# Filter the data for the pitcher Nate Isler
Brian_Foley_data <- data %>%
filter(Pitcher == "Isler, Nate")
# 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 Nate Isler")
Detailed Pitch Table for Nate Isler
| Four-Seam |
85.44 |
2124.59 |
192.70 |
4.39 |
20.78 |
StrikeCalled |
6.34 |
1.68 |
5.67 |
6.4 |
| Four-Seam |
85.90 |
2097.73 |
190.17 |
3.41 |
20.29 |
BallCalled |
6.48 |
1.37 |
5.65 |
6.3 |
| Four-Seam |
85.56 |
2118.01 |
190.30 |
3.58 |
21.01 |
StrikeCalled |
6.32 |
1.64 |
5.71 |
6.3 |
| Curveball |
76.24 |
2391.16 |
24.93 |
-8.00 |
-15.57 |
StrikeSwinging |
6.28 |
1.47 |
5.31 |
0.8 |
| Four-Seam |
88.70 |
2224.40 |
183.72 |
1.31 |
21.41 |
BallCalled |
6.42 |
1.07 |
5.79 |
6.1 |
| Four-Seam |
86.28 |
2182.56 |
198.61 |
6.84 |
21.54 |
InPlay |
6.31 |
1.43 |
5.81 |
6.6 |
| Slider |
80.64 |
2205.56 |
160.91 |
-2.31 |
8.20 |
BallCalled |
6.20 |
1.91 |
5.40 |
5.4 |
| Four-Seam |
86.68 |
2137.76 |
198.49 |
7.55 |
23.95 |
StrikeCalled |
6.47 |
1.33 |
5.82 |
6.6 |
| Slider |
79.43 |
1154.42 |
86.38 |
-6.38 |
1.02 |
BallCalled |
6.14 |
1.75 |
5.43 |
2.9 |
| Four-Seam |
86.74 |
2116.41 |
194.87 |
6.31 |
25.14 |
FoulBallNotFieldable |
6.44 |
1.51 |
5.74 |
6.5 |
| Four-Seam |
87.54 |
2054.73 |
202.83 |
8.24 |
20.81 |
InPlay |
6.50 |
1.14 |
5.67 |
6.8 |
| Four-Seam |
86.49 |
2097.41 |
199.70 |
6.85 |
20.40 |
StrikeCalled |
6.31 |
1.39 |
5.86 |
6.7 |
| Four-Seam |
87.54 |
2196.18 |
209.44 |
11.95 |
22.48 |
StrikeCalled |
6.45 |
1.56 |
5.68 |
7.0 |
| Curveball |
76.10 |
2407.83 |
54.53 |
-12.81 |
-7.35 |
InPlay |
6.33 |
1.44 |
5.23 |
1.8 |
# 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 == "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: 14
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Nate Isler")
Summary Pitch Table for Nate Isler
| Curveball |
14.29% |
2 |
0 |
2 |
0.00% |
100.00% |
76.17 |
2399.50 |
-11.46 |
-10.41 |
39.73 |
1.3 |
6.30 |
1.46 |
5.27 |
| Four-Seam |
71.43% |
10 |
2 |
8 |
20.00% |
80.00% |
86.69 |
2134.98 |
21.78 |
6.04 |
196.08 |
6.5 |
6.40 |
1.41 |
5.74 |
| Slider |
14.29% |
2 |
2 |
0 |
100.00% |
0.00% |
80.03 |
1679.99 |
4.61 |
-4.34 |
123.64 |
4.2 |
6.17 |
1.83 |
5.42 |
# 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("Nate Isler maximum FB velocity: ", max_fb_velocity, "mph\n")
## Nate Isler maximum FB velocity: 88.7 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 = -0.75, xmax = 0.75, 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 Nate Isler",
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")
)
