# Filter the data for the pitcher Tommy Flaherty
Brian_Foley_data <- data %>%
filter(Pitcher == "Flaherty, Tommy")
# 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 Tommy Flaherty")
Detailed Pitch Table for Tommy Flaherty
| Slider |
85.22 |
2306.96 |
170.69 |
-2.14 |
14.18 |
BallCalled |
5.79 |
2.41 |
5.59 |
5.7 |
| Four-Seam |
85.84 |
2259.67 |
193.51 |
3.78 |
16.93 |
BallCalled |
5.69 |
2.37 |
5.84 |
6.5 |
| Four-Seam |
83.73 |
2201.36 |
203.55 |
6.06 |
15.16 |
StrikeCalled |
5.84 |
2.32 |
5.61 |
6.8 |
| Cutter |
85.93 |
2306.97 |
203.16 |
5.97 |
15.17 |
InPlay |
5.83 |
2.18 |
5.68 |
6.8 |
| Slider |
78.98 |
2418.23 |
118.42 |
-12.23 |
8.06 |
FoulBallNotFieldable |
5.74 |
2.48 |
5.03 |
3.9 |
| Slider |
78.79 |
2437.35 |
103.27 |
-10.73 |
4.07 |
InPlay |
5.72 |
2.47 |
5.09 |
3.4 |
| Four-Seam |
87.31 |
2338.29 |
194.59 |
3.70 |
15.30 |
FoulBallNotFieldable |
5.79 |
2.24 |
5.97 |
6.5 |
| Curveball |
72.25 |
2307.01 |
54.60 |
-12.68 |
-7.39 |
StrikeCalled |
5.95 |
2.15 |
5.03 |
1.8 |
| Cutter |
86.60 |
2280.46 |
195.24 |
2.75 |
11.21 |
BallCalled |
5.73 |
2.40 |
5.69 |
6.5 |
| Slider |
78.37 |
2420.41 |
115.05 |
-7.71 |
4.90 |
BallCalled |
5.70 |
2.37 |
5.02 |
3.8 |
| Slider |
85.64 |
2305.57 |
181.87 |
0.29 |
9.95 |
FoulBallNotFieldable |
5.63 |
2.41 |
5.75 |
6.1 |
| Cutter |
85.65 |
2281.18 |
200.40 |
4.93 |
14.30 |
InPlay |
5.71 |
2.21 |
5.87 |
6.7 |
# 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: 12
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Tommy Flaherty")
Summary Pitch Table for Tommy Flaherty
| Curveball |
8.33% |
1 |
0 |
1 |
0.00% |
100.00% |
72.25 |
2307.01 |
-7.39 |
-12.68 |
54.60 |
1.8 |
5.95 |
2.15 |
5.03 |
| Cutter |
25.00% |
3 |
1 |
2 |
33.33% |
66.67% |
86.06 |
2289.54 |
13.56 |
4.55 |
199.60 |
6.7 |
5.76 |
2.26 |
5.75 |
| Four-Seam |
25.00% |
3 |
1 |
2 |
33.33% |
66.67% |
85.63 |
2266.44 |
15.80 |
4.51 |
197.22 |
6.6 |
5.77 |
2.31 |
5.81 |
| Slider |
41.67% |
5 |
2 |
3 |
40.00% |
60.00% |
81.40 |
2377.70 |
8.23 |
-6.50 |
137.86 |
4.6 |
5.72 |
2.43 |
5.30 |
# 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("Tommy Flaherty maximum FB velocity: ", max_fb_velocity, "mph\n")
## Tommy Flaherty maximum FB velocity: 87.31 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 Tommy Flaherty",
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")
)
