# Filter the data for the pitcher Nate Isler
Nate_Isler_data <- data %>%
filter(Pitcher == "Isler, Nate")
# Create a detailed table for each pitch
detailed_pitch_table <- Nate_Isler_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 |
87.40 |
2159.75 |
200.34 |
7.49 |
21.56 |
StrikeCalled |
6.52 |
1.12 |
5.53 |
6.7 |
| Curveball |
73.81 |
2384.99 |
31.94 |
-11.07 |
-15.98 |
BallCalled |
6.41 |
1.24 |
5.23 |
1.1 |
| Four-Seam |
88.70 |
2196.49 |
193.47 |
5.13 |
22.76 |
BallCalled |
6.44 |
1.08 |
5.61 |
6.4 |
| Four-Seam |
87.03 |
2119.37 |
195.99 |
5.96 |
22.20 |
BallCalled |
6.49 |
1.10 |
5.65 |
6.5 |
| Four-Seam |
86.16 |
2218.29 |
204.44 |
8.92 |
21.04 |
BallCalled |
6.34 |
1.23 |
5.57 |
6.8 |
| Curveball |
73.31 |
2230.85 |
35.22 |
-9.30 |
-11.21 |
InPlay |
6.30 |
1.14 |
4.91 |
1.2 |
| Changeup |
86.33 |
1812.44 |
202.52 |
7.73 |
19.87 |
StrikeCalled |
6.46 |
1.00 |
5.60 |
6.8 |
| Curveball |
75.68 |
2402.01 |
21.62 |
-4.78 |
-10.37 |
BallCalled |
6.35 |
1.19 |
5.10 |
0.7 |
| Four-Seam |
87.68 |
2049.29 |
191.22 |
4.30 |
22.88 |
BallCalled |
6.55 |
0.73 |
5.64 |
6.4 |
| Four-Seam |
87.36 |
2079.57 |
193.10 |
4.55 |
20.69 |
StrikeCalled |
6.48 |
1.00 |
5.59 |
6.4 |
| Four-Seam |
87.80 |
1963.32 |
190.55 |
3.87 |
21.92 |
StrikeCalled |
6.50 |
0.70 |
5.70 |
6.4 |
| Changeup |
87.25 |
1948.66 |
213.05 |
10.37 |
17.08 |
BallCalled |
6.41 |
1.27 |
5.60 |
7.1 |
| Four-Seam |
87.19 |
2053.76 |
206.32 |
9.41 |
20.24 |
FoulBallNotFieldable |
6.36 |
1.18 |
5.57 |
6.9 |
| Four-Seam |
87.01 |
1960.53 |
203.26 |
7.82 |
19.48 |
BallCalled |
6.36 |
1.32 |
5.62 |
6.8 |
| Four-Seam |
86.42 |
2139.38 |
206.33 |
9.86 |
21.35 |
BallCalled |
6.34 |
1.34 |
5.42 |
6.9 |
| Four-Seam |
86.04 |
2049.78 |
208.67 |
10.20 |
20.03 |
BallCalled |
6.22 |
1.31 |
5.86 |
7.0 |
| Curveball |
72.43 |
2184.24 |
33.63 |
-13.34 |
-17.91 |
BallCalled |
6.24 |
1.18 |
5.18 |
1.1 |
| Four-Seam |
86.44 |
2049.08 |
190.83 |
4.17 |
23.16 |
StrikeSwinging |
6.55 |
1.20 |
5.53 |
6.4 |
| Four-Seam |
85.01 |
2078.03 |
201.36 |
8.54 |
23.27 |
StrikeSwinging |
6.57 |
1.10 |
5.56 |
6.7 |
| Four-Seam |
86.76 |
1936.99 |
195.56 |
5.23 |
20.08 |
FoulBallNotFieldable |
6.50 |
0.95 |
5.62 |
6.5 |
| Four-Seam |
87.26 |
1982.64 |
192.40 |
4.39 |
21.31 |
StrikeSwinging |
6.42 |
0.97 |
5.55 |
6.4 |
| Four-Seam |
86.00 |
1905.89 |
197.06 |
5.84 |
20.39 |
InPlay |
6.56 |
1.06 |
5.49 |
6.6 |
# 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")
## Total number of pitches thrown: 22
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Nate Isler")
Summary Pitch Table for Nate Isler
| Changeup |
9.09% |
2 |
1 |
1 |
50.00% |
50.00% |
86.79 |
1880.55 |
18.48 |
9.05 |
207.79 |
6.9 |
6.44 |
1.14 |
5.60 |
| Curveball |
18.18% |
4 |
3 |
1 |
75.00% |
25.00% |
73.81 |
2300.52 |
-13.87 |
-9.62 |
30.60 |
1.0 |
6.32 |
1.19 |
5.11 |
| Four-Seam |
72.73% |
16 |
7 |
9 |
43.75% |
56.25% |
86.89 |
2058.89 |
21.40 |
6.60 |
198.18 |
6.6 |
6.45 |
1.09 |
5.59 |
# 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 <- Nate_Isler_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 for", unique(detailed_pitch_table$AutoPitchType)),
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")
)
