Get NCAA Baseball Game Logs
Arguments
- player_id
A player's unique id. Can be found using the get_ncaa_baseball_roster function.
- year
The year of interest.
- type
The kind of statistics you want to return. Current options are 'batting' or 'pitching'.
- span
The span of time; can either be 'game' for game logs in a season, or 'career' which returns seasonal stats for a player's career.
- ...
Additional arguments passed to an underlying function like httr.
Value
A data frame containing player and school information as well as game by game statistics
| col_name | types |
| player_id | numeric |
| player_name | character |
| Date | character |
| Opponent | character |
| Result | character |
| App | numeric |
| G | numeric |
| GS | numeric |
| IP | numeric |
| CG | numeric |
| H | numeric |
| R | numeric |
| ER | numeric |
| BB | numeric |
| SO | numeric |
| SHO | numeric |
| BF | numeric |
| P-OAB | numeric |
| 2B-A | numeric |
| 3B-A | numeric |
| Bk | numeric |
| HR-A | numeric |
| WP | numeric |
| HB | numeric |
| IBB | numeric |
| Inh Run | numeric |
| Inh Run Score | numeric |
| SHA | numeric |
| SFA | numeric |
| Pitches | numeric |
| GO | numeric |
| FO | numeric |
| W | numeric |
| L | numeric |
| SV | numeric |
| OrdAppeared | numeric |
| KL | numeric |
| pickoffs | character |
Examples
# \donttest{
try(ncaa_game_logs(player_id = 2649785, year = 2023, type = "pitching", span = "game"))
#> 2026-06-08 11:09:39.394104: Invalid arguments provided
#> data frame with 0 columns and 0 rows
try(ncaa_game_logs(player_id = 2477974, year = 2023, type = "pitching", span = "career"))
#> 2026-06-08 11:09:44.595033: Invalid arguments provided
#> data frame with 0 columns and 0 rows
try(ncaa_game_logs(player_id = 2680961, year = 2023, type = "batting", span = "game"))
#> 2026-06-08 11:09:52.820155: Invalid arguments provided
#> data frame with 0 columns and 0 rows
try(ncaa_game_logs(player_id = 2486588, year = 2023, type = "batting", span = "career"))
#> 2026-06-08 11:09:57.999532: Invalid arguments provided
#> data frame with 0 columns and 0 rows
# }