fastRhockey

https://fastrhockey.sportsdataverse.org
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fastRhockey is an R package for accessing hockey data from the NHL, PWHL, and international leagues,...
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### Example: load_nhl_pbp_lite(2026) with output

Source: https://fastrhockey.sportsdataverse.org/reference/load_nhl_pbp_lite.html

Example call wrapped in try() and \donttest{}, showing the returned tibble with 443,569 rows and 94 columns. The output includes metadata lines and a preview of the data.

```r
# \donttest{
  try(load_nhl_pbp_lite(2026))
#> ── NHL play-by-play data (lite) ────────────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-07-22 23:49:22 UTC
#> # A tibble: 443,569 × 94
#>    event_type   event secondary_type event_team_abbr event_team_type description
#>    <chr>        <chr> <chr>          <chr>           <chr>           <chr>      
#>  1 FACEOFF      Face… NA             CHI             away            Jason Dick…
#>  2 PERIOD_START Peri… NA             NA              NA              Start of P…
#>  3 BLOCKED_SHOT Bloc… NA             CHI             away            Brad March…
#>  4 STOP         Stop… NA             NA              NA              Stoppage i…
#>  5 FACEOFF      Face… NA             CHI             away            Jason Dick…
#>  6 GIVEAWAY     Give… NA             FLA             home            Giveaway b…
#>  7 GIVEAWAY     Give… NA             CHI             away            Giveaway b…
#>  8 BLOCKED_SHOT Bloc… NA             CHI             away            Mackie Sam…
#>  9 STOP         Stop… NA             NA              NA              Stoppage i…
#> 10 FACEOFF      Face… NA             FLA             home            Jesper Boq…
#> # ℹ 443,559 more rows
#> # ℹ 88 more variables: period <int>, period_type <chr>, period_time <chr>,
#> #   period_seconds <int>, period_seconds_remaining <int>,
#> #   period_time_remaining <chr>, game_seconds <int>,
#> #   game_seconds_remaining <int>, home_score <int>, away_score <int>,
#> #   event_player_1_name <chr>, event_player_1_type <chr>,
#> #   event_player_1_id <int>, event_player_2_name <chr>, …
# }
```

--------------------------------

### Example: espn_nhl_game_team_record with error output

Source: https://fastrhockey.sportsdataverse.org/reference/espn_nhl_game_team_record.html

Calls espn_nhl_scoreboard to get a game ID, then espn_nhl_game_teams to get a team ID, and finally espn_nhl_game_team_record to fetch the team record. The example is wrapped in try() and shows the error output when the record is unavailable, including the invalid arguments message and an empty data frame.

```r
# \donttest{
  try({
    sb  <- espn_nhl_scoreboard(dates = "20250110")
    eid <- sb$game_id[1]
    tms <- espn_nhl_game_teams(event_id = eid)
    espn_nhl_game_team_record(event_id = eid, team_id = tms$team_id[1])
  })
#> ✖ 2026-10-13 01:52:48.675975: Invalid arguments or no ESPN nhl game record for event 401688263 / team 5 available!
#> ✖ Args: league = "nhl", event_id = "401688263", cid = "401688263", team_id = "5"
#> ✖ Error: The API returned an error
#> data frame with 0 columns and 0 rows
# }
```

--------------------------------

### R example with error handling for espn_wch_game_play_personnel

Source: https://fastrhockey.sportsdataverse.org/reference/espn_wch_game_play_personnel.html

This example uses try() to handle errors. It first gets the scoreboard for a date, extracts the first game ID, gets plays for that game, and then calls espn_wch_game_play_personnel with the event ID and first play ID. The output shows error messages from the API and a resulting empty data frame.

```R
# \donttest{
  try({
    sb  <- espn_wch_scoreboard(dates = "20250110")
    eid <- sb$game_id[1]
    pls <- espn_wch_game_plays(event_id = eid)
    espn_wch_game_play_personnel(event_id = eid, play_id = pls$id[1])
  })
#> ✖ 2026-10-13 01:53:44.776074: 
#> ✖ Args: league = "womens-college-hockey", event_id = NULL, cid = NULL, limit = 1000
#> ✖ Error: The API returned an error
#> ✖ 2026-10-13 01:53:44.808986: 
#> ✖ Args: league = "womens-college-hockey", event_id = NULL, cid = NULL, play_id = NULL
#> ✖ Error: The API returned an error
#> data frame with 0 columns and 0 rows
# }
```

--------------------------------

### Example: nhl_stats_content_module with template_key

Source: https://fastrhockey.sportsdataverse.org/reference/nhl_stats_content_module.html

Example call wrapped in try() and \donttest{}. On failure, prints a message and returns NULL.

```r
# \donttest{
  try(nhl_stats_content_module(template_key = "example"))
#> 2026-10-13 01:58:09.255325: No content module data for 'example'
#> NULL
# }
```

--------------------------------

### qmjhl_schedule() usage and example

Source: https://fastrhockey.sportsdataverse.org/reference/qmjhl_schedule.html

The usage signature shows the function arguments. The example calls qmjhl_schedule() without arguments to get the newest regular season schedule, and the output is a fastRhockey_data tibble with one row per game.

```r
qmjhl_schedule(season = NULL, season_id = NULL)
```

```r
try(qmjhl_schedule()) 
#> ── QMJHL Schedule from HockeyTech ──────────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:59:03 UTC
#> # A tibble: 580 × 12
#>    game_id game_date     game_status home_team home_team_id home_score away_team
#>    <chr>   <chr>         <chr>       <chr>     <chr>        <chr>      <chr>    
#>  1 32940   2026-09-18T1… Final       Newfound… 2            2          Saint Jo…
#>  2 32715   2026-09-18T1… Final SO    Cape Bre… 3            4          Halifax,…
#>  3 32747   2026-09-18T1… Final       Charlott… 7            3          Moncton,…
#>  4 32779   2026-09-18T1… Final       Chicouti… 10           2          Shawinig…
#>  5 32651   2026-09-18T1… Final       Baie-Com… 16           2          Rimouski…
#>  6 33199   2026-09-18T1… Final       Victoria… 17           3          Val-d'Or…
#>  7 32683   2026-09-18T1… Final       Blainvil… 19           2          Rouyn-No…
#>  8 33134   2026-09-18T1… Final       Sherbroo… 60           4          Québec, …
#>  9 32652   2026-09-19T1… Final       Baie-Com… 16           2          Rimouski…
#> 10 32843   2026-09-19T1… Final       Gatineau… 12           4          Rouyn-No…
#> # ℹ 570 more rows
#> # ℹ 5 more variables: away_team_id <chr>, away_score <chr>, venue <chr>,
#> #   season_id <chr>, game_type <chr>
```

--------------------------------

### nhl_meta examples with output

Source: https://fastrhockey.sportsdataverse.org/reference/nhl_meta.html

Three example calls demonstrating each supported mode: no arguments, game_id, and year with series_letter. Each call is wrapped in try() and followed by its printed output. The first returns empty lists for players, teams, and seasonStates; the second returns team and season state data; the third returns playoff-series metadata.

```r
# \donttest{
  try(nhl_meta())
#> $players
#> list()
#> 
#> $teams
#> list()
#> 
#> $seasonStates
#> list()
#> 
  try(nhl_meta(game_id = 2024020001))
#> $teams
#>   tricode teamId            teamSlug      name.default              name.fr
#> 1     NJD      1 new-jersey-devils-1 New Jersey Devils Devils du New Jersey
#> 2     BUF      7    buffalo-sabres-7    Buffalo Sabres    Sabres de Buffalo
#> 
#> $seasonStates
#> $seasonStates$date
#> [1] "2024-10-04"
#> 
#> $seasonStates$gameType
#> [1] 2
#> 
#> $seasonStates$season
#> [1] 20242025
#> 
#> 
#> $gameState
#> [1] "OFF"
#> 
  try(nhl_meta(year = 2024, series_letter = "a"))
#> $seriesTitle
#> [1] "1st Round"
#> 
#> $teams
#> $teams$topSeed
#> $teams$topSeed$name
#> $teams$topSeed$name$default
#> [1] "Florida Panthers"
#> 
#> $teams$topSeed$name$fr
#> [1] "Panthers de la Floride"
#> 
#> 
#> $teams$topSeed$commonName
#> $teams$topSeed$commonName$default
#> [1] "Panthers"
#> 
#> 
#> $teams$topSeed$tricode
#> [1] "FLA"
#> 
#> $teams$topSeed$teamSlug
#> [1] "florida-panthers-13"
#> 
#> 
#> $teams$bottomSeed
#> $teams$bottomSeed$name
#> $teams$bottomSeed$name$default
#> [1] "Tampa Bay Lightning"
#> 
#> $teams$bottomSeed$name$fr
#> [1] "Lightning de Tampa Bay"
#> 
#> 
#> $teams$bottomSeed$commonName
#> $teams$bottomSeed$commonName$default
#> [1] "Lightning"
#> 
#> 
#> $teams$bottomSeed$tricode
#> [1] "TBL"
#> 
#> $teams$bottomSeed$teamSlug
#> [1] "tampa-bay-lightning-14"
#> 
#> 
#> 
# }
```

--------------------------------

### Example: shl_athlete_seasons with athlete_uuid and master_site_instance_id

Source: https://fastrhockey.sportsdataverse.org/reference/shl_athlete_seasons.html

Example call that retrieves season information for a specific athlete. The output is a tibble with 15 rows showing season start years and labels, and includes a message about data update time.

```r
# \donttest{
  shl_athlete_seasons(athlete_uuid = "qQ9-349c7WDv6", master_site_instance_id = "shl1_shl")
#> ── SHL Athlete Seasons Information from www.shl.se ─── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:59:10 UTC
#> # A tibble: 15 × 3
#>    value name      label    
#>    <chr> <chr>     <chr>    
#>  1 2026  2026/2027 2026/2027
#>  2 2025  2025/2026 2025/2026
#>  3 2024  2024/2025 2024/2025
#>  4 2023  2023/2024 2023/2024
#>  5 2022  2022/2023 2022/2023
#>  6 2015  2015/2016 2015/2016
#>  7 2014  2014/2015 2014/2015
#>  8 2013  2013/2014 2013/2014
#>  9 2012  2012/2013 2012/2013
#> 10 2011  2011/2012 2011/2012
#> 11 2010  2010/2011 2010/2011
#> 12 2009  2009/2010 2009/2010
#> 13 2008  2008/2009 2008/2009
#> 14 2007  2007/2008 2007/2008
#> 15 2006  2006/2007 2006/2007
# }

```

--------------------------------

### Example: call nhl_smartlinks()

Source: https://fastrhockey.sportsdataverse.org/reference/nhl_smartlinks.html

Example call to nhl_smartlinks() wrapped in try() to handle errors. The expected output is an empty list.

```r
# \donttest{
  try(nhl_smartlinks())
#> list()
# }
```

--------------------------------

### shl_schedule(season = 2026) example with output

Source: https://fastrhockey.sportsdataverse.org/reference/shl_schedule.html

Example call to shl_schedule() for the 2026 season, showing the returned tibble with 364 rows and 42 columns. The output includes game UUIDs, start times, state, overtime, and shootout flags. The example is wrapped in \donttest{} to avoid CRAN test issues.

```r
# \donttest{
  shl_schedule(season = 2026)
#> ── SHL Schedule Information from www.shl.se ────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:59:25 UTC
#> # A tibble: 364 × 42
#>    game_uuid  raw_start_date_time      start_date_time   state overtime shootout
#>    <chr>      <chr>                    <chr>             <chr> <lgl>    <lgl>   
#>  1 bdhvuc5tex 2025-09-13T13:15:00.000Z 2025-09-13 15:15… post… FALSE    FALSE   
#>  2 c98ytzvqnc 2025-09-13T13:15:00.000Z 2025-09-13 15:15… post… FALSE    FALSE   
#>  3 ohx2e9aofl 2025-09-13T13:15:00.000Z 2025-09-13 15:15… post… FALSE    FALSE   
#>  4 c2ukp33wez 2025-09-13T16:00:00.000Z 2025-09-13 18:00… post… TRUE     FALSE   
#>  5 ds1mrdpfo2 2025-09-13T16:00:00.000Z 2025-09-13 18:00… post… FALSE    FALSE   
#>  6 rdzmudkxwd 2025-09-13T16:00:00.000Z 2025-09-13 18:00… post… FALSE    FALSE   
#>  7 s2a1at20o5 2025-09-13T16:00:00.000Z 2025-09-13 18:00… post… FALSE    FALSE   
#>  8 cexeiyibd5 2025-09-16T17:00:00.000Z 2025-09-16 19:00… post… FALSE    FALSE   
#>  9 gez145lpie 2025-09-16T17:00:00.000Z 2025-09-16 19:00… post… FALSE    FALSE   
#> 10 jhg1bzfao7 2025-09-16T17:00:00.000Z 2025-09-16 19:00… post… FALSE    FALSE   
#> # ℹ 354 more rows
#> # ℹ 36 more variables: ssgt_uuid <chr>, home_team_status <chr>,
#> #   home_team_uuid <chr>, home_team_owner_instance_id <chr>,
#> #   home_team_code <chr>, home_team_names_code <chr>,
#> #   home_team_names_short <chr>, home_team_names_long <chr>,
#> #   home_team_names_full <chr>, home_team_names_code_site <chr>,
#> #   home_team_names_short_site <chr>, home_team_names_full_site <chr>, …
}
```

--------------------------------

### Example: try(nhl_player_spotlight()) with output

Source: https://fastrhockey.sportsdataverse.org/reference/nhl_player_spotlight.html

Example usage wrapped in try() to handle potential errors. The output shows a tibble with 10 rows and 13 columns, including player_id, player_slug, position, sweater_number, team_id, headshot, team_tri_code, and more. The data is updated as of 2026-10-13 01:57:34 UTC.

```r
# \donttest{
  try(nhl_player_spotlight())
#> ── NHL Player Spotlight ────────────────────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:57:34 UTC
#> # A tibble: 10 × 13
#>    player_id player_slug  position sweater_number team_id headshot team_tri_code
#>        <int> <chr>        <chr>             <int>   <int> <chr>    <chr>        
#>  1   8481540 cole-caufie… R                    13       8 https:/… MTL          
#>  2   8484801 macklin-cel… C                    71      28 https:/… SJS          
#>  3   8471675 sidney-cros… C                    87       5 https:/… PIT          
#>  4   8478403 jack-eichel… C                     9      54 https:/… VGK          
#>  5   8480800 quinn-hughe… D                    43      30 https:/… MIN          
#>  6   8477492 nathan-mack… C                    29      21 https:/… COL          
#>  7   8478402 connor-mcda… C                    97      22 https:/… EDM          
#>  8   8486067 gavin-mcken… L                    92      10 https:/… TOR          
#>  9   8471214 alex-ovechk… L                     8      15 https:/… WSH          
#> 10   8485366 matthew-sch… D                    48       2 https:/… NYI          
#> # ℹ 6 more variables: team_logo <chr>, sort_id <int>, name_default <chr>,
#> #   name_cs <chr>, name_fi <chr>, name_sk <chr>
# }
```

--------------------------------

### Example: qmjhl_standings() with output

Source: https://fastrhockey.sportsdataverse.org/reference/qmjhl_standings.html

Example call to qmjhl_standings() wrapped in try(), followed by the printed output showing a tibble with 18 rows and 20 columns. The output includes a data updated timestamp and column names such as team_code, wins, losses, and points.

```r
try(qmjhl_standings())
```

```output
#> ── QMJHL Standings from HockeyTech ─────────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:59:04 UTC
#> # A tibble: 18 × 20
#>    team_code wins  losses ot_losses ot_wins shootout_wins shootout_losses row  
#>    <chr>     <chr>  <dbl> <chr>     <chr>   <chr>         <chr>           <chr>
#>  1 Que       7          1 0         1       0             0               7    
#>  2 SNB       6          1 1         1       2             1               4    
#>  3 Rim       6          2 1         0       0             0               6    
#>  4 NFL       6          3 1         2       0             0               6    
#>  5 Cha       5          4 2         0       1             0               4    
#>  6 Hal       4          1 3         1       2             0               2    
#>  7 Mon       5          3 0         3       1             0               4    
#>  8 Chi       4          5 0         0       0             0               4    
#>  9 Cap       2          3 1         1       0             3               2    
#> 10 BaC       0          7 0         0       0             1               0    
#> 11 She       6          1 1         1       0             0               6    
#> 12 VdO       6          1 1         1       0             0               6    
#> 13 Vic       6          3 0         1       0             0               6    
#> 14 Rou       5          3 2         1       0             0               5    
#> 15 Gat       5          3 2         1       1             0               4    
#> 16 Dru       2          5 0         0       0             2               2    
#> 17 BLB       3          7 0         2       0             0               3    
#> 18 Sha       2          4 1         0       0             0               2    
#> # ℹ 12 more variables: points <dbl>, penalty_minutes <chr>, streak <chr>,
#> #   goals_for <chr>, goals_against <chr>, goals_diff <chr>, percentage <chr>,
#> #   overall_rank <chr>, games_played <dbl>, team_rank <int>, past_10 <chr>,
#> #   team <chr>
```

--------------------------------

### Example: Full team listing and single team by ID

Source: https://fastrhockey.sportsdataverse.org/reference/nhl_stats_team_listing.html

Demonstrates calling nhl_stats_team_listing() without arguments to get the full league listing, and with team_id = 10 to get a single team. The output shows the resulting tibbles with columns id, franchise_id, full_name, league_id, raw_tricode, and tri_code.

```r
# \donttest{
  try(nhl_stats_team_listing())
#> ── NHL Stats Team Listing ──────────────────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:58:13 UTC
#> # A tibble: 62 × 6
#>       id franchise_id full_name              league_id raw_tricode tri_code
#>    <int>        <int> <chr>                      <int> <chr>       <chr>   
#>  1    32           27 Quebec Nordiques             133 QUE         QUE     
#>  2     8            1 Montréal Canadiens           133 MTL         MTL     
#>  3    58            5 Toronto St. Patricks         133 TSP         TSP     
#>  4     7           19 Buffalo Sabres               133 BUF         BUF     
#>  5    46           13 Oakland Seals                133 OAK         OAK     
#>  6    48           23 Kansas City Scouts           133 KCS         KCS     
#>  7    36            3 Ottawa Senators (1917)       133 SEN         SEN     
#>  8    70           NA To be determined             133 TBD         TBD     
#>  9    11           35 Atlanta Thrashers            133 ATL         ATL     
#> 10    45            3 St. Louis Eagles             133 SLE         SLE     
#> # ℹ 52 more rows
  try(nhl_stats_team_listing(team_id = 10))
#> ── NHL Stats Team Listing ──────────────────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:58:14 UTC
#> # A tibble: 1 × 6
#>      id franchise_id full_name           league_id raw_tricode tri_code
#>   <int>        <int> <chr>                   <int> <chr>       <chr>   
#> 1    10            5 Toronto Maple Leafs       133 TOR         TOR     
# }
```

--------------------------------

### Example: qmjhl_leaders() with output

Source: https://fastrhockey.sportsdataverse.org/reference/qmjhl_leaders.html

Example call to qmjhl_leaders() with no arguments, wrapped in try(). The output shows a tibble with 10 rows and 15 columns, including rank, player_id, jersey_number, name, team_id, team_name, team_code, team_logo, and additional variables. The output includes a header indicating data updated timestamp.

```R
try(qmjhl_leaders()) 
#> ── QMJHL Leaders from HockeyTech ───────────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:59:01 UTC
#> # A tibble: 10 × 15
#>     rank player_id jersey_number name      team_id team_name team_code team_logo
#>    <int> <chr>     <chr>         <chr>     <chr>   <chr>     <chr>     <chr>    
#>  1     1 20174     44            Philippe… 15      Val-d'Or… VdO       https://…
#>  2     2 23337     19            James Sc… 9       Québec, … Que       https://…
#>  3     3 19592     13            Matthew … 7       Charlott… Cha       https://…
#>  4     4 19542     24            Mathys D… 18      Rimouski… Rim       https://…
#>  5     5 19527     17            Thomas D… 17      Victoria… Vic       https://…
#>  6     1 19542     24            Mathys D… 18      Rimouski… Rim       https://…
#>  7     2 23736     88            Maxime S… 15      Val-d'Or… VdO       https://…
#>  8     3 23337     19            James Sc… 9       Québec, … Que       https://…
#>  9     4 19547     95            Alexis M… 2       Newfound… NFL       https://…
#> 10     5 23770     71            Alexey V… 17      Victoria… Vic       https://…
#> # ℹ 7 more variables: team_logo_small <chr>, stat_formatted <chr>,
#> #   type_formatted <chr>, photo <chr>, photo_small <chr>, position <chr>,
#> #   division <chr>
```

--------------------------------

### Example: espn_wch_game_team_leaders with error handling

Source: https://fastrhockey.sportsdataverse.org/reference/espn_wch_game_team_leaders.html

This example retrieves the scoreboard for a specific date, extracts the first game ID, gets the teams for that game, and then calls espn_wch_game_team_leaders with the event ID and team ID. The output shows an error because the API returned an error, resulting in an empty data frame.

```r
# \donttest{
  try({
    sb  <- espn_wch_scoreboard(dates = "20250110")
    eid <- sb$game_id[1]
    tms <- espn_wch_game_teams(event_id = eid)
    espn_wch_game_team_leaders(event_id = eid, team_id = tms$team_id[1])
  })
#> ✖ 2026-10-13 01:53:47.059725: 
#> ✖ Args: league = "womens-college-hockey", event_id = NULL, cid = NULL
#> ✖ Error: The API returned an error
#> ✖ 2026-10-13 01:53:47.093696: 
#> ✖ Args: league = "womens-college-hockey", event_id = NULL, cid = NULL, team_id = NULL
#> ✖ Error: The API returned an error
#> data frame with 0 columns and 0 rows
# }

```

--------------------------------

### Example: nhl_goalie_stats_leaders() with output

Source: https://fastrhockey.sportsdataverse.org/reference/nhl_goalie_stats_leaders.html

Example call with default parameters, wrapped in try() and \donttest{}. The output shows a tibble with 20 rows and 15 columns of goalie leader data.

```r
# \donttest{
  try(nhl_goalie_stats_leaders())
#> ── NHL Goalie Stats Leaders ────────────────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:57:31 UTC
#> # A tibble: 20 × 15
#>         id sweater_number headshot          team_abbrev team_logo position value
#>      <int>          <int> <chr>             <chr>       <chr>     <chr>    <dbl>
#>  1 8480280              1 https://assets.n… BOS         https://… G        4    
#>  2 8476999             35 https://assets.n… OTT         https://… G        4    
#>  3 8482661             30 https://assets.n… MIN         https://… G        3    
#>  4 8478048             31 https://assets.n… NYR         https://… G        3    
#>  5 8478872             70 https://assets.n… UTA         https://… G        3    
#>  6 8479979             29 https://assets.n… DAL         https://… G        2    
#>  7 8484170             32 https://assets.n… MTL         https://… G        1    
#>  8 8480193             80 https://assets.n… DET         https://… G        1    
#>  9 8482193             33 https://assets.n… NYR         https://… G        1    
#> 10 8480981             30 https://assets.n… STL         https://… G        1    
#> 11 8480193             80 https://assets.n… DET         https://… G        0.974
#> 12 8479979             29 https://assets.n… DAL         https://… G        0.963
#> 13 8482193             33 https://assets.n… NYR         https://… G        0.946
#> 14 8476999             35 https://assets.n… OTT         https://… G        0.942
#> 15 8483703              1 https://assets.n… PIT         https://… G        0.939
#> 16 8480193             80 https://assets.n… DET         https://… G        0.660
#> 17 8479979             29 https://assets.n… DAL         https://… G        0.743
#> 18 8482193             33 https://assets.n… NYR         https://… G        1.20 
#> 19 8476999             35 https://assets.n… OTT         https://… G        1.34 
#> 20 8484170             32 https://assets.n… MTL         https://… G        1.46 
#> # ℹ 8 more variables: first_name_default <chr>, last_name_default <chr>,
#> #   team_name_default <chr>, team_name_fr <chr>, last_name_cs <chr>,
#> #   last_name_fi <chr>, last_name_sk <chr>, category <chr>
# }
```

--------------------------------

### elh_events() example with output

Source: https://fastrhockey.sportsdataverse.org/reference/elh_events.html

Example call to `elh_events()` with a sample `match_id`, wrapped in `try()` and `\donttest{}`. The output shows a tibble with 120 rows (home and away teams) and columns for start date, team side, team name, team score, minute, shots, and shots on goal.

```r
# \donttest{
  try(elh_events(match_id = 2928321))
#> ── ELH Events Information from hokej.cz ────────────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:51:53 UTC
#> # A tibble: 120 × 7
#>    start_date       team_side team_name    team_score minute shots shots_on_goal
#>    <chr>            <chr>     <chr>             <int>  <int> <int>         <int>
#>  1 2026-10-11 15:00 home      HC Sparta P…          3      1     1             0
#>  2 2026-10-11 15:00 home      HC Sparta P…          3      2     4             0
#>  3 2026-10-11 15:00 home      HC Sparta P…          3      3     5             1
#>  4 2026-10-11 15:00 home      HC Sparta P…          3      4     6             2
#>  5 2026-10-11 15:00 home      HC Sparta P…          3      5     6             2
#>  6 2026-10-11 15:00 home      HC Sparta P…          3      6     9             4
#>  7 2026-10-11 15:00 home      HC Sparta P…          3      7    11             5
#>  8 2026-10-11 15:00 home      HC Sparta P…          3      8    13             6
#>  9 2026-10-11 15:00 home      HC Sparta P…          3      9    14             6
#> 10 2026-10-11 15:00 home      HC Sparta P…          3     10    15             7
#> # ℹ 110 more rows
# }
```

--------------------------------

### Example: nhl_stats_config with try and output

Source: https://fastrhockey.sportsdataverse.org/reference/nhl_stats_config.html

Calls nhl_stats_config() inside try() and shows the resulting configuration list structure, including playerReportData summary and realtime sections.

```R
# \donttest{
  try(nhl_stats_config())
#> $playerReportData
#> $playerReportData$summary
#> $playerReportData$summary$game
#> $playerReportData$summary$game$displayItems
#>  [1] "playerId"           "skaterFullName"     "gameId"            
#>  [4] "opponentTeamAbbrev" "gameDate"           "teamAbbrev"        
#>  [7] "shootsCatches"      "positionCode"       "gamesPlayed"       
#> [10] "goals"              "assists"            "points"            
#> [13] "plusMinus"          "penaltyMinutes"     "pointsPerGame"     
#> [16] "evGoals"            "evPoints"           "ppGoals"           
#> [19] "ppPoints"           "shGoals"            "shPoints"          
#> [22] "otGoals"            "gameWinningGoals"   "shots"             
#> [25] "shootingPct"        "timeOnIcePerGame"   "faceoffWinPct"     
#> 
#> $playerReportData$summary$game$resultFilters
#>  [1] "gamesPlayed"      "goals"            "assists"          "points"          
#>  [5] "plusMinus"        "penaltyMinutes"   "pointsPerGame"    "evGoals"         
#>  [9] "evPoints"         "ppGoals"          "ppPoints"         "shGoals"         
#> [13] "shPoints"         "otGoals"          "gameWinningGoals" "shots"           
#> [17] "shootingPct"      "timeOnIcePerGame" "faceoffWinPct"   
#> 
#> $playerReportData$summary$game$sortKeys
#> [1] "points"  "goals"   "assists"
#> 
#> 
#> $playerReportData$summary$season
#> $playerReportData$summary$season$displayItems
#>  [1] "playerId"         "skaterFullName"   "seasonId"         "teamAbbrevs"     
#>  [5] "shootsCatches"    "positionCode"     "gamesPlayed"      "goals"           
#>  [9] "assists"          "points"           "plusMinus"        "penaltyMinutes"  
#> [13] "pointsPerGame"    "evGoals"          "evPoints"         "ppGoals"         
#> [17] "ppPoints"         "shGoals"          "shPoints"         "otGoals"         
#> [21] "gameWinningGoals" "shots"            "shootingPct"      "timeOnIcePerGame"
#> [25] "faceoffWinPct"   
#> 
#> $playerReportData$summary$season$resultFilters
#>  [1] "gamesPlayed"      "goals"            "assists"          "points"          
#>  [5] "plusMinus"        "penaltyMinutes"   "pointsPerGame"    "evGoals"         
#>  [9] "evPoints"         "ppGoals"          "ppPoints"         "shGoals"         
#> [13] "shPoints"         "otGoals"          "gameWinningGoals" "shots"           
#> [17] "shootingPct"      "timeOnIcePerGame" "faceoffWinPct"   
#> 
#> $playerReportData$summary$season$sortKeys
#> [1] "points"  "goals"   "assists"
#> 
#> 
#> 
#> $playerReportData$realtime
#> $playerReportData$realtime$game
#> $playerReportData$realtime$game$displayItems
#>  [1] "playerId"                    "skaterFullName"             
#>  [3] "gameId"                      "opponentTeamAbbrev"         
#>  [5] "gameDate"                    "teamAbbrev"                 
#>  [7] "shootsCatches"               "positionCode"               
#>  [9] "gamesPlayed"                 "timeOnIcePerGame"           
#> [11] "hits"                        "hitsPer60"                  
#> [13] "blockedShots"                "blockedShotsPer60"          
#> [15] "giveaways"                   "giveawaysPer60"             
#> [17] "takeaways"                   "takeawaysPer60"             
#> [19] "firstGoals"                  "otGoals"                    
#> [21] "emptyNetGoals"               "emptyNetAssists"            
#> [23] "emptyNetPoints"              "totalShotAttempts"          
#> [25] "shotAttemptsBlocked"         "missedShots"                
#> [27] "missedShotWideOfNet"         "missedShotOverNet"          
#> }
```

--------------------------------

### Development Setup Commands

Source: https://fastrhockey.sportsdataverse.org/CONTRIBUTING.html

Run these commands in order to set up the development environment: clone the repository, install all dependencies including Suggests, build documentation, and verify everything works.

```bash
# Clone the repository
# git clone https://github.com/sportsdataverse/fastRhockey.git

# Install all dependencies (including Suggests)
devtools::install_deps(dependencies = TRUE)

# Build documentation
devtools::document()

# Verify everything works
devtools::check()
```

--------------------------------

### Retrieve NHL game broadcasts with espn_nhl_game_broadcasts

Source: https://fastrhockey.sportsdataverse.org/reference/espn_nhl_game_broadcasts.html

This example shows how to use espn_nhl_game_broadcasts to get broadcast information for a specific NHL game. It first calls espn_nhl_scoreboard to get the game ID, then passes it to the broadcasts function. The output is a tibble with 3 rows and 20 columns, including channel, station, and media details.

```R
# \donttest{
  try({
    sb <- espn_nhl_scoreboard(dates = "20250110")
    espn_nhl_game_broadcasts(event_id = sb$game_id[1])
  })
#> ── NHL Game Broadcasts data from ESPN core-v2 ──────── fastRhockey 1.0.0.9000 ──
#> ℹ Data updated: 2026-10-13 01:52:42 UTC
#> # A tibble: 3 × 20
#>   event_id  cid       type_id type_short_name type_long_name type_slug channel
#>   <chr>     <chr>     <chr>   <chr>           <chr>          <chr>       <int>
#> 1 401688263 401688263 1       TV              Television     tv            825
#> 2 401688263 401688263 1       TV              Television     tv           1125
#> 3 401688263 401688263 1       TV              Television     tv            399
#> # ℹ 13 more variables: station <chr>, slug <chr>, priority <int>, lang <chr>,
#> #   region <chr>, partnered <lgl>, market_id <chr>, market_type <chr>,
#> #   media_id <chr>, media_name <chr>, media_short_name <chr>,
#> #   media_call_letters <chr>, media_slug <chr>
# }

```
Tokens:
Raw