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Get Team Info with Smart Matching

Source: R/find.R
get_team_info.Rd

Search for a team by name and return performance statistics. Supports partial names, typos, and case-insensitive input via the built-in fuzzy matching engine.

Usage

get_team_info(team, series = "all", type = "summary", interactive = TRUE)

Arguments

team

Character string of the team name to search for. Supports partial names and common misspellings (e.g., "gibbs" finds Joe Gibbs Racing).

series

Character string ("cup", "nxs", "truck", "all") or a pre-loaded data frame. Default is "all".

type

Character string specifying the return format:

"summary"

Career totals grouped by series (Seasons, Career Races, # of Drivers, Wins, Best Finish, Avg Finish, Laps Raced, Laps Led).

"season"

Season-by-season breakdown (Races, # of Drivers, Wins, Best Finish, Avg Finish, Laps Raced, Laps Led).

"all"

Complete race-by-race results.

interactive

Logical. When TRUE (default) and the R session is interactive, prompts the user to select from multiple matches. When FALSE, silently uses the first match.

Value

A tibble of team statistics (format depends on type), or invisible(NULL) if no match is found.

See also

get_driver_info(), get_manufacturer_info(), load_series(), series_data

Examples

# \donttest{
# Career summary across all series
get_team_info("Joe Gibbs Racing")
#> Team: Joe Gibbs Racing
#> # A tibble: 3 × 9
#>   Series Seasons `Career Races` `# of Drivers`  Wins `Best Finish` `Avg Finish`
#>   <chr>    <int>          <int>          <int> <dbl>         <int>        <dbl>
#> 1 Cup         35           3423             29   235             1         14.4
#> 2 NXS         30           2440             80   224             1         12.9
#> 3 Truck        4             66              3     0             2         16.5
#> # ℹ 2 more variables: `Laps Raced` <int>, `Laps Led` <int>

# Season-by-season Cup data
get_team_info(
  "Joe Gibbs Racing",
  series = "cup",
  type = "season"
)
#> Team: Joe Gibbs Racing
#> # A tibble: 35 × 9
#>    Series Season Races `# of Drivers`  Wins `Best Finish` `Avg Finish`
#>    <chr>   <int> <int>          <int> <dbl>         <int>        <dbl>
#>  1 Cup      1992    28              1     0             2         17.8
#>  2 Cup      1993    29              1     1             1         12.4
#>  3 Cup      1994    28              1     1             1         18.7
#>  4 Cup      1995    28              1     3             1         16.3
#>  5 Cup      1996    27              1     1             1         17.4
#>  6 Cup      1997    31              1     1             1         13.7
#>  7 Cup      1998    32              1     2             1         14.2
#>  8 Cup      1999    34              2     8             1          9.6
#>  9 Cup      2000    34              2    10             1          9.9
#> 10 Cup      2001    36              2     5             1         13.3
#> # ℹ 25 more rows
#> # ℹ 2 more variables: `Laps Raced` <int>, `Laps Led` <int>
# }