# Filter the data for the pitcher Isler
Isler_data <- Mystic612 %>%
filter(Pitcher == "Isler, Nate")
# Create a detailed table for each pitch
detailed_pitch_table <- 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 Isler")
Detailed Pitch Table for Isler
| Four-Seam |
88.85 |
2011.21 |
187.42 |
2.68 |
21.85 |
BallCalled |
6.41 |
0.78 |
6.51 |
6.2 |
| Four-Seam |
87.99 |
2025.61 |
197.47 |
7.12 |
23.96 |
FoulBallNotFieldable |
6.50 |
0.89 |
6.32 |
6.6 |
| Four-Seam |
88.63 |
2171.96 |
191.73 |
4.63 |
23.66 |
BallCalled |
6.51 |
0.93 |
6.52 |
6.4 |
| Slider |
77.00 |
2233.44 |
129.51 |
-5.99 |
6.94 |
BallCalled |
5.94 |
1.57 |
5.78 |
4.3 |
| Four-Seam |
87.53 |
2180.49 |
188.28 |
3.77 |
27.50 |
StrikeCalled |
6.42 |
0.79 |
6.27 |
6.3 |
| Four-Seam |
88.48 |
2067.81 |
191.17 |
4.85 |
25.95 |
InPlay |
6.45 |
0.77 |
6.35 |
6.4 |
| Four-Seam |
88.97 |
2158.68 |
187.27 |
2.98 |
24.69 |
StrikeSwinging |
6.55 |
0.45 |
6.45 |
6.2 |
| Four-Seam |
88.75 |
2205.63 |
186.54 |
3.14 |
28.76 |
BallCalled |
6.51 |
0.75 |
6.40 |
6.2 |
| Slider |
76.90 |
2284.14 |
98.83 |
-14.99 |
4.18 |
BallCalled |
5.97 |
1.50 |
5.88 |
3.3 |
| Slider |
77.96 |
2208.35 |
143.97 |
-5.86 |
9.92 |
InPlay |
5.90 |
1.40 |
5.97 |
4.8 |
| Four-Seam |
87.53 |
2015.00 |
200.45 |
7.07 |
20.19 |
BallinDirt |
6.32 |
1.03 |
6.52 |
6.7 |
| Four-Seam |
88.67 |
2351.29 |
189.44 |
4.18 |
26.45 |
FoulBallNotFieldable |
6.38 |
0.92 |
6.52 |
6.3 |
| Four-Seam |
88.35 |
2135.03 |
188.58 |
3.46 |
24.33 |
InPlay |
6.45 |
0.77 |
6.27 |
6.3 |
| Four-Seam |
89.44 |
2153.52 |
199.47 |
7.06 |
21.34 |
InPlay |
6.46 |
1.00 |
6.20 |
6.6 |
| Changeup |
79.42 |
2136.94 |
198.67 |
4.33 |
14.41 |
StrikeSwinging |
5.92 |
1.65 |
6.13 |
6.6 |
| Curveball |
75.81 |
2287.32 |
22.38 |
-7.53 |
-16.47 |
BallCalled |
6.31 |
1.12 |
5.78 |
0.7 |
| Changeup |
77.99 |
1067.78 |
205.34 |
5.95 |
14.13 |
InPlay |
5.92 |
1.62 |
6.14 |
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 == "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: 17
# Display the summary table
knitr::kable(pitch_summary, caption = "Summary Pitch Table for Isler")
Summary Pitch Table for Isler
| Changeup |
11.76% |
2 |
0 |
2 |
0.00% |
100.00% |
78.70 |
1602.36 |
14.27 |
5.14 |
202.00 |
6.7 |
5.92 |
1.64 |
6.14 |
| Curveball |
5.88% |
1 |
1 |
0 |
100.00% |
0.00% |
75.81 |
2287.32 |
-16.47 |
-7.53 |
22.38 |
0.7 |
6.31 |
1.12 |
5.78 |
| Four-Seam |
64.71% |
11 |
3 |
8 |
27.27% |
72.73% |
88.47 |
2134.20 |
24.43 |
4.63 |
191.62 |
6.4 |
6.45 |
0.83 |
6.39 |
| Slider |
17.65% |
3 |
2 |
1 |
66.67% |
33.33% |
77.29 |
2241.98 |
7.01 |
-8.95 |
124.10 |
4.1 |
5.94 |
1.49 |
5.88 |
# 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("Isler maximum FB velocity: ", max_fb_velocity, "mph\n")
## Isler maximum FB velocity: 89.44 mph
# Prepare data for plotting pitch locations
pitch_location_data <- 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) + # 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 Isler",
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 Isler",
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")
)
