NFL game logs API for player statistics

The NFL request

Use /api/v1/stats/player-games with sport=NFL. NFL uses the starting year: season=2026 is the 2026 season. Independent ESPN statistics cover NBA, NFL and NHL as limited retained game samples, not full seasons. As of 2026-11-03 those samples were captured after the games were played, so they do not show what was known at game time.

curl --fail-with-body "https://draftkingsapi.com/api/v1/stats/player-games?sport=NFL&season=2026&completed=true&limit=50" \
  -H "Authorization: Bearer $DRAFTKINGS_API_KEY"

One row per category

An NFL player game is not one row. A player can have one row per category within a game, so a receiver who also rushed has two. Combine rows on event_id plus athlete_id when you want one line per game. The event ID is on game.event_id.

The label YDS and TD repeat across categories, so always read a statistic by key and category, never by label alone. The request cannot filter on category. Filter returned rows on your side.

Merge categories into one game line

This merge keeps one dictionary per game and athlete and prefixes nothing, since NFL keys such as receivingYards already name their category. Check for key collisions in the categories you merge.

from collections import defaultdict

games = defaultdict(dict)
for row in rows:
    game = row["game"]
    key = (game["event_id"], row["data"]["athlete_id"])
    games[key]["starts_at"] = game["starts_at"]
    games[key]["name"] = row["data"]["name"]
    for stat in row["data"]["stats"]:
        if stat["scope"] == "game":
            games[key][stat["key"]] = stat["numeric"]

for line in sorted(games.values(), key=lambda g: g["starts_at"]):
    print(line["starts_at"][:10], line["name"], line.get("receivingYards"))

Read one athlete's games

Add athlete_id, a numeric ESPN ID. There is no name search, so read it from a page of rows, filtered by team_id to stay small. Use from and to for a week's dates: the API has no week parameter.

curl --fail-with-body "https://draftkingsapi.com/api/v1/stats/player-games?sport=NFL&season=2026&athlete_id=ATHLETE_ID&limit=50" \
  -H "Authorization: Bearer $DRAFTKINGS_API_KEY"

Pages follow a cursor based on event, athlete and category, not date. Follow pagination.next through after, then sort on game.starts_at. limit accepts 1 to 200.

Display-only and nullable values

A statistic keeps its source string in display and sets numeric only when that string is a plain number. Values such as attempts and completions in one field stay display-only. starter and did_not_play can be null on NFL rows, which means unknown rather than false.

Sport-specific limits

Stored NFL samples are limited. A valid season does not mean every week or player is present. Read available and coverage on each response, and the coverage report for counts. Rows are ESPN identities, separate from DraftKings IDs, and they are not settlement data for any entry.

/api/v1/context/player-stats?sport=NFL is a second source for games the sportsbook collector observed, with statistics entries holding key, label and value strings. As of 2026-11-03, native sportsbook scopes cover New York NFL, NHL, college basketball and college football game lines and New York NHL Shots on Goal, points, assists, saves, goalscorers, power-play points and first-period shots. Read snapshots and streamed changes through the sportsbook endpoints. ESPN-attributed DraftKings moneyline, spread and total observations are also available across eight leagues. Current scope inventory is listed at /api/v1/sportsbook/scopes.

Check the recorded data

• Measured coverage report
• Sources and status
• Player pages

Related resources