# Filter the data for the pitcher Tyler Cox
Brian_Foley_data <- data %>%
filter(Pitcher == "Cox, Tyler")
# 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 Tyler Cox")
Detailed Pitch Table for Tyler Cox
| Sinker |
87.80 |
2075.29 |
223.08 |
13.99 |
16.14 |
StrikeSwinging |
5.17 |
2.02 |
6.21 |
7.4 |
| Changeup |
85.72 |
1961.27 |
264.57 |
18.49 |
3.02 |
FoulBallNotFieldable |
5.05 |
2.10 |
6.06 |
8.8 |
| Curveball |
72.60 |
2040.95 |
64.92 |
-15.50 |
-5.57 |
InPlay |
5.05 |
2.16 |
5.86 |
2.2 |
| Changeup |
86.17 |
1871.87 |
271.52 |
17.51 |
0.68 |
FoulBallNotFieldable |
5.11 |
2.17 |
6.09 |
9.1 |
| Changeup |
76.39 |
1751.50 |
263.48 |
17.13 |
3.62 |
InPlay |
4.95 |
2.14 |
5.87 |
8.8 |
| Curveball |
72.56 |
1913.67 |
52.85 |
-15.88 |
-10.19 |
BallCalled |
5.37 |
1.78 |
5.44 |
1.8 |
| Changeup |
84.95 |
1870.65 |
257.82 |
15.82 |
4.57 |
StrikeCalled |
5.06 |
2.06 |
6.20 |
8.6 |
| Changeup |
86.06 |
1908.45 |
255.05 |
16.96 |
5.65 |
BallCalled |
5.03 |
2.09 |
6.13 |
8.5 |
| Curveball |
72.21 |
1953.35 |
37.61 |
-13.84 |
-16.19 |
BallCalled |
5.35 |
1.97 |
5.10 |
1.3 |
| Changeup |
85.21 |
1844.09 |
266.72 |
16.50 |
2.05 |
StrikeSwinging |
5.01 |
2.05 |
6.14 |
8.9 |
| Changeup |
84.81 |
1803.44 |
265.45 |
17.15 |
2.47 |
InPlay |
5.07 |
2.05 |
6.13 |
8.8 |
| Changeup |
84.39 |
1876.10 |
256.05 |
17.53 |
5.53 |
InPlay |
5.24 |
2.19 |
5.89 |
8.5 |
| Changeup |
85.14 |
1760.17 |
261.78 |
15.56 |
3.42 |
FoulBallNotFieldable |
5.19 |
1.97 |
6.03 |
8.7 |
| Four-Seam |
87.88 |
1979.73 |
217.14 |
11.43 |
16.27 |
BallCalled |
5.10 |
1.90 |
6.32 |
7.2 |
| Sinker |
87.09 |
1913.01 |
226.53 |
12.58 |
13.12 |
BallCalled |
5.07 |
2.05 |
6.07 |
7.6 |
| Changeup |
84.83 |
1763.23 |
242.62 |
14.48 |
8.71 |
InPlay |
5.08 |
2.13 |
6.13 |
8.1 |
# 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: 16
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Tyler Cox")
Summary Pitch Table for Tyler Cox
| Changeup |
62.50% |
10 |
1 |
9 |
10.00% |
90.00% |
84.37 |
1841.08 |
3.97 |
16.71 |
260.51 |
8.7 |
5.08 |
2.09 |
6.07 |
| Curveball |
18.75% |
3 |
2 |
1 |
66.67% |
33.33% |
72.46 |
1969.32 |
-10.65 |
-15.07 |
51.79 |
1.8 |
5.26 |
1.97 |
5.47 |
| Four-Seam |
6.25% |
1 |
1 |
0 |
100.00% |
0.00% |
87.88 |
1979.73 |
16.27 |
11.43 |
217.14 |
7.2 |
5.10 |
1.90 |
6.32 |
| Sinker |
12.50% |
2 |
1 |
1 |
50.00% |
50.00% |
87.44 |
1994.15 |
14.63 |
13.29 |
224.80 |
7.5 |
5.12 |
2.04 |
6.14 |
# 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("Tyler Cox maximum FB velocity: ", max_fb_velocity, "mph\n")
## Tyler Cox maximum FB velocity: 87.88 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 Tyler Cox",
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")
)
