# Filter the data for the pitcher Matthew Martinez
Brian_Foley_data <- data %>%
filter(Pitcher == "Martinez, Matthew")
# 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 Matthew Martinez")
Detailed Pitch Table for Matthew Martinez
| Curveball |
73.09 |
2312.80 |
46.35 |
-8.49 |
-6.35 |
StrikeCalled |
6.46 |
1.42 |
4.41 |
1.5 |
| Changeup |
74.05 |
1427.84 |
237.20 |
15.77 |
12.01 |
InPlay |
6.36 |
1.34 |
4.38 |
7.9 |
| Curveball |
73.68 |
2307.48 |
35.14 |
-8.31 |
-10.06 |
StrikeCalled |
6.49 |
1.33 |
4.44 |
1.2 |
| Four-Seam |
85.95 |
2111.53 |
204.55 |
11.21 |
26.01 |
FoulBallNotFieldable |
6.62 |
0.76 |
4.60 |
6.8 |
| Changeup |
74.03 |
1648.75 |
254.34 |
13.98 |
5.65 |
BallCalled |
6.41 |
1.46 |
4.52 |
8.5 |
| Curveball |
74.28 |
2304.09 |
55.97 |
-11.52 |
-6.15 |
FoulBallNotFieldable |
6.48 |
1.31 |
4.03 |
1.9 |
| Changeup |
76.95 |
1639.51 |
255.61 |
16.70 |
5.96 |
InPlay |
6.39 |
1.40 |
4.59 |
8.5 |
| Changeup |
75.78 |
1651.08 |
247.78 |
16.57 |
8.41 |
BallCalled |
6.43 |
1.38 |
4.38 |
8.3 |
| Curveball |
73.90 |
2441.13 |
42.14 |
-6.04 |
-4.86 |
StrikeCalled |
6.47 |
1.17 |
4.33 |
1.4 |
| Curveball |
75.59 |
2476.40 |
35.44 |
-6.66 |
-7.49 |
StrikeCalled |
6.46 |
1.30 |
4.43 |
1.2 |
| Four-Seam |
86.86 |
2132.32 |
215.62 |
13.08 |
19.66 |
BallCalled |
6.73 |
0.68 |
4.67 |
7.2 |
| Curveball |
75.51 |
2357.92 |
33.11 |
-4.52 |
-5.12 |
FoulBallNotFieldable |
6.48 |
1.08 |
4.07 |
1.1 |
| Four-Seam |
87.29 |
2089.39 |
217.82 |
12.34 |
17.20 |
BallCalled |
6.68 |
0.56 |
4.65 |
7.3 |
| Changeup |
78.14 |
1704.03 |
233.88 |
14.54 |
12.26 |
FoulBallNotFieldable |
6.41 |
1.12 |
4.57 |
7.8 |
| Changeup |
77.77 |
1564.45 |
249.47 |
13.71 |
6.78 |
StrikeSwinging |
6.52 |
1.30 |
4.84 |
8.3 |
# 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: 15
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Matthew Martinez")
Summary Pitch Table for Matthew Martinez
| Changeup |
40.00% |
6 |
2 |
4 |
33.33% |
66.67% |
76.12 |
1605.94 |
8.51 |
15.21 |
246.38 |
8.2 |
6.42 |
1.33 |
4.55 |
| Curveball |
40.00% |
6 |
0 |
6 |
0.00% |
100.00% |
74.34 |
2366.64 |
-6.67 |
-7.59 |
41.36 |
1.4 |
6.47 |
1.27 |
4.28 |
| Four-Seam |
20.00% |
3 |
2 |
1 |
66.67% |
33.33% |
86.70 |
2111.08 |
20.96 |
12.21 |
212.66 |
7.1 |
6.68 |
0.67 |
4.64 |
# Calculate maximum fastball velocity
max_fb_velocity <- detailed_pitch_table %>%
filter(AutoPitchType %in% c("Four-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: 87.29 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 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, 26.2)) + # 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")
)
