# Filter the data for the pitcher Derek Benzinger
Brian_Foley_data <- data %>%
filter(Pitcher == "Benzinger, Derek")
# 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 Derek Benzinger")
Detailed Pitch Table for Derek Benzinger
Four-Seam |
90.36 |
2163.06 |
219.84 |
14.13 |
18.22 |
FoulBallNotFieldable |
5.72 |
1.39 |
5.71 |
7.3 |
Changeup |
87.67 |
1933.14 |
253.46 |
19.08 |
6.98 |
StrikeSwinging |
5.45 |
1.59 |
5.87 |
8.4 |
Sinker |
89.58 |
2113.32 |
230.68 |
16.35 |
14.69 |
BallCalled |
5.64 |
1.42 |
5.66 |
7.7 |
Sinker |
89.02 |
2003.69 |
234.70 |
14.27 |
11.27 |
BallCalled |
5.49 |
1.55 |
5.88 |
7.8 |
Slider |
79.68 |
2449.58 |
94.98 |
-8.25 |
2.06 |
FoulBallNotFieldable |
5.47 |
1.63 |
5.74 |
3.2 |
Sinker |
88.08 |
1921.88 |
249.52 |
15.66 |
7.06 |
InPlay |
5.48 |
1.46 |
5.86 |
8.3 |
Changeup |
87.11 |
1920.23 |
220.89 |
12.69 |
16.01 |
BallCalled |
5.62 |
1.45 |
5.84 |
7.4 |
Slider |
85.10 |
2252.01 |
211.19 |
4.84 |
9.27 |
StrikeCalled |
5.34 |
1.57 |
6.01 |
7.0 |
Changeup |
86.65 |
1938.04 |
231.62 |
14.07 |
12.55 |
StrikeCalled |
5.52 |
1.61 |
5.88 |
7.7 |
Four-Seam |
87.58 |
2028.38 |
220.17 |
11.48 |
14.93 |
BallCalled |
5.61 |
1.59 |
5.86 |
7.3 |
Slider |
78.06 |
2519.28 |
106.12 |
-4.84 |
2.79 |
FoulBallNotFieldable |
5.48 |
1.48 |
5.70 |
3.5 |
Four-Seam |
89.47 |
2113.75 |
220.90 |
13.42 |
16.71 |
FoulBallNotFieldable |
5.69 |
1.39 |
5.91 |
7.4 |
Four-Seam |
90.17 |
2217.43 |
214.89 |
13.18 |
20.13 |
InPlay |
5.71 |
1.37 |
5.68 |
7.2 |
Cutter |
84.03 |
2176.70 |
179.59 |
-0.10 |
15.65 |
BallCalled |
5.49 |
1.61 |
6.16 |
6.0 |
Sinker |
88.46 |
1894.99 |
241.18 |
14.20 |
9.01 |
BallCalled |
5.52 |
1.44 |
5.92 |
8.0 |
Slider |
79.90 |
2415.50 |
81.28 |
-8.42 |
0.23 |
StrikeCalled |
5.45 |
1.57 |
5.54 |
2.7 |
Sinker |
88.32 |
2072.23 |
236.46 |
16.03 |
11.88 |
FoulBallNotFieldable |
5.66 |
1.42 |
5.84 |
7.9 |
Changeup |
82.57 |
2015.97 |
252.27 |
18.56 |
7.62 |
InPlay |
5.40 |
1.58 |
6.34 |
8.4 |
Slider |
77.92 |
2416.36 |
130.62 |
-6.32 |
6.93 |
StrikeCalled |
5.56 |
1.54 |
5.68 |
4.4 |
Four-Seam |
88.35 |
2272.70 |
212.56 |
12.65 |
21.19 |
StrikeCalled |
5.81 |
1.10 |
5.89 |
7.1 |
Slider |
78.87 |
2614.89 |
94.77 |
-10.84 |
2.48 |
FoulBallNotFieldable |
5.52 |
1.23 |
5.57 |
3.2 |
Four-Seam |
89.71 |
2194.89 |
205.95 |
9.85 |
21.45 |
BallCalled |
5.80 |
1.10 |
5.81 |
6.9 |
Slider |
79.18 |
2507.56 |
95.08 |
-5.28 |
1.90 |
InPlay |
5.49 |
1.37 |
5.83 |
3.2 |
Slider |
81.99 |
2256.83 |
188.73 |
1.75 |
12.85 |
BallCalled |
5.55 |
1.48 |
5.75 |
6.3 |
Slider |
77.86 |
2417.72 |
92.51 |
-9.24 |
1.80 |
StrikeCalled |
5.50 |
1.36 |
5.68 |
3.1 |
Four-Seam |
87.60 |
2067.20 |
202.19 |
6.65 |
17.65 |
BallCalled |
5.54 |
1.46 |
6.00 |
6.7 |
Cutter |
83.93 |
2251.11 |
194.23 |
3.80 |
16.35 |
StrikeSwinging |
5.62 |
1.30 |
5.75 |
6.5 |
Slider |
78.73 |
2496.85 |
105.46 |
-5.11 |
2.89 |
InPlay |
5.47 |
1.30 |
5.82 |
3.5 |
Four-Seam |
89.98 |
2219.42 |
210.76 |
11.61 |
20.73 |
BallCalled |
5.74 |
0.97 |
5.90 |
7.0 |
Curveball |
77.94 |
2483.98 |
82.07 |
-6.27 |
0.56 |
InPlay |
5.53 |
1.35 |
5.77 |
2.7 |
# 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 == "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: 30
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Derek Benzinger")
Summary Pitch Table for Derek Benzinger
Changeup |
13.33% |
4 |
1 |
3 |
25.00% |
75.00% |
86.00 |
1951.85 |
10.79 |
16.10 |
239.56 |
8.0 |
5.50 |
1.56 |
5.98 |
Curveball |
3.33% |
1 |
0 |
1 |
0.00% |
100.00% |
77.94 |
2483.98 |
0.56 |
-6.27 |
82.07 |
2.7 |
5.53 |
1.35 |
5.77 |
Cutter |
6.67% |
2 |
1 |
1 |
50.00% |
50.00% |
83.98 |
2213.90 |
16.00 |
1.85 |
186.91 |
6.2 |
5.56 |
1.46 |
5.96 |
Four-Seam |
26.67% |
8 |
4 |
4 |
50.00% |
50.00% |
89.15 |
2159.60 |
18.88 |
11.62 |
213.41 |
7.1 |
5.70 |
1.30 |
5.84 |
Sinker |
16.67% |
5 |
3 |
2 |
60.00% |
40.00% |
88.69 |
2001.22 |
10.78 |
15.30 |
238.51 |
7.9 |
5.56 |
1.46 |
5.83 |
Slider |
33.33% |
10 |
1 |
9 |
10.00% |
90.00% |
79.73 |
2434.66 |
4.32 |
-5.17 |
120.07 |
4.0 |
5.48 |
1.45 |
5.73 |
# 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("Derek Benzinger maximum FB velocity: ", max_fb_velocity, "mph\n")
## Derek Benzinger maximum FB velocity: 90.36 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 = -0.85, 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 Derek Benzinger",
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")
)
