# Filter the data for the pitcher Foley
Foley_data <- Keene616 %>%
filter(Pitcher == "Foley, Brian")
# Create a detailed table for each pitch
detailed_pitch_table <- 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 Foley")
Detailed Pitch Table for Foley
| Four-Seam |
92.22 |
2656.97 |
206.79 |
5.42 |
11.74 |
FoulBallNotFieldable |
5.90 |
1.69 |
6.49 |
6.9 |
| Sinker |
92.83 |
2450.67 |
249.70 |
18.07 |
7.83 |
StrikeCalled |
5.88 |
1.68 |
6.57 |
8.3 |
| Four-Seam |
94.51 |
2579.34 |
198.94 |
6.00 |
18.50 |
BallCalled |
6.07 |
1.41 |
6.41 |
6.6 |
| Four-Seam |
92.89 |
2609.97 |
185.83 |
1.51 |
15.90 |
BallCalled |
5.92 |
1.66 |
6.41 |
6.2 |
| Four-Seam |
91.59 |
2558.44 |
216.46 |
8.18 |
12.21 |
BallCalled |
5.83 |
1.65 |
6.24 |
7.2 |
| Four-Seam |
94.42 |
2670.03 |
192.13 |
3.56 |
17.61 |
StrikeSwinging |
6.02 |
1.38 |
6.35 |
6.4 |
| Four-Seam |
93.28 |
2572.62 |
215.28 |
8.12 |
12.46 |
BallCalled |
6.04 |
1.44 |
6.33 |
7.2 |
| Four-Seam |
92.57 |
2652.01 |
202.69 |
7.10 |
18.04 |
FoulBallNotFieldable |
5.96 |
1.55 |
6.37 |
6.8 |
| Sinker |
92.92 |
2316.16 |
237.49 |
17.86 |
12.53 |
StrikeCalled |
5.97 |
1.46 |
6.24 |
7.9 |
| Slider |
80.66 |
2767.98 |
82.43 |
-17.70 |
-0.94 |
StrikeCalled |
5.81 |
1.92 |
5.75 |
2.7 |
| Four-Seam |
93.42 |
2619.61 |
187.99 |
2.43 |
18.33 |
BallCalled |
6.08 |
1.53 |
6.42 |
6.3 |
| Four-Seam |
92.09 |
2581.01 |
197.58 |
3.89 |
13.30 |
BallCalled |
5.96 |
1.61 |
6.38 |
6.6 |
| Four-Seam |
91.77 |
2582.28 |
222.33 |
9.90 |
11.88 |
FoulBallNotFieldable |
5.88 |
1.49 |
6.65 |
7.4 |
| Sinker |
92.53 |
2458.13 |
247.08 |
17.22 |
8.37 |
InPlay |
5.83 |
1.60 |
6.12 |
8.2 |
| Sinker |
90.59 |
2418.60 |
236.08 |
15.65 |
11.55 |
FoulBallNotFieldable |
5.74 |
1.90 |
6.24 |
7.9 |
| Four-Seam |
92.97 |
2540.03 |
215.57 |
11.53 |
17.21 |
BallCalled |
6.09 |
1.58 |
6.24 |
7.2 |
| Four-Seam |
93.02 |
2465.42 |
228.19 |
14.36 |
13.89 |
StrikeCalled |
5.84 |
1.56 |
6.27 |
7.6 |
| Slider |
77.70 |
2713.79 |
81.56 |
-22.57 |
-1.77 |
BallCalled |
5.62 |
1.93 |
5.89 |
2.7 |
| Sinker |
93.46 |
2539.73 |
240.44 |
14.75 |
9.39 |
StrikeSwinging |
5.84 |
1.71 |
6.20 |
8.0 |
| Four-Seam |
94.12 |
2573.47 |
227.82 |
14.58 |
14.26 |
InPlay |
5.81 |
1.74 |
6.27 |
7.6 |
# 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\\n')
## Total number of pitches thrown: 20 \n\n
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Foley")
Summary Pitch Table for Foley
| Four-Seam |
65.00% |
13 |
7 |
6 |
53.85% |
46.15% |
92.99 |
2589.32 |
15.03 |
7.43 |
207.51 |
6.9 |
5.95 |
1.56 |
6.37 |
| Sinker |
25.00% |
5 |
0 |
5 |
0.00% |
100.00% |
92.47 |
2436.66 |
9.93 |
16.71 |
242.16 |
8.1 |
5.85 |
1.67 |
6.27 |
| Slider |
10.00% |
2 |
1 |
1 |
50.00% |
50.00% |
79.18 |
2740.89 |
-1.35 |
-20.13 |
82.00 |
2.7 |
5.72 |
1.92 |
5.82 |
# 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('Foley maximum FB velocity: ', max_fb_velocity, 'mph\\n')
## Foley maximum FB velocity: 94.51 mph\n
# Prepare data for plotting pitch locations
pitch_location_data <- 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) + # Increase point size
geom_rect(aes(xmin = -0.5, xmax = 0.5, ymin = 1.75, ymax = 3.25), fill = NA, color = 'red', linetype = 'solid', size = 1) + # Red box
geom_rect(aes(xmin = -0.75, xmax = 0.75, ymin = 1.5, ymax = 3.5), fill = NA, color = 'black', linetype = 'solid', size = 1) + # Black box
geom_rect(aes(xmin = -1.25, xmax = 1.25, ymin = 1.25, ymax = 3.75), fill = NA, color = 'gray', linetype = 'solid', size = 1) + # Gray box
scale_x_continuous(limits = c(-2, 2)) +
scale_y_continuous(limits = c(0, 5)) +
coord_fixed(ratio = 1) + # Adjust ratio to shrink vertical distance
labs(title = 'Pitch Locations for Foley',
x = 'Horizontal Location (feet)',
y = 'Vertical Location (feet)',
color = 'Swing/Take',
shape = 'Chase') +
facet_wrap(~ AutoPitchType) + # Create individual graphs for each pitch type
geom_text(aes(x = -1.75, y = 5, label = 'RHH'), color = 'black', size = 3, hjust = 0) + # Label for RHH
geom_text(aes(x = 1.75, y = 5, label = 'LHH'), color = 'black', size = 3, hjust = 1) + # Label for LHH
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
labs(title = 'Pitch Movement for Foley',
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')
)
