# 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
Four-Seam |
86.68 |
2222.97 |
200.56 |
6.18 |
17.66 |
FoulBallNotFieldable |
5.96 |
2.24 |
5.75 |
6.7 |
Curveball |
72.32 |
2387.90 |
46.45 |
-14.69 |
-12.26 |
StrikeCalled |
5.92 |
2.10 |
5.00 |
1.5 |
Slider |
80.05 |
2296.92 |
103.86 |
-10.64 |
4.01 |
BallCalled |
5.80 |
2.53 |
5.03 |
3.5 |
Curveball |
74.29 |
2410.79 |
60.96 |
-15.22 |
-6.90 |
InPlay |
5.97 |
2.17 |
5.28 |
2.0 |
Slider |
84.58 |
2115.61 |
207.66 |
5.39 |
11.48 |
FoulBallNotFieldable |
5.92 |
2.23 |
5.81 |
6.9 |
Slider |
77.40 |
2356.48 |
105.76 |
-13.09 |
5.49 |
FoulBallNotFieldable |
5.81 |
2.54 |
5.01 |
3.5 |
Four-Seam |
86.69 |
2248.71 |
199.22 |
4.62 |
14.29 |
BallCalled |
5.94 |
2.18 |
5.78 |
6.6 |
Cutter |
85.17 |
2240.40 |
191.11 |
2.58 |
14.26 |
BallCalled |
5.90 |
2.03 |
5.95 |
6.4 |
Cutter |
85.51 |
2288.86 |
186.62 |
1.69 |
15.76 |
FoulBallNotFieldable |
6.08 |
2.05 |
5.60 |
6.2 |
Four-Seam |
84.98 |
2150.77 |
200.61 |
5.92 |
16.95 |
InPlay |
5.95 |
2.11 |
5.88 |
6.7 |
Four-Seam |
85.03 |
2159.16 |
197.63 |
5.12 |
17.42 |
FoulBallNotFieldable |
6.01 |
2.25 |
5.68 |
6.6 |
Cutter |
85.39 |
2188.15 |
184.21 |
1.05 |
15.33 |
StrikeCalled |
5.82 |
2.05 |
5.92 |
6.1 |
Slider |
77.80 |
2482.27 |
92.40 |
-10.02 |
1.75 |
StrikeSwinging |
5.88 |
2.10 |
5.15 |
3.1 |
Slider |
75.30 |
2307.12 |
91.84 |
-14.46 |
2.01 |
BallCalled |
5.97 |
2.13 |
5.28 |
3.1 |
Cutter |
85.67 |
2160.04 |
176.97 |
-0.91 |
18.28 |
StrikeCalled |
5.90 |
2.27 |
5.91 |
5.9 |
Slider |
78.42 |
2429.58 |
111.16 |
-11.95 |
5.91 |
BallCalled |
5.67 |
2.51 |
5.14 |
3.7 |
Cutter |
86.15 |
2218.31 |
192.29 |
3.14 |
15.54 |
StrikeCalled |
5.90 |
2.23 |
5.99 |
6.4 |
Cutter |
85.72 |
2221.03 |
180.85 |
0.21 |
15.02 |
BallCalled |
5.81 |
2.08 |
6.03 |
6.0 |
Cutter |
85.77 |
2283.46 |
196.60 |
4.70 |
16.91 |
InPlay |
5.87 |
2.10 |
6.05 |
6.6 |
Curveball |
73.36 |
2471.78 |
67.21 |
-19.71 |
-6.53 |
BallCalled |
6.04 |
2.07 |
4.94 |
2.2 |
Curveball |
72.68 |
2394.39 |
60.46 |
-16.58 |
-7.67 |
InPlay |
5.92 |
2.22 |
5.24 |
2.0 |
Curveball |
74.29 |
2435.62 |
71.90 |
-19.15 |
-4.53 |
BallCalled |
5.92 |
2.01 |
5.10 |
2.4 |
Slider |
77.85 |
2463.38 |
97.00 |
-14.66 |
3.28 |
StrikeSwinging |
5.74 |
2.28 |
5.19 |
3.2 |
Cutter |
85.54 |
2244.01 |
191.48 |
2.82 |
15.07 |
StrikeCalled |
5.88 |
2.04 |
5.77 |
6.4 |
Slider |
79.51 |
2443.93 |
138.24 |
-9.87 |
12.48 |
StrikeSwinging |
5.72 |
2.44 |
5.15 |
4.6 |
Cutter |
83.60 |
2218.52 |
180.73 |
0.21 |
17.48 |
StrikeCalled |
5.82 |
2.07 |
5.84 |
6.0 |
Curveball |
70.57 |
2427.41 |
55.65 |
-16.17 |
-9.13 |
BallCalled |
5.93 |
2.13 |
5.14 |
1.9 |
Slider |
84.06 |
2202.73 |
198.29 |
3.22 |
10.95 |
StrikeCalled |
5.79 |
2.37 |
5.88 |
6.6 |
Slider |
78.38 |
2372.64 |
111.46 |
-11.59 |
6.01 |
StrikeSwinging |
5.67 |
2.52 |
5.18 |
3.7 |
Cutter |
84.87 |
2297.92 |
183.93 |
0.88 |
13.96 |
InPlay |
5.87 |
1.92 |
5.81 |
6.1 |
Cutter |
84.81 |
2245.41 |
185.92 |
1.54 |
16.11 |
BallCalled |
5.81 |
2.19 |
5.94 |
6.2 |
Slider |
84.46 |
2217.77 |
196.04 |
2.52 |
10.04 |
BallCalled |
5.73 |
2.29 |
5.84 |
6.5 |
Cutter |
84.53 |
2264.10 |
180.91 |
0.23 |
15.84 |
BallCalled |
5.78 |
2.12 |
5.81 |
6.0 |
Changeup |
84.02 |
2200.36 |
229.13 |
14.91 |
14.18 |
BallCalled |
5.53 |
2.50 |
5.64 |
7.6 |
Cutter |
84.26 |
2219.81 |
189.21 |
2.61 |
17.36 |
BallCalled |
5.77 |
2.09 |
5.76 |
6.3 |
Cutter |
83.42 |
2191.29 |
185.43 |
1.48 |
16.80 |
BallCalled |
5.86 |
2.18 |
5.62 |
6.2 |
Four-Seam |
84.04 |
2158.56 |
198.18 |
5.30 |
17.40 |
StrikeCalled |
5.66 |
2.25 |
5.75 |
6.6 |
Slider |
77.37 |
2392.42 |
99.11 |
-14.57 |
3.92 |
BallCalled |
5.69 |
2.15 |
5.17 |
3.3 |
Slider |
83.61 |
2192.37 |
200.91 |
4.67 |
13.49 |
StrikeCalled |
5.74 |
2.24 |
5.71 |
6.7 |
Slider |
76.48 |
2375.89 |
122.04 |
-10.39 |
7.92 |
BallCalled |
5.75 |
2.36 |
5.19 |
4.1 |
Cutter |
84.08 |
2208.74 |
186.33 |
1.58 |
15.55 |
StrikeSwinging |
5.77 |
2.29 |
5.82 |
6.2 |
Four-Seam |
83.97 |
2255.39 |
201.21 |
5.92 |
16.51 |
BallCalled |
5.79 |
2.22 |
5.81 |
6.7 |
Four-Seam |
83.89 |
2198.27 |
203.04 |
6.68 |
16.94 |
InPlay |
5.91 |
2.21 |
5.75 |
6.8 |
# 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: 43
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Tommy Flaherty")
Summary Pitch Table for Tommy Flaherty
Changeup |
2.33% |
1 |
1 |
0 |
100.00% |
0.00% |
84.02 |
2200.36 |
14.18 |
14.91 |
229.13 |
7.6 |
5.53 |
2.50 |
5.64 |
Curveball |
13.95% |
6 |
3 |
3 |
50.00% |
50.00% |
72.92 |
2421.32 |
-7.84 |
-16.92 |
60.44 |
2.0 |
5.95 |
2.12 |
5.12 |
Cutter |
34.88% |
15 |
6 |
9 |
40.00% |
60.00% |
84.97 |
2232.67 |
15.95 |
1.59 |
186.17 |
6.2 |
5.86 |
2.11 |
5.85 |
Four-Seam |
16.28% |
7 |
2 |
5 |
28.57% |
71.43% |
85.04 |
2199.12 |
16.74 |
5.68 |
200.06 |
6.7 |
5.89 |
2.21 |
5.77 |
Slider |
32.56% |
14 |
6 |
8 |
42.86% |
57.14% |
79.66 |
2332.08 |
7.05 |
-7.53 |
133.98 |
4.5 |
5.78 |
2.34 |
5.34 |
# 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: 86.69 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")
)
