# Filter the data for the pitcher Moss
Moss_data <- Valley68 %>%
filter(Pitcher == "Moss, Max")
# Create a detailed table for each pitch
detailed_pitch_table <- Moss_data %>%
select(AutoPitchType, RelSpeed, SpinRate, SpinAxis, HorzBreak, InducedVertBreak, PitchCall, RelHeight, RelSide) %>%
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),
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 Moss")
Detailed Pitch Table for Moss
| Changeup |
85.84 |
1690.62 |
244.55 |
18.59 |
10.13 |
BallCalled |
5.02 |
3.22 |
8.2 |
| Changeup |
86.01 |
1851.82 |
237.00 |
18.45 |
13.34 |
InPlay |
4.99 |
3.26 |
7.9 |
| Curveball |
78.55 |
2077.04 |
63.52 |
-4.76 |
-0.94 |
BallCalled |
4.89 |
3.38 |
2.1 |
| Changeup |
87.14 |
1806.09 |
243.92 |
21.45 |
11.81 |
InPlay |
4.91 |
3.25 |
8.1 |
| Changeup |
86.43 |
1755.65 |
251.34 |
19.52 |
7.78 |
StrikeSwinging |
5.03 |
3.30 |
8.4 |
| Changeup |
78.26 |
1666.45 |
255.54 |
17.87 |
6.05 |
BallCalled |
4.73 |
3.45 |
8.5 |
| Changeup |
86.43 |
1894.87 |
247.04 |
18.91 |
9.23 |
StrikeCalled |
4.87 |
3.33 |
8.2 |
| Curveball |
76.60 |
2074.44 |
74.86 |
-10.41 |
-1.40 |
InPlay |
4.75 |
3.56 |
2.5 |
| Changeup |
85.43 |
1756.01 |
247.69 |
16.30 |
7.93 |
FoulBallNotFieldable |
4.81 |
3.55 |
8.3 |
| Changeup |
77.55 |
1779.51 |
258.17 |
19.35 |
5.54 |
StrikeCalled |
4.75 |
3.60 |
8.6 |
| Changeup |
85.64 |
1740.64 |
240.86 |
16.92 |
10.63 |
BallCalled |
4.85 |
3.64 |
8.0 |
| Changeup |
78.99 |
1979.80 |
260.02 |
20.56 |
5.08 |
BallCalled |
4.75 |
3.56 |
8.7 |
| Changeup |
78.35 |
1851.83 |
258.80 |
17.87 |
4.97 |
InPlay |
4.72 |
3.57 |
8.6 |
| Changeup |
86.48 |
1830.24 |
240.96 |
16.43 |
10.33 |
StrikeCalled |
4.90 |
3.38 |
8.0 |
| Curveball |
77.19 |
2126.33 |
79.88 |
-9.01 |
-0.20 |
BallCalled |
4.77 |
3.57 |
2.7 |
| Changeup |
77.42 |
1567.23 |
252.68 |
18.17 |
7.19 |
InPlay |
4.75 |
3.47 |
8.4 |
# Create a summary table
pitch_summary <- detailed_pitch_table %>%
group_by(AutoPitchType) %>%
summarise(
TotalPitches = n(),
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)
)
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Moss")
Summary Pitch Table for Moss
| Changeup |
13 |
4 |
9 |
30.77% |
69.23% |
83.07 |
1782.37 |
8.46 |
18.49 |
249.12 |
8.3 |
4.85 |
3.43 |
| Curveball |
3 |
2 |
1 |
66.67% |
33.33% |
77.45 |
2092.60 |
-0.85 |
-8.06 |
72.75 |
2.4 |
4.80 |
3.50 |
# Prepare data for plotting pitch locations
pitch_location_data <- Moss_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) + # Increase point size
geom_rect(aes(xmin = -0.5, xmax = 0.5, ymin = 1.75, ymax = 3.25), fill = NA, color = "red", linetype = "solid", size = 1) + # Red box
geom_rect(aes(xmin = -0.75, xmax = 0.75, ymin = 1.5, ymax = 3.5), fill = NA, color = "black", linetype = "solid", size = 1) + # Black box
geom_rect(aes(xmin = -1.25, xmax = 1.25, ymin = 1.25, ymax = 3.75), fill = NA, color = "gray", linetype = "solid", size = 1) + # Gray box
scale_x_continuous(limits = c(-2, 2)) +
scale_y_continuous(limits = c(0, 5)) +
coord_fixed(ratio = 1) + # Adjust ratio to shrink vertical distance
labs(title = "Pitch Locations for Moss",
x = "Horizontal Location (feet)",
y = "Vertical Location (feet)",
color = "Swing/Take",
shape = "Chase") +
facet_wrap(~ AutoPitchType) + # Create individual graphs for each pitch type
geom_text(aes(x = -1.75, y = 5, label = "RHH"), color = "black", size = 3, hjust = 0) + # Label for RHH
geom_text(aes(x = 1.75, y = 5, label = "LHH"), color = "black", size = 3, hjust = 1) + # Label for LHH
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
labs(title = "Pitch Movement for Moss",
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")
)
