How do I get PFL odds and results for a card in Python?
Every fight on a PFL card with each sportsbook's opening and closing moneyline next to the winner and method. Favourites won 6 of the 9 priced fights on this card.
Code verified October 12, 2026. One call to get_odds, 5 credits.
The call
event_id comes from list_events with league: "pfl". Use bout_id for one fight. Three or four books priced each fight on this card. Pass league: "bellator" for Bellator cards.
import requests
import pandas as pd
API_KEY = "YOUR_API_KEY"
resp = requests.post(
"https://mcp.fighterapi.com/v1/get_odds",
headers={"x-api-key": API_KEY},
json={
"event_id": "600056091",
"league": "pfl",
},
timeout=60,
)
resp.raise_for_status()
data = resp.json()["data"]
def implied(odds):
return 100 / (odds + 100) if odds > 0 else -odds / (-odds + 100)
rows = []
for b in data["bouts"]:
books = [x for x in b["books"] if None not in (x["a_open"], x["a_close"], x["b_open"], x["b_close"])]
if not books or b["winner"] is None:
continue
open_a = pd.Series([implied(x["a_open"]) / (implied(x["a_open"]) + implied(x["b_open"])) for x in books]).median()
close_a = pd.Series([implied(x["a_close"]) / (implied(x["a_close"]) + implied(x["b_close"])) for x in books]).median()
a_won = b["winner"] == b["fighter_a"]
rows.append({
"fight": b["fighter_a_name"] + " v " + b["fighter_b_name"],
"books": len(books),
"a_open": open_a,
"a_close": close_a,
"favourite_won": (close_a > 0.5) == a_won,
"method": b["method_display"],
})
df = pd.DataFrame(rows)
print(data["bouts"][0]["event_name"])
print(df.round(3).to_string(index=False))
print("favourite won:", int(df["favourite_won"].sum()), "of", len(df))
print("largest open to close move:", df.loc[(df["a_close"] - df["a_open"]).abs().idxmax(), "fight"])
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.
{
"bouts": [
{
"bout_id": "401827987",
"event_id": "600056091",
"event_name": "PFL Lyon: Nemkov vs. Ferreira",
"event_date": "2025-12-13",
"starts_at": "2025-12-13T16:00:00.000Z",
"weight_class": "Heavyweight",
"card_segment": "main",
"match_number": 1,
"title_fight": true,
"scheduled_rounds": 5,
"status": "final",
"fighter_a": "3955014",
"fighter_a_name": "Vadim Nemkov",
"fighter_b": "4408708",
"fighter_b_name": "Renan Ferreira",
"winner": "3955014",
"method": "submission",
"method_display": "Submission",
"end_round": 1,
"end_clock": "4:00",
"duration_seconds": 240,
"judges_scores": null,
"referee": null,
"books": [
{
"provider": "BetMGM",
"a_open": -450,
"a_close": -700,
"a_current": -700,
"b_open": 350,
"b_close": 500,
"b_current": 500,
"a_close_prob": 0.875,
"b_close_prob": 0.16666666666666666,
"total_rounds": null,
"over_odds": null,
"under_odds": null,
"captured_at": "2025-12-13T15:50:37.000Z"
},
{
"provider": "BetOnline",
"a_open": -500,
"a_close": -620,
"a_current": -620,
"b_open": 375,
"b_close": 470,
"b_current": 470,
"a_close_prob": 0.8611111111111112,
"b_close_prob": 0.17543859649122806,
"total_rounds": 1.5,
"over_odds": 130,
"under_odds": -150,
"captured_at": "2025-12-13T15:50:37.000Z"
},
"...2 more"
]
},
{
"bout_id": "401831835",
"event_id": "600056091",
"event_name": "PFL Lyon: Nemkov vs. Ferreira",
"event_date": "2025-12-13",
"starts_at": "2025-12-13T16:00:00.000Z",
"weight_class": "Women's Flyweight",
"card_segment": "main",
"match_number": 2,
"title_fight": true,
"scheduled_rounds": 5,
"status": "final",
"fighter_a": "2354564",
"fighter_a_name": "Cris Cyborg",
"fighter_b": "5127785",
"fighter_b_name": "Sara Collins",
"winner": "2354564",
"method": "submission",
"method_display": "Submission",
"end_round": 3,
"end_clock": "2:55",
"duration_seconds": 775,
"judges_scores": null,
"referee": null,
"books": [
{
"provider": "BetMGM",
"a_open": -750,
"a_close": -1200,
"a_current": -1200,
"b_open": 525,
"b_close": 750,
"b_current": 750,
"a_close_prob": 0.9230769230769232,
"b_close_prob": 0.1176470588235294,
"total_rounds": null,
"over_odds": null,
"under_odds": null,
"captured_at": "2025-12-13T15:50:37.000Z"
},
{
"provider": "BetOnline",
"a_open": -800,
"a_close": -1200,
"a_current": -1200,
"b_open": 550,
"b_close": 750,
"b_current": 750,
"a_close_prob": 0.9230769230769232,
"b_close_prob": 0.1176470588235294,
"total_rounds": 1.5,
"over_odds": -145,
"under_odds": 125,
"captured_at": "2025-12-13T15:50:37.000Z"
},
"...1 more"
]
},
"...8 more"
],
"count": 28
}What to do next
- get_line_movement (10 credits). Snapshots of a fight's line, to test the open against the close.
- get_event (2 credits). The whole card with results and methods.
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