Player Bowling Stats

Get bowling statistics for one or all players. Includes average, economy rate, strike rate, and derived metrics.

Usage

player_bowling_stats(
  player_id = NULL,
  match_type = NULL,
  season = NULL,
  min_balls = 100,
  source = c("local", "remote"),
  db_path = NULL
)

calculate_player_bowling_stats(
  player_id = NULL,
  match_type = NULL,
  season = NULL,
  min_balls = 100,
  source = c("local", "remote"),
  db_path = NULL
)

Arguments

player_id

Character. Player identifier (e.g., "JJ Bumrah", "Rashid Khan"). If NULL (default), returns stats for all players.

match_type

Character. Filter by match type: "T20", "ODI", "Test", "IT20", "MDM", or NULL for all formats.

season

Character. Filter by season (e.g., "2023", "2023/24").

min_balls

Integer. Minimum balls bowled to include (default 100). Only applies when player_id is NULL.

source

Character. "local" (default) uses local DuckDB for fast SQL aggregation. "remote" loads data from GitHub releases and aggregates in R.

db_path

Character. Database path (only used when source = "local").

Value

Data frame with bowling metrics:

• bowler_id, player_name, balls_bowled, runs_conceded, wickets

• bowling_average, economy_rate, strike_rate, wicket_pct

Examples

if (FALSE) { # \dontrun{
# Get all players' bowling stats
all_bowlers <- player_bowling_stats()

# Get stats for a specific player
bumrah_stats <- player_bowling_stats("JJ Bumrah")

# Get T20 bowling stats for all players
t20_bowlers <- player_bowling_stats(match_type = "T20")

# Get Test bowling stats for a specific player
anderson_tests <- player_bowling_stats("JM Anderson", match_type = "Test")

# Get stats from GitHub releases (no local install needed)
remote_stats <- player_bowling_stats(match_type = "T20", source = "remote")
} # }