# Filter the data for the pitcher Joseph Voli
Brian_Foley_data <- data %>%
filter(Pitcher == "Voli, Joseph")
# 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 Joseph Voli")
Detailed Pitch Table for Joseph Voli
| Changeup |
80.44 |
2245.26 |
195.98 |
5.95 |
22.29 |
FoulBallNotFieldable |
5.49 |
1.59 |
6.14 |
6.5 |
| Curveball |
71.89 |
2340.56 |
99.84 |
-8.84 |
3.51 |
BallCalled |
5.33 |
1.70 |
5.21 |
3.3 |
| Curveball |
67.23 |
2133.60 |
66.19 |
-11.39 |
-2.71 |
BallCalled |
5.51 |
1.63 |
4.73 |
2.2 |
| Changeup |
79.10 |
2209.90 |
193.62 |
3.97 |
17.95 |
StrikeSwinging |
5.14 |
1.95 |
5.77 |
6.5 |
| Curveball |
69.32 |
2205.00 |
56.35 |
-8.98 |
-3.96 |
InPlay |
5.37 |
1.72 |
5.42 |
1.9 |
| Curveball |
69.75 |
2273.54 |
83.56 |
-13.06 |
0.44 |
BallCalled |
5.52 |
1.58 |
5.42 |
2.8 |
| Changeup |
78.95 |
2253.38 |
198.74 |
4.70 |
15.36 |
BallCalled |
5.09 |
1.97 |
5.98 |
6.6 |
| Curveball |
69.20 |
2226.67 |
48.90 |
-7.41 |
-4.43 |
BallCalled |
5.45 |
1.78 |
5.31 |
1.6 |
| Curveball |
67.48 |
2056.67 |
56.04 |
-7.58 |
-3.05 |
InPlay |
5.46 |
1.75 |
5.40 |
1.9 |
| Curveball |
69.92 |
2224.03 |
52.72 |
-8.64 |
-4.68 |
BallCalled |
5.29 |
1.65 |
5.38 |
1.8 |
| Curveball |
67.76 |
2161.50 |
45.49 |
-8.55 |
-6.25 |
StrikeCalled |
5.37 |
1.74 |
5.34 |
1.5 |
| Changeup |
81.25 |
2365.34 |
194.55 |
4.93 |
20.51 |
StrikeSwinging |
5.44 |
1.71 |
5.96 |
6.5 |
| Changeup |
72.67 |
1525.09 |
194.47 |
2.78 |
12.77 |
BallCalled |
5.32 |
1.53 |
5.68 |
6.5 |
| Changeup |
82.59 |
2289.83 |
208.79 |
7.29 |
14.69 |
BallCalled |
5.67 |
1.57 |
5.79 |
7.0 |
| Curveball |
70.05 |
2348.77 |
40.45 |
-13.25 |
-13.29 |
FoulBallFieldable |
5.51 |
1.59 |
4.61 |
1.3 |
| Curveball |
69.15 |
2301.99 |
85.61 |
-17.48 |
0.88 |
BallCalled |
5.33 |
1.72 |
5.42 |
2.9 |
| Changeup |
81.28 |
2348.18 |
206.58 |
9.07 |
19.83 |
InPlay |
5.57 |
1.88 |
5.49 |
6.9 |
# 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: 17
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Joseph Voli")
Summary Pitch Table for Joseph Voli
| Changeup |
41.18% |
7 |
3 |
4 |
42.86% |
57.14% |
79.47 |
2176.71 |
17.63 |
5.53 |
198.96 |
6.6 |
5.39 |
1.74 |
5.83 |
| Curveball |
58.82% |
10 |
6 |
4 |
60.00% |
40.00% |
69.17 |
2227.23 |
-3.35 |
-10.52 |
63.52 |
2.1 |
5.41 |
1.69 |
5.22 |
# 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("Joseph Voli maximum FB velocity: ", max_fb_velocity, "mph\n")
## Joseph Voli maximum FB velocity: -Inf 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 Joseph Voli",
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")
)
