How do I get NFL standings in Python?

The call

season is the year the regular season starts and defaults to the current one. Filter with conference or division. conference_rank is the playoff seed, with the four division winners in seeds 1 to 4.

import requests
import pandas as pd

API_KEY = "YOUR_API_KEY"

resp = requests.post(
    "https://mcp.endzoneapi.com/v1/get_standings",
    headers={"x-api-key": API_KEY},
    json={},
    timeout=60,
)
resp.raise_for_status()
data = resp.json()["data"]

table = pd.DataFrame(data["standings"])
print("season", data["season"], "-", len(table), "teams")
cols = ["conference_rank", "team", "wins", "losses", "ties", "point_diff", "streak"]
for conf, rows in table.groupby("conference"):
    print(conf)
    print(rows.sort_values("conference_rank")[cols].head(7).to_string(index=False))

Replace YOUR_API_KEY with a key from your dashboard. Python needs requests and pandas (pip install requests pandas). JavaScript runs on Node 18 or newer, or in the browser.

What comes back

The data object of the response, trimmed to the first rows. Every field is real output from the run above.

{
  "season": 2026,
  "standings": [
    {
      "team": "BUF",
      "name": "Buffalo Bills",
      "conference": "AFC",
      "division": "AFC East",
      "division_rank": 1,
      "conference_rank": 3,
      "division_tiebreaker": "record",
      "conference_tiebreaker": "conference record",
      "wins": 3,
      "losses": 1,
      "ties": 0,
      "win_pct": 0.75,
      "games_played": 4,
      "points_for": 127,
      "points_against": 107,
      "point_diff": 20,
      "home": "2-1",
      "away": "1-0",
      "division_record": "0-1",
      "conference_record": "2-1",
      "streak": "L1",
      "updated_at": "2026-10-11T10:00:52.865Z"
    },
    {
      "team": "NE",
      "name": "New England Patriots",
      "conference": "AFC",
      "division": "AFC East",
      "division_rank": 2,
      "conference_rank": 7,
      "division_tiebreaker": "record",
      "conference_tiebreaker": "conference record",
      "wins": 2,
      "losses": 2,
      "ties": 0,
      "win_pct": 0.5,
      "games_played": 4,
      "points_for": 65,
      "points_against": 77,
      "point_diff": -12,
      "home": "1-0",
      "away": "1-2",
      "division_record": "1-0",
      "conference_record": "2-1",
      "streak": "W1",
      "updated_at": "2026-10-11T10:00:52.865Z"
    },
    "...30 more"
  ],
  "count": 32,
  "note": "Ranks apply the NFL tiebreaking procedure: head-to-head, division record, common games, conference record, strength of victory, strength of schedule, the points rankings, then net points. conference_rank is the playoff seed, so the four division winners hold seeds 1-4 regardless of record. division_tiebreaker and conference_tiebreaker name the step that decided each position, or 'record' when the club was never tied. The published ladder's last two steps, net touchdowns and a coin toss, are not applied; anything still tied after net points is ordered by team code."
}

What to do next

• get_team_stats (5 credits). Offense and defense per game for any club.
• get_schedule (2 credits). What each club plays next.

More guides

• How do I backtest NFL closing lines in Python?
• How do I calculate NFL EPA per play in Python?
• How do I get an NFL player's weekly stats in Python?
• How do I get NFL Next Gen Stats in Python?