# Filter the data for the pitcher Matthew Martinez
Matthew_Martinez_data <- data %>%
filter(Pitcher == "Martinez, Matthew")
# Create a detailed table for each pitch
detailed_pitch_table <- Matthew_Martinez_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 Matthew Martinez")
Detailed Pitch Table for Matthew Martinez
Changeup |
74.63 |
1647.45 |
248.03 |
16.01 |
8.13 |
BallCalled |
6.02 |
1.47 |
4.39 |
8.3 |
Changeup |
74.62 |
1561.19 |
254.60 |
14.94 |
5.78 |
StrikeCalled |
5.98 |
1.68 |
4.50 |
8.5 |
Changeup |
86.50 |
1891.10 |
212.36 |
11.99 |
20.11 |
BallCalled |
6.35 |
1.29 |
4.46 |
7.1 |
Changeup |
75.49 |
1485.66 |
229.57 |
12.56 |
12.28 |
InPlay |
6.10 |
1.52 |
4.75 |
7.7 |
Changeup |
76.62 |
1690.30 |
248.61 |
14.59 |
7.22 |
StrikeCalled |
6.15 |
1.55 |
4.53 |
8.3 |
Curveball |
77.06 |
2428.99 |
22.47 |
-3.52 |
-7.24 |
BallCalled |
6.14 |
1.55 |
4.41 |
0.7 |
Changeup |
75.86 |
1647.62 |
251.58 |
14.43 |
6.48 |
InPlay |
6.07 |
1.43 |
4.50 |
8.4 |
Curveball |
76.30 |
2393.27 |
20.51 |
-3.09 |
-6.71 |
StrikeCalled |
6.13 |
1.43 |
4.37 |
0.7 |
Changeup |
76.14 |
1828.52 |
250.80 |
19.62 |
8.46 |
FoulBallNotFieldable |
5.99 |
1.41 |
4.52 |
8.4 |
Changeup |
76.25 |
1642.20 |
255.77 |
16.41 |
5.77 |
InPlay |
5.87 |
1.57 |
4.58 |
8.5 |
Changeup |
76.70 |
1783.08 |
236.14 |
13.41 |
10.65 |
FoulBallNotFieldable |
6.09 |
1.48 |
4.34 |
7.9 |
Changeup |
87.99 |
1550.35 |
232.37 |
15.02 |
12.89 |
InPlay |
6.24 |
1.00 |
4.90 |
7.7 |
Changeup |
78.09 |
1486.82 |
249.21 |
16.75 |
7.99 |
BallCalled |
6.13 |
1.55 |
4.57 |
8.3 |
Changeup |
77.55 |
1659.97 |
248.29 |
16.60 |
8.29 |
InPlay |
6.04 |
1.65 |
4.48 |
8.3 |
Curveball |
77.62 |
2345.58 |
25.63 |
-4.51 |
-7.73 |
BallCalled |
6.16 |
1.23 |
4.37 |
0.9 |
Changeup |
76.57 |
1804.36 |
243.36 |
18.70 |
11.12 |
BallCalled |
6.04 |
1.59 |
4.19 |
8.1 |
Changeup |
77.94 |
1598.21 |
241.89 |
16.02 |
10.21 |
FoulBallNotFieldable |
6.00 |
1.29 |
4.32 |
8.1 |
Curveball |
77.23 |
2335.17 |
27.25 |
-2.97 |
-4.15 |
StrikeCalled |
6.15 |
1.40 |
4.45 |
0.9 |
Changeup |
87.76 |
1612.09 |
224.29 |
12.43 |
13.97 |
InPlay |
6.33 |
0.94 |
4.59 |
7.5 |
# 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: 19
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Matthew Martinez")
Summary Pitch Table for Matthew Martinez
Changeup |
78.95% |
15 |
4 |
11 |
26.67% |
73.33% |
78.58 |
1659.26 |
9.96 |
15.30 |
241.79 |
8.1 |
6.09 |
1.43 |
4.51 |
Curveball |
21.05% |
4 |
2 |
2 |
50.00% |
50.00% |
77.05 |
2375.75 |
-6.46 |
-3.52 |
23.96 |
0.8 |
6.14 |
1.40 |
4.40 |
# 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("Matthew Martinez maximum FB velocity: ", max_fb_velocity, "mph\n")
## Matthew Martinez maximum FB velocity: -Inf mph
# Prepare data for plotting pitch locations
pitch_location_data <- Matthew_Martinez_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 Matthew Martinez",
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")
)
