# Filter the data for the pitcher William Jaun
Brian_Foley_data <- data %>%
filter(Pitcher == "Jaun, William")
# 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 William Jaun")
Detailed Pitch Table for William Jaun
| Slider |
77.32 |
2247.13 |
259.15 |
12.72 |
4.02 |
BallCalled |
5.88 |
-1.73 |
4.89 |
8.6 |
| Sinker |
88.67 |
2195.75 |
124.59 |
-19.29 |
14.64 |
BallCalled |
5.76 |
-2.06 |
5.30 |
4.2 |
| Four-Seam |
88.64 |
2239.53 |
146.02 |
-14.90 |
23.43 |
BallCalled |
6.02 |
-1.78 |
5.35 |
4.9 |
| Sinker |
88.37 |
2184.36 |
131.22 |
-15.28 |
14.69 |
BallCalled |
5.79 |
-1.78 |
5.24 |
4.4 |
| Sinker |
87.97 |
2218.11 |
134.85 |
-18.42 |
19.66 |
BallCalled |
6.01 |
-1.84 |
5.16 |
4.5 |
| Sinker |
88.40 |
2246.08 |
128.71 |
-17.58 |
15.41 |
FoulBallNotFieldable |
5.82 |
-1.93 |
5.19 |
4.3 |
| Changeup |
78.13 |
1502.29 |
128.18 |
-13.64 |
12.29 |
StrikeSwinging |
5.73 |
-2.03 |
5.40 |
4.3 |
| Changeup |
81.46 |
1487.23 |
140.99 |
-12.40 |
16.72 |
BallCalled |
6.00 |
-1.79 |
5.48 |
4.7 |
| Four-Seam |
86.82 |
2152.03 |
190.09 |
3.88 |
23.10 |
InPlay |
6.17 |
-0.74 |
5.05 |
6.3 |
| Curveball |
72.98 |
2404.34 |
301.76 |
18.21 |
-9.37 |
BallCalled |
6.20 |
-1.54 |
4.70 |
10.1 |
| Changeup |
87.04 |
2152.65 |
117.97 |
-22.14 |
12.99 |
StrikeSwinging |
5.75 |
-1.99 |
5.16 |
3.9 |
| Sinker |
88.18 |
2237.10 |
135.65 |
-17.51 |
19.12 |
BallCalled |
5.76 |
-1.95 |
5.29 |
4.5 |
| Four-Seam |
87.92 |
2271.25 |
138.28 |
-16.42 |
19.66 |
FoulBallNotFieldable |
5.91 |
-1.86 |
5.17 |
4.6 |
| Changeup |
79.46 |
1382.00 |
131.48 |
-8.12 |
8.73 |
BallCalled |
5.78 |
-1.77 |
5.60 |
4.4 |
| Sinker |
87.41 |
2255.27 |
134.16 |
-17.47 |
18.26 |
FoulBallNotFieldable |
5.96 |
-2.07 |
5.35 |
4.5 |
| NA |
88.75 |
2158.53 |
NA |
NA |
NA |
BallCalled |
6.05 |
-1.94 |
5.15 |
NA |
| Four-Seam |
87.41 |
2172.71 |
149.55 |
-10.32 |
18.79 |
BallCalled |
5.79 |
-2.05 |
5.38 |
5.0 |
# 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: 17
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for William Jaun")
Summary Pitch Table for William Jaun
| Changeup |
23.53% |
4 |
2 |
2 |
50.00% |
50.00% |
81.52 |
1631.04 |
12.68 |
-14.07 |
129.66 |
4.3 |
5.82 |
-1.90 |
5.41 |
| Curveball |
5.88% |
1 |
1 |
0 |
100.00% |
0.00% |
72.98 |
2404.34 |
-9.37 |
18.21 |
301.76 |
10.1 |
6.20 |
-1.54 |
4.70 |
| Four-Seam |
23.53% |
4 |
2 |
2 |
50.00% |
50.00% |
87.70 |
2208.88 |
21.25 |
-9.44 |
155.99 |
5.2 |
5.97 |
-1.61 |
5.24 |
| Sinker |
35.29% |
6 |
4 |
2 |
66.67% |
33.33% |
88.17 |
2222.78 |
16.96 |
-17.59 |
131.53 |
4.4 |
5.85 |
-1.94 |
5.26 |
| Slider |
5.88% |
1 |
1 |
0 |
100.00% |
0.00% |
77.32 |
2247.13 |
4.02 |
12.72 |
259.15 |
8.6 |
5.88 |
-1.73 |
4.89 |
| NA |
5.88% |
1 |
1 |
0 |
100.00% |
0.00% |
88.75 |
2158.53 |
NaN |
NaN |
NaN |
NaN |
6.05 |
-1.94 |
5.15 |
# 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("William Jaun maximum FB velocity: ", max_fb_velocity, "mph\n")
## William Jaun maximum FB velocity: 88.67 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", "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 William Jaun",
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")
)
