# Filter the data for the pitcher Josh Keevan
Brian_Foley_data <- data %>%
filter(Pitcher == "Keevan, Josh")
# 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 Josh Keevan")
Detailed Pitch Table for Josh Keevan
| Changeup |
84.82 |
2199.50 |
131.79 |
-17.24 |
16.82 |
StrikeCalled |
5.66 |
-0.49 |
5.75 |
4.4 |
| Curveball |
75.32 |
2123.69 |
309.20 |
7.19 |
-4.31 |
StrikeCalled |
5.29 |
-0.61 |
4.95 |
10.3 |
| Curveball |
75.39 |
2289.44 |
278.73 |
12.74 |
-0.22 |
BallCalled |
5.39 |
-0.70 |
5.09 |
9.3 |
| Sinker |
86.00 |
2273.69 |
133.87 |
-17.27 |
17.96 |
FoulBallNotFieldable |
5.59 |
-0.46 |
5.73 |
4.5 |
| Changeup |
84.43 |
2184.21 |
130.50 |
-16.78 |
15.72 |
StrikeCalled |
5.61 |
-0.41 |
5.85 |
4.3 |
| Four-Seam |
85.68 |
2292.89 |
140.57 |
-14.02 |
18.45 |
StrikeSwinging |
5.70 |
-0.43 |
5.74 |
4.7 |
| Changeup |
74.47 |
1716.86 |
132.10 |
-12.95 |
13.24 |
InPlay |
5.09 |
-0.68 |
6.28 |
4.4 |
| Changeup |
84.10 |
2208.87 |
131.19 |
-17.22 |
16.44 |
InPlay |
5.68 |
-0.25 |
5.82 |
4.4 |
| Curveball |
77.81 |
2077.15 |
208.15 |
0.23 |
2.01 |
BallCalled |
5.35 |
-0.60 |
5.40 |
6.9 |
| Changeup |
83.69 |
2176.59 |
120.06 |
-20.72 |
13.38 |
StrikeCalled |
5.63 |
-0.43 |
5.75 |
4.0 |
| Changeup |
84.84 |
2178.02 |
121.81 |
-18.62 |
12.92 |
BallCalled |
5.74 |
-0.37 |
5.80 |
4.1 |
| Curveball |
73.54 |
2008.23 |
231.42 |
4.33 |
4.87 |
BallCalled |
5.14 |
-0.84 |
5.37 |
7.7 |
| Changeup |
82.95 |
2053.70 |
123.05 |
-20.12 |
14.54 |
BallCalled |
5.55 |
-0.58 |
5.84 |
4.1 |
| Changeup |
83.98 |
2190.87 |
129.78 |
-17.20 |
15.73 |
StrikeSwinging |
5.64 |
-0.50 |
5.81 |
4.3 |
| Sinker |
86.08 |
2279.63 |
136.26 |
-15.93 |
17.97 |
BallCalled |
5.79 |
-0.43 |
5.86 |
4.5 |
| Changeup |
85.08 |
2187.04 |
131.26 |
-16.31 |
15.68 |
StrikeSwinging |
5.55 |
-0.52 |
5.88 |
4.4 |
| Changeup |
84.91 |
2205.36 |
130.01 |
-18.49 |
16.94 |
FoulBallNotFieldable |
5.73 |
-0.22 |
5.86 |
4.3 |
| Splitter |
85.64 |
2344.36 |
133.25 |
-18.24 |
18.54 |
InPlay |
5.72 |
-0.29 |
5.76 |
4.4 |
# 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: 18
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Josh Keevan")
Summary Pitch Table for Josh Keevan
| Changeup |
55.56% |
10 |
2 |
8 |
20.00% |
80.00% |
83.33 |
2130.10 |
15.14 |
-17.56 |
128.16 |
4.3 |
5.59 |
-0.44 |
5.86 |
| Curveball |
22.22% |
4 |
3 |
1 |
75.00% |
25.00% |
75.52 |
2124.63 |
0.59 |
6.12 |
256.88 |
8.6 |
5.29 |
-0.69 |
5.20 |
| Four-Seam |
5.56% |
1 |
0 |
1 |
0.00% |
100.00% |
85.68 |
2292.89 |
18.45 |
-14.02 |
140.57 |
4.7 |
5.70 |
-0.43 |
5.74 |
| Sinker |
11.11% |
2 |
1 |
1 |
50.00% |
50.00% |
86.04 |
2276.66 |
17.96 |
-16.60 |
135.06 |
4.5 |
5.69 |
-0.44 |
5.80 |
| Splitter |
5.56% |
1 |
0 |
1 |
0.00% |
100.00% |
85.64 |
2344.36 |
18.54 |
-18.24 |
133.25 |
4.4 |
5.72 |
-0.29 |
5.76 |
# 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: 86.08 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 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"),
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")
)
