NHL Player, Goalie & Team Stats by Season

What does NHL Player, Goalie & Team Stats by Season do?

NHL Player, Goalie & Team Stats returns National Hockey League season statistics as one row per skater, goalie or team. Choose the report, a season since 1917, and regular season, playoffs or preseason, then rank by any statistic such as points, goals, wins, save percentage or goals-against average. Each row has the rank, name, team, position, games played and a stats object with every published statistic as numbers. Filter by team or player name.

Why use NHL Player, Goalie & Team Stats by Season?

• Skaters, goalies and teams in one Actor and one layout.
• Any season and any ranking stat.
• Playoff and preseason splits as well as the regular season.
• Every statistic as a number in one stats object.
• Works logged out; no key needed.

What makes this different

NHL stat pages show one view at a time. This Actor returns skater, goalie and team season tables with every published statistic, ranked by the stat you pick and filtered by team or player, so a season model dataset is one run.

How it works

1. Your input — choose the report, season, game type and sort stat.
2. The Actor collects it — the Actor collects the full table and applies your filters.
3. Your output — you get one clean row per skater, goalie or team.

What data can you extract?

The dataset has 12 fields per row:

Field	Type	Description
report	string	skater, goalie or team.
season	number	NHL season id, for example 20252026.
gameType	string	regular, playoffs or preseason.
rank	number	Rank by the sort stat.
playerId	number	Player identifier (null for teams).
name	string	Player or team name.
teamId	number	Team identifier.
team	string	Team abbreviation or name.
position	string	Position (skaters).
gamesPlayed	number	Games played.
stats	object	Every statistic for the row.
scrapedAt	string	Collection time (ISO 8601).

How to use NHL Player, Goalie & Team Stats by Season

1. Open the Actor and go to the Input tab.
2. Choose the Report, set the Season start year (or leave empty), optionally set Sort by and filters, and choose Max rows.
3. Optionally set filters and a Max results limit.
4. Click Start. A default run finishes in under a minute.
5. Open the Output tab, then download the dataset or connect it to your tools.

Input Parameters

Parameter	Type	Required	Default	Description
report	string	No	"skater"	Skater stats, goalie stats or team stats.
season	integer	No	—	The year the season starts, for example 2025 for 2025-26. Leave empty for the latest season with games.
gameType	string	No	"regular"	Regular season, playoffs or preseason.
sortStat	string	No	—	Statistic to rank by, for example points, goals, assists, wins, savePct, goalsAgainstAverage. Leave empty for points (skaters, teams) or wins (goalies).
teams	array	No	[]	Only rows for teams matching these abbreviations or names, for example EDM, Bruins.
players	array	No	[]	Only players whose name contains one of these words.
maxRows	integer	No	5	Maximum number of rows returned. Default is 5 for a quick test; set 0 to return everything available.
proxyConfiguration	object	No	{"useApifyProxy":false}	Optional. The data is public and works without a proxy.

Output Data

stats holds every statistic as numbers, for example goals, points, savePct or goalsAgainstAverage. season is the NHL season id, such as 20252026. rank follows the stat you sorted by. Fields that do not apply are null.

A real dataset item:

{
  "report": "skater",
  "season": 20252026,
  "gameType": "regular",
  "rank": 1,
  "playerId": 8478402,
  "name": "Connor McDavid",
  "teamId": null,
  "team": "EDM",
  "position": "C",
  "gamesPlayed": 82,
  "stats": {
    "assists": 90,
    "evGoals": 34,
    "evPoints": 82,
    "faceoffWinPct": 0.49512,
    "gameWinningGoals": 4,
    "gamesPlayed": 82,
    "goals": 48,
    "otGoals": 1,
    "penaltyMinutes": 44,
    "plusMinus": 17,
    "points": 138,
    "pointsPerGame": 1.68292,
    "ppGoals": 13,
    "ppPoints": 54,
    "shGoals": 1,
    "shPoints": 2,
    "shootingPct": 0.15686,
    "shots": 306,
    "timeOnIcePerGame": 1379.1219
  },
  "scrapedAt": "2026-09-21T11:24:34.904Z"
}

Usage Examples

Top 25 scorers of 2025-26

{
  "report": "skater",
  "season": 2025,
  "sortStat": "points",
  "maxRows": 25
}

Every goalie by save percentage

{
  "report": "goalie",
  "season": 2025,
  "sortStat": "savePct",
  "maxRows": 0
}

Team stats for the playoffs

{
  "report": "team",
  "season": 2025,
  "gameType": "playoffs",
  "maxRows": 0
}

Tips for Best Results

• Default is 5 results for a fast test. Set the max to 0 to return everything available.

Known Limitations

• Season totals only; game logs and splits are not included.
• Sort stat names follow the source, such as savePct and goalsAgainstAverage.
• Preseason and the first days of a season have few rows.
• Current-season numbers change after every game.

Integrations

Run it from the Apify API, on a schedule, or from a webhook. Send results straight to Google Sheets, Make, Zapier, Slack or your own database with Apify's built-in integrations.

Export Formats

Download the dataset as JSON, CSV, Excel, XML, HTML table or RSS from the Output tab or the API.

Frequently Asked Questions

Does it need an account or API key?

No. The Actor reads public data and needs no account or key.

Am I charged for failed results?

No. You are only charged for results that are written to the dataset.

Do I need an account or login?

No. The Actor reads public data and needs no account or key.

Am I charged for failed runs or empty results?

You are only charged for results that are actually written to the dataset.

Can I run it on a schedule?

Yes. Create a Task with your input and add a schedule in Apify Console. With monitor mode on, each scheduled run returns only what changed since the previous one.

Support

Questions or a missing field? Open an issue from the Issues tab on this Actor's page and it will be looked at.

Legal / Responsible Use

You are responsible for using the data in line with the source's terms and applicable law. The Actor collects publicly available data only and is not affiliated with the source.