-Seam |
88.40 |
2273.17 |
190.68 |
4.19 |
23.54 |
InPlay |
6.02 |
1.15 |
5.83 |
6.4 |
| Slider |
81.60 |
2337.80 |
161.24 |
-2.21 |
7.88 |
FoulBallNotFieldable |
6.01 |
1.42 |
5.52 |
5.4 |
| Slider |
81.75 |
2458.93 |
138.59 |
-9.24 |
11.91 |
BallCalled |
5.93 |
1.45 |
5.71 |
4.6 |
| Four-Seam |
90.48 |
2307.39 |
196.15 |
6.31 |
23.17 |
StrikeSwinging |
6.09 |
1.36 |
5.40 |
6.5 |
| Slider |
83.71 |
2425.18 |
153.99 |
-4.94 |
11.59 |
StrikeSwinging |
5.94 |
1.39 |
5.50 |
5.1 |
| Four-Seam |
90.94 |
2260.33 |
194.37 |
5.56 |
23.05 |
BallCalled |
6.07 |
1.23 |
5.44 |
6.5 |
| Four-Seam |
88.51 |
2295.92 |
202.48 |
8.69 |
22.37 |
BallCalled |
6.01 |
1.22 |
5.73 |
6.7 |
| Four-Seam |
89.60 |
2333.25 |
208.71 |
10.82 |
21.05 |
BallCalled |
6.08 |
1.30 |
5.64 |
7.0 |
| Four-Seam |
88.94 |
2285.73 |
193.04 |
4.67 |
21.48 |
StrikeCalled |
6.09 |
1.14 |
5.78 |
6.4 |
| Four-Seam |
88.82 |
2260.44 |
205.21 |
9.17 |
20.80 |
FoulBallNotFieldable |
6.00 |
1.27 |
5.80 |
6.8 |
| Changeup |
82.52 |
1748.11 |
216.48 |
9.56 |
14.30 |
BallCalled |
5.64 |
1.61 |
5.93 |
7.2 |
| Four-Seam |
90.16 |
2338.29 |
187.01 |
2.62 |
22.48 |
StrikeCalled |
6.12 |
1.06 |
5.63 |
6.2 |
| Slider |
84.21 |
2429.32 |
134.47 |
-5.22 |
6.19 |
FoulBallNotFieldable |
5.89 |
1.23 |
5.69 |
4.5 |
| Slider |
84.46 |
2364.80 |
164.01 |
-1.80 |
7.55 |
InPlay |
5.96 |
1.24 |
5.73 |
5.5 |
# 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: 21
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Jack Eshleman")
Summary Pitch Table for Jack Eshleman
| Changeup |
4.76% |
1 |
1 |
0 |
100.00% |
0.00% |
82.52 |
1748.11 |
14.30 |
9.56 |
216.48 |
7.2 |
5.64 |
1.61 |
5.93 |
| Four-Seam |
71.43% |
15 |
8 |
7 |
53.33% |
46.67% |
89.40 |
2273.38 |
22.33 |
5.79 |
195.41 |
6.5 |
6.04 |
1.22 |
5.72 |
| Slider |
23.81% |
5 |
1 |
4 |
20.00% |
80.00% |
83.15 |
2403.21 |
9.02 |
-4.68 |
150.46 |
5.0 |
5.95 |
1.35 |
5.63 |
# 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("Jack Eshleman maximum FB velocity: ", max_fb_velocity, "mph\n")
## Jack Eshleman maximum FB velocity: 90.94 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 Jack Eshleman",
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, 26)) + # 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")
)
