UFC Stats API: per-fight and round-by-round statistics as JSON

$ curl "https://api.ufcalendar.com/v1/fights/61204/rounds" \
    -H "Authorization: Bearer $UFCAL_KEY"

{
  "data": [
    {
      "round_number": 1,
      "fighter_id": 1187, "fighter_position": "a",
      "knockdowns": 0,
      "sig_strikes_landed": 14, "sig_strikes_attempted": 27,
      "total_strikes_landed": 21, "total_strikes_attempted": 35,
      "head_landed": 6, "body_landed": 5, "leg_landed": 3,
      "distance_landed": 9, "clinch_landed": 2, "ground_landed": 3,
      "takedowns_landed": 1, "takedowns_attempted": 2,
      "submission_attempts": 0, "reversals": 0, "control_time_sec": 152,
      ...

import requests, pandas as pd

API = "https://api.ufcalendar.com/v1"
H = {"Authorization": f"Bearer {UFCAL_KEY}"}

# Latest completed UFC card -> every fight's per-round lines -> one DataFrame
event = requests.get(f"{API}/events", params={"org": "ufc", "status": "completed", "limit": 1}, headers=H).json()["data"][0]
card = requests.get(f"{API}/events/{event['slug']}", headers=H).json()["data"]["fights"]

rows = []
for f in card:
    rows += requests.get(f"{API}/fights/{f['id']}/rounds", headers=H).json()["data"]

df = pd.DataFrame(rows)
print(df.groupby("fighter_id")[["sig_strikes_landed", "takedowns_landed", "control_time_sec"]].sum()
        .sort_values("sig_strikes_landed", ascending=False).head(10))

const API = "https://api.ufcalendar.com/v1";
const headers = { Authorization: `Bearer ${process.env.UFCAL_KEY}` };

// Per-fight totals for both corners, then a fighter's career rates
const totals = await fetch(`${API}/fights/61204/stats`, { headers }).then((r) => r.json());
for (const line of totals.data) {
  console.log(line.fighter_position, `${line.sig_strikes_landed}/${line.sig_strikes_attempted} sig. strikes`);
}
const career = await fetch(`${API}/fighters/islam-makhachev/stats`, { headers }).then((r) => r.json());
console.log(career.data.find((s) => s.scope === "pro-mma"));