# Filter the data for the pitcher Josh Keevan
Josh_Keevan_data <- data %>%
filter(Pitcher == "Keevan, Josh")
# Create a detailed table for each pitch
detailed_pitch_table <- Josh_Keevan_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 Josh Keevan")
Detailed Pitch Table for Josh Keevan
| Changeup |
83.63 |
2090.25 |
136.12 |
-14.47 |
16.44 |
InPlay |
5.52 |
-1.04 |
5.72 |
4.5 |
| Curveball |
75.26 |
1671.91 |
338.24 |
3.92 |
-8.40 |
BallCalled |
5.09 |
-0.81 |
6.00 |
11.3 |
| Changeup |
83.05 |
2040.42 |
135.52 |
-15.66 |
17.33 |
StrikeSwinging |
5.70 |
-0.64 |
5.60 |
4.5 |
| Changeup |
76.81 |
1637.95 |
114.04 |
-13.42 |
7.46 |
FoulBallNotFieldable |
5.19 |
-0.92 |
6.16 |
3.8 |
| Sinker |
85.45 |
2200.40 |
134.37 |
-15.59 |
16.60 |
BallCalled |
5.65 |
-0.75 |
5.90 |
4.5 |
| Changeup |
76.57 |
1741.42 |
119.40 |
-11.10 |
7.72 |
FoulBallNotFieldable |
5.15 |
-0.98 |
6.35 |
4.0 |
| Changeup |
83.66 |
1980.87 |
157.29 |
-7.96 |
20.51 |
InPlay |
5.76 |
-0.43 |
5.86 |
5.2 |
| Changeup |
77.30 |
1608.41 |
98.30 |
-14.35 |
3.63 |
FoulBallNotFieldable |
5.20 |
-0.90 |
6.22 |
3.3 |
| Splitter |
84.68 |
2153.73 |
141.86 |
-14.52 |
19.96 |
BallCalled |
5.66 |
-0.71 |
5.59 |
4.7 |
| Changeup |
77.30 |
1750.88 |
121.58 |
-16.16 |
11.46 |
StrikeSwinging |
5.18 |
-1.00 |
6.30 |
4.1 |
| Curveball |
78.18 |
1632.38 |
72.67 |
-6.09 |
-0.48 |
BallCalled |
5.09 |
-0.97 |
6.14 |
2.4 |
| Sinker |
85.08 |
2177.73 |
134.44 |
-17.43 |
18.47 |
FoulBallNotFieldable |
5.61 |
-0.51 |
5.91 |
4.5 |
| Changeup |
77.16 |
1586.68 |
108.12 |
-14.66 |
6.31 |
StrikeSwinging |
5.06 |
-0.90 |
6.32 |
3.6 |
# 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: 13
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Josh Keevan")
Summary Pitch Table for Josh Keevan
| Changeup |
61.54% |
8 |
0 |
8 |
0.00% |
100.00% |
79.44 |
1804.61 |
11.36 |
-13.47 |
123.80 |
4.1 |
5.34 |
-0.85 |
6.07 |
| Curveball |
15.38% |
2 |
2 |
0 |
100.00% |
0.00% |
76.72 |
1652.14 |
-4.44 |
-1.08 |
205.46 |
6.9 |
5.09 |
-0.89 |
6.07 |
| Sinker |
15.38% |
2 |
1 |
1 |
50.00% |
50.00% |
85.26 |
2189.06 |
17.54 |
-16.51 |
134.40 |
4.5 |
5.63 |
-0.63 |
5.90 |
| Splitter |
7.69% |
1 |
1 |
0 |
100.00% |
0.00% |
84.68 |
2153.73 |
19.96 |
-14.52 |
141.86 |
4.7 |
5.66 |
-0.71 |
5.59 |
# 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("Josh Keevan maximum FB velocity: ", max_fb_velocity, "mph\n")
## Josh Keevan maximum FB velocity: 85.45 mph
# Prepare data for plotting pitch locations
pitch_location_data <- Josh_Keevan_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 Josh Keevan",
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 for", unique(detailed_pitch_table$AutoPitchType)),
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")
)
