# Filter the data for the pitcher Max Moss
Brian_Foley_data <- data %>%
filter(Pitcher == "Moss, Max")
# 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 Max Moss")
Detailed Pitch Table for Max Moss
| Changeup |
76.95 |
1657.61 |
250.71 |
19.28 |
8.33 |
StrikeCalled |
4.96 |
3.48 |
5.25 |
8.4 |
| Changeup |
86.46 |
1877.05 |
231.25 |
14.89 |
13.28 |
FoulBallNotFieldable |
4.91 |
3.36 |
5.29 |
7.7 |
| Changeup |
76.29 |
1346.41 |
254.89 |
15.68 |
5.69 |
FoulBallNotFieldable |
4.73 |
3.46 |
5.27 |
8.5 |
| Changeup |
77.06 |
1613.12 |
260.59 |
17.56 |
4.42 |
FoulBallNotFieldable |
4.83 |
3.51 |
5.37 |
8.7 |
| Changeup |
86.49 |
1801.13 |
242.86 |
18.14 |
10.56 |
BallCalled |
4.86 |
3.29 |
5.21 |
8.1 |
| Changeup |
78.10 |
1839.85 |
251.95 |
19.54 |
7.86 |
FoulBallNotFieldable |
4.75 |
3.44 |
5.33 |
8.4 |
| Changeup |
86.40 |
1916.99 |
249.54 |
19.30 |
8.43 |
StrikeCalled |
4.99 |
3.12 |
5.46 |
8.3 |
| Changeup |
78.33 |
1735.02 |
258.93 |
15.82 |
4.55 |
StrikeCalled |
4.80 |
3.38 |
5.24 |
8.6 |
| Changeup |
78.25 |
1883.87 |
258.63 |
19.01 |
5.32 |
BallCalled |
4.64 |
3.38 |
5.17 |
8.6 |
| Changeup |
87.26 |
1872.80 |
231.65 |
15.54 |
13.50 |
StrikeCalled |
4.97 |
3.29 |
5.40 |
7.7 |
| Changeup |
78.89 |
1679.63 |
261.60 |
14.51 |
3.56 |
InPlay |
4.62 |
3.39 |
5.29 |
8.7 |
| Changeup |
86.57 |
2008.58 |
233.66 |
15.00 |
12.29 |
BallCalled |
4.87 |
3.48 |
5.30 |
7.8 |
| Changeup |
85.84 |
1706.32 |
234.62 |
16.34 |
12.84 |
BallCalled |
4.90 |
3.48 |
5.22 |
7.8 |
| Changeup |
86.31 |
1619.05 |
256.72 |
17.82 |
5.36 |
FoulBallNotFieldable |
4.94 |
3.31 |
5.34 |
8.6 |
| Changeup |
79.18 |
1843.60 |
264.78 |
18.16 |
3.11 |
StrikeSwinging |
4.73 |
3.37 |
5.37 |
8.8 |
| Changeup |
78.12 |
1787.16 |
255.33 |
18.33 |
6.35 |
BallCalled |
4.72 |
3.46 |
5.39 |
8.5 |
| Changeup |
77.58 |
1791.62 |
258.17 |
19.20 |
5.62 |
StrikeSwinging |
4.69 |
3.43 |
5.22 |
8.6 |
| Changeup |
87.91 |
1958.69 |
243.40 |
18.95 |
10.76 |
StrikeCalled |
4.86 |
3.25 |
5.30 |
8.1 |
| Curveball |
76.84 |
2158.14 |
69.03 |
-12.18 |
-3.12 |
BallCalled |
4.71 |
3.43 |
4.92 |
2.3 |
| Slider |
76.56 |
2280.31 |
90.60 |
-11.93 |
1.60 |
FoulBallNotFieldable |
4.75 |
3.43 |
5.07 |
3.0 |
| Changeup |
79.03 |
1751.55 |
264.94 |
13.83 |
2.74 |
BallCalled |
4.59 |
3.32 |
5.43 |
8.8 |
| Changeup |
87.30 |
1886.34 |
231.49 |
13.22 |
11.73 |
BallCalled |
4.86 |
3.13 |
5.39 |
7.7 |
| Curveball |
77.34 |
2228.27 |
49.40 |
-8.89 |
-6.11 |
InPlay |
4.87 |
3.03 |
5.11 |
1.6 |
# 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: 23
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Max Moss")
Summary Pitch Table for Max Moss
| Changeup |
86.96% |
20 |
7 |
13 |
35.00% |
65.00% |
81.92 |
1778.82 |
7.82 |
17.01 |
249.79 |
8.3 |
4.81 |
3.37 |
5.31 |
| Curveball |
8.70% |
2 |
1 |
1 |
50.00% |
50.00% |
77.09 |
2193.20 |
-4.62 |
-10.54 |
59.22 |
2.0 |
4.79 |
3.23 |
5.02 |
| Slider |
4.35% |
1 |
0 |
1 |
0.00% |
100.00% |
76.56 |
2280.31 |
1.60 |
-11.93 |
90.60 |
3.0 |
4.75 |
3.43 |
5.07 |
# 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("Max Moss maximum FB velocity: ", max_fb_velocity, "mph\n")
## Max Moss 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", "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 Max Moss",
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")
)
